Journal articles: 'Sensor networks – Quality control'

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Bruneo, D., A. Puliafito, and M. Scarpa. "Energy control in dependable wireless sensor networks: a modelling perspective." Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability 225, no. 4 (July 20, 2011): 424–34. http://dx.doi.org/10.1177/1748006x10397845.

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Wireless sensor networks (WSN) are composed of a large number of tiny sensor nodes randomly distributed over a geographical region. In order to reduce power consumption, battery-operated sensors undergo cycles of sleeping–active periods that reduce their ability to send/receive data. Starting from the Markov reward model theory, this paper presents a dependability model to analyse the reliability of a sensor node. Also, a new dependability parameter is introduced, referred to as producibility, which is able to capture the capability of a sensor to accomplish its mission. Two different model solution techniques are proposed, one based on the evaluation of the accumulated reward distribution and the other based on an equivalent model based on non-Markovian stochastic Petri nets. The obtained results are used to investigate the dependability of a whole WSN taking into account the presence of redundant nodes. Topological aspects are taken into account, providing a quantitative comparison among three typical network topologies: star, tree, and mesh. Numerical results are provided in order to highlight the advantages of the proposed technique and to demonstrate the equivalence of the proposed approaches.

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Bok, Kyoungsoo, Eunkyung Ryu, Junho Park, Jaijin Jung, and Jaesoo Yoo. "Multimedia congestion control in wireless sensor networks." Computer Science and Information Systems 12, no. 2 (2015): 801–21. http://dx.doi.org/10.2298/csis141009027b.

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In this paper, we propose a new congestion control scheme to minimize data loss and maintain data quality in wireless multimedia sensor networks. The proposed scheme extracts and transfers dynamic regions by considering monitoring characteristics over multimedia sensor network environments to reduce the transferred data. Furthermore, it can reduce the packet size by deleting and transferring low-priority bit data by considering multimedia data characteristics during congestion situations to minimize packet loss. To show the superiority of the proposed scheme, we compare it with the existing congestion control schemes through simulation.

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Taylor, J. R., and H. L. Loescher. "Automated quality control methods for sensor data: a novel observatory approach." Biogeosciences 10, no. 7 (July 24, 2013): 4957–71. http://dx.doi.org/10.5194/bg-10-4957-2013.

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Abstract. National and international networks and observatories of terrestrial-based sensors are emerging rapidly. As such, there is demand for a standardized approach to data quality control, as well as interoperability of data among sensor networks. The National Ecological Observatory Network (NEON) has begun constructing their first terrestrial observing sites, with 60 locations expected to be distributed across the US by 2017. This will result in over 14 000 automated sensors recording more than > 100 Tb of data per year. These data are then used to create other datasets and subsequent "higher-level" data products. In anticipation of this challenge, an overall data quality assurance plan has been developed and the first suite of data quality control measures defined. This data-driven approach focuses on automated methods for defining a suite of plausibility test parameter thresholds. Specifically, these plausibility tests scrutinize the data range and variance of each measurement type by employing a suite of binary checks. The statistical basis for each of these tests is developed, and the methods for calculating test parameter thresholds are explored here. While these tests have been used elsewhere, we apply them in a novel approach by calculating their relevant test parameter thresholds. Finally, implementing automated quality control is demonstrated with preliminary data from a NEON prototype site.

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Taylor, J. R., and H. L. Loescher. "Automated quality control methods for sensor data: a novel observatory approach." Biogeosciences Discussions 9, no. 12 (December 14, 2012): 18175–210. http://dx.doi.org/10.5194/bgd-9-18175-2012.

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Abstract. National and international networks and observatories of terrestrial-based sensors are emerging rapidly. As such, there is demand for a standardized approach to data quality control, as well as interoperability of data among sensor networks. The National Ecological Observatory Network (NEON) has begun constructing their first terrestrial observing sites with 60 locations expected to be distributed across the US by 2017. This will result in over 14 000 automated sensors recording more than > 100 Tb of data per year. These data are then used to create other datasets and subsequent "higher-level" data products. In anticipation of this challenge, an overall data quality assurance plan has been developed and the first suite of data quality control measures defined. This data-driven approach focuses on automated methods for defining a suite of plausibility test parameter thresholds. Specifically, these plausibility tests scrutinize data range, persistence, and stochasticity on each measurement type by employing a suite of binary checks. The statistical basis for each of these tests is developed and the methods for calculating test parameter thresholds are explored here. While these tests have been used elsewhere, we apply them in a novel approach by calculating their relevant test parameter thresholds. Finally, implementing automated quality control is demonstrated with preliminary data from a NEON prototype site.

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Tati, Reza, Fariborz Ahmadi, Farhad Jafari, and Mostafa Tofighi. "Quality of Service Support in Wireless Sensor Networks." Key Engineering Materials 467-469 (February 2011): 2078–84. http://dx.doi.org/10.4028/www.scientific.net/kem.467-469.2078.

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All of middlewares of modern wireless sensor networks has this weakness that many of these middlewares have the ability to simultaneous support from limit amounts of quality of service parameters. Our aim is simultaneous and dynamic support from several quality of service measure in middleware layer with obtained weight coefficients. In this paper, we add a layer of Quality of service management to middleware, in which this layer has duty of service of Quality of service management and control. This layer answers demanded Quality of service improvement from application by wireless sensor network.

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Li, Xiaomin, Lixue Zhu, Xuan Chu, and Han Fu. "Edge Computing-Enabled Wireless Sensor Networks for Multiple Data Collection Tasks in Smart Agriculture." Journal of Sensors 2020 (February 25, 2020): 1–9. http://dx.doi.org/10.1155/2020/4398061.

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At present, precision agriculture and smart agriculture are the hot topics, which are based on the efficient data collection by using wireless sensor networks (WSNs). However, agricultural WSNs are still facing many challenges such as multitasks, data quality, and latency. In this paper, we propose an efficient solution for multiple data collection tasks exploiting edge computing-enabled wireless sensor networks in smart agriculture. First, a novel data collection framework is presented by merging WSN and edge computing. Second, the data collection process is modeled, including a plurality of sensors and tasks. Next, according to each specific task and correlation between task and sensors, on the edge computing server, a double selecting strategy is established to determine the best node and sensor network that fulfills quality of data and data collection time constraints of tasks. Furthermore, a data collection algorithm is designed, based on set values for quality of data. Finally, a simulation environment is constructed where the proposed strategy is applied, and results are analyzed and compared to the traditional methods. According to the comparison results, the proposal outperforms the traditional methods in metrics.

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Mwashita, Weston, and Marcel Ohanga Odhiambo. "A Power Control Strategy for IoT Sensors Developed for 5G Networks." International Journal of Smart Sensor Technologies and Applications 1, no. 1 (January 2020): 22–41. http://dx.doi.org/10.4018/ijssta.2020010103.

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This research work presents a power control mechanism developed for ProSe-enabled sensors so that the sensors can be smoothly integrated into the fifth generation (5G) of mobile networks. It is strongly anticipated that 5G networks will provide an enabling environment for the 21st century innovations like the internet of things (IoT). Sensors are pivotal in IoT. The proposed power control mechanism involves an open loop power control (OLPC) mechanism that a ProSe-enabled sensor has to use to establish communication with a base station (BS) and a closed loop power control (CLPC) the BS then has use to establish transmit power levels for devices to be involved in a device to device (D2D) communication depending on the prevailing channel conditions. The results obtained demonstrate that the developed scheme does not adversely affect the quality of service (QoS) of a 5G mobile network.

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Ogbodo, Emmanuel, David Dorrell, and Adnan Abu-Mahfouz. "Energy-efficient distributed heterogeneous clustered spectrum-aware cognitive radio sensor network for guaranteed quality of service in smart grid." International Journal of Distributed Sensor Networks 17, no. 7 (July 2021): 155014772110283. http://dx.doi.org/10.1177/15501477211028399.

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The development of a modern electric power grid has triggered the need for large-scale monitoring and communication in smart grids for efficient grid automation. This has led to the development of smart grids, which utilize cognitive radio sensor networks, which are combinations of cognitive radios and wireless sensor networks. Cognitive radio sensor networks can overcome spectrum limitations and interference challenges. The implementation of dense cognitive radio sensor networks, based on the specific topology of smart grids, is one of the critical issues for guaranteed quality of service through a communication network. In this article, various topologies of ZigBee cognitive radio sensor networks are investigated. Suitable topologies with energy-efficient spectrum-aware algorithms of ZigBee cognitive radio sensor networks in smart grids are proposed. The performance of the proposed ZigBee cognitive radio sensor network model with its control algorithms is analyzed and compared with existing ZigBee sensor network topologies within the smart grid environment. The quality of service metrics used for evaluating the performance are the end-to-end delay, bit error rate, and energy consumption. The simulation results confirm that the proposed topology model is preferable for sensor network deployment in smart grids based on reduced bit error rate, end-to-end delay (latency), and energy consumption. Smart grid applications require prompt, reliable, and efficient communication with low latency. Hence, the proposed topology model supports heterogeneous cognitive radio sensor networks and guarantees network connectivity with spectrum-awareness. Hence, it is suitable for efficient grid automation in cognitive radio sensor network–based smart grids. The traditional model lacks these capability features.

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Ganesan, Sangeetha, Vijayalakshmi Muthuswamy, Ganapathy Sannasi, and Kannan Arputharaj. "A Comprehensive Analysis of Congestion Control Models in Wireless Sensor Networks." International Journal of Strategic Information Technology and Applications 9, no. 4 (October 2018): 15–37. http://dx.doi.org/10.4018/ijsita.2018100102.

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Congestion control is an important factor for performance improvement in wireless sensor networks (WSNs). Congestion occurs due to various reasons including a variation in the data rate between incoming and outgoing links, buffer size, flooding attacks and multiple inputs and minimum output capability. Various outcomes of congestion in sensor networks include immense packet loss or packet drop, fast energy depletion, unfairness across the network, reduced node performance and increased delay in packet delivery. Hence, there is an extreme need to check channel congestion in order to enhance the performance with better congestion management. The job of choosing a suitable congestion control technique is a challenging task for the network designer. In this article, the authors traverse through the underlying conceptual ideas on congestion control schemes which come under six unique models. This article highlights a survey on the existing works done so far on congestion control domains in sensor networks. A comparative analysis based on Quality of Service parameters has been discussed.

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Sastry, Shivakumar, and S. S. Iyengar. "Real-Time Sensor-Actuator Networks." International Journal of Distributed Sensor Networks 1, no. 1 (February 2005): 17–34. http://dx.doi.org/10.1080/15501320490886314.

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Emerging technologies offer new paradigms for computation, control, collaboration, and communication. To realize the full potential of these technologies in industry, defense, and homeland security applications, it is necessary to exploit the real-time distributed computing capabilities of sensor-actuator networks. To reliably design and develop such networks, it is necessary to develop deeper insight into the underlying model for real-time computation and the infrastructure at the node level that supports this model. In this paper, we discuss a new node-level operating system and mechanisms necessary to deploy reliable applications. The overriding issue that guides the design of this operating system is quality of service metric called predictability. A sensor-actuator network is a distributed platform for integrated computation and control in real-time environments. The nodes in such a network are distinguished by being resource constrained. The power of the network arises from the interactions between simple nodes. Such a network extends the popular distributed sensor networks in several dimensions. After identifying a real-time model, we develop a notion of predictability for a sensor-actuator network. We discuss how the node-level operating system is designed in the resource-constrained environment. An efficient multithreading mechanism and scheduling strategy are required to ensure that local tasks are executed within jitter bounds and that end-to-end delays do not violate application constraints. Mechanisms to support communication, monitoring, safety, fault tolerance, programming, diagnosability, reconfiguration, composability, interoperability, and security are discussed.

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Zhijun, Yang. "Analysis of Asymmetric Polling Control System in Wireless Sensor Networks." International Journal of Performability Engineering 15, no. 10 (2019): 2783. http://dx.doi.org/10.23940/ijpe.19.10.p25.27832793.

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Shakir, Mustafa, Obaid Ur Rehman, Zeeshan Abbas, Abdullah Masood, and Wajeeha Shahid. "Evaluation of Video Quality in Wireless Multimedia Sensor Networks." International Journal of Electrical and Computer Engineering (IJECE) 6, no. 1 (February 1, 2016): 223. http://dx.doi.org/10.11591/ijece.v6i1.7573.

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Simulating wireless sensor networks; there implementation and evaluation, require the use of a discrete event simulator. Omnet++ is quite a powerful simulator which supports concise and easy modeling of wired as well as wireless sensors environment. Scenarios involving multimedia transmissions with characteristics of video quality control and evaluation must be computed on the basis of Quality of Experience which relies on user’s perception to maintain the video quality. For the multimedia growth and awareness of future WMSNs, it is quite necessary that the performance should be tested for different types of radio models. So varying the radio parameters may allow for the optimization and improvement of the video quality. In this paper we have provided a test bench for the easy evaluation and optimization of the performance of WMSNs using different radio models. The performance is evaluated based on the QoE metrics; i.e. PSNR(Peak Signal-to-Noise ratio) and MoS(Mean Opinion Score), which depend on user’s perception to maintain the video quality.

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Shakir, Mustafa, Obaid Ur Rehman, Zeeshan Abbas, Abdullah Masood, and Wajeeha Shahid. "Evaluation of Video Quality in Wireless Multimedia Sensor Networks." International Journal of Electrical and Computer Engineering (IJECE) 6, no. 1 (February 1, 2016): 223. http://dx.doi.org/10.11591/ijece.v6i1.pp223-234.

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Simulating wireless sensor networks; there implementation and evaluation, require the use of a discrete event simulator. Omnet++ is quite a powerful simulator which supports concise and easy modeling of wired as well as wireless sensors environment. Scenarios involving multimedia transmissions with characteristics of video quality control and evaluation must be computed on the basis of Quality of Experience which relies on user’s perception to maintain the video quality. For the multimedia growth and awareness of future WMSNs, it is quite necessary that the performance should be tested for different types of radio models. So varying the radio parameters may allow for the optimization and improvement of the video quality. In this paper we have provided a test bench for the easy evaluation and optimization of the performance of WMSNs using different radio models. The performance is evaluated based on the QoE metrics; i.e. PSNR(Peak Signal-to-Noise ratio) and MoS(Mean Opinion Score), which depend on user’s perception to maintain the video quality.

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Shiltagh, Nadia, and Zainab Faisal. "Traffic Management in Wireless Sensor Network Based on Modified Neural Networks." Iraqi Journal for Computers and Informatics 41, no. 1 (December 31, 2014): 4–8. http://dx.doi.org/10.25195/ijci.v41i1.90.

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Wireless Sensor Networks (WSNs) are event-driven network systems consist of many sensors node which aredensely deployed and wirelessly interconnected that allow retrieving of monitoring data. In Wireless sensor network,whenever an event is detected, the data related to the event need to be sent to the sink node (data collection node). Sink nodeis the bottleneck of network there may be chance for congestion due to heavy data traffic. Due to congestion, it leads to dataloss; it may be important data also. To achieve this objective, soft computing based on Neural Networks (NNs) CongestionController approach is proposed. The NN is activated using wavelet activation function that is used to control the traffic ofthe WSN. The proposed approach which is called as Modified Neural Network Wavelet Congestion Control (MNNWCC), hasthree main activities: the first one is detecting the congestion as congestion level indications; the second one is estimated thetraffic rate that the upstream traffic rate is adjusted to avoid congestion in next time, the last activates of the proposedapproach is improved the Quality of Services (QoS), by enhancement the Packet Loss Ratio (PLR), Throughput (TP), BufferUtilization (BU) and Network Energy (NE) . The simulation results show that the proposed approach can avoid the networkcongestion and improve the QoS of network.

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Zhang, Jin, Yajie Ma, and Doudou Hong. "Research on Data Quality Assessment of Accuracy and Quality Control Strategy for Sensor Networks." Journal of Physics: Conference Series 1288 (August 2019): 012041. http://dx.doi.org/10.1088/1742-6596/1288/1/012041.

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Antonopoulos, Angelos, and Christos Verikoukis. "Network-Coding-Based Cooperative ARQ Medium Access Control Protocol for Wireless Sensor Networks." International Journal of Distributed Sensor Networks 8, no. 1 (September 12, 2011): 601321. http://dx.doi.org/10.1155/2012/601321.

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We introduce a novel Medium Access Control (MAC) protocol for Automatic Repeat reQuest-based (ARQ-based) cooperative wireless sensor networks. Using network coding techniques, we achieve a better network performance in terms of energy efficiency without compromising the offered Quality of Service (QoS). The proposed solution is compared to other cooperative schemes, while analytical and simulation results are provided to evaluate our protocol.

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Agresta, Annalisa, Grazia Fattoruso, Bruno Lanza, Massimiliano Fabbricino, Marco Trifuoggi, Saverio De Vito, and Girolamo Di Francia. "Applying Numerical Models and Optimized Sensor Networks for Drinking Water Quality Control." Procedia Engineering 119 (2015): 918–26. http://dx.doi.org/10.1016/j.proeng.2015.08.969.

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Tang, Shensheng, and Brenten Davis. "Analysis and control of quality of information (QoI) for wireless sensor networks." International Journal of Wireless and Mobile Computing 8, no. 2 (2015): 103. http://dx.doi.org/10.1504/ijwmc.2015.068629.

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Baek, Yoonchul, Mahin Atiq, and Hyung Kim. "Adaptive Preheating Duration Control for Low-Power Ambient Air Quality Sensor Networks." Sensors 14, no. 3 (March 20, 2014): 5536–51. http://dx.doi.org/10.3390/s140305536.

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Yi, Jun Min, and Dong Kun Noh. "Adaptive Video-Data Quality Control for Solar-Energy-Harvesting Wireless Sensor Networks." International Journal of Multimedia and Ubiquitous Engineering 9, no. 1 (January 31, 2014): 153–62. http://dx.doi.org/10.14257/ijmue.2014.9.1.15.

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Zhang, Peilin, Mohamed Abdelaal, and Oliver Theel. "Quality of service control in proactive wireless sensor networks via lifetime planning." International Journal of Sensor Networks 26, no. 4 (2018): 252. http://dx.doi.org/10.1504/ijsnet.2018.090486.

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Zhang, Peilin, Oliver Theel, and Mohamed Abdelaal. "Quality of service control in proactive wireless sensor networks via lifetime planning." International Journal of Sensor Networks 26, no. 4 (2018): 252. http://dx.doi.org/10.1504/ijsnet.2018.10011722.

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Casado-Vara, Roberto, Zita Vale, Javier Prieto, and Juan Corchado. "Fault-Tolerant Temperature Control Algorithm for IoT Networks in Smart Buildings." Energies 11, no. 12 (December 7, 2018): 3430. http://dx.doi.org/10.3390/en11123430.

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The monitoring of the Internet of things networks depends to a great extent on the availability and correct functioning of all the network nodes that collect data. This network nodes all of which must correctly satisfy their purpose to ensure the efficiency and high quality of monitoring and control of the internet of things networks. This paper focuses on the problem of fault-tolerant maintenance of a networked environment in the domain of the internet of things. Based on continuous-time Markov chains, together with a cooperative control algorithm, a novel feedback model-based predictive hybrid control algorithm is proposed to improve the maintenance and reliability of the internet of things network. Virtual sensors are substituted for the sensors that the algorithm predicts will not function properly in future time intervals; this allows for maintaining reliable monitoring and control of the internet of things network. In this way, the internet of things network improves its robustness since our fault tolerant control algorithm finds the malfunction nodes that are collecting incorrect data and self-correct this issue replacing malfunctioning sensors with new ones. In addition, the proposed model is capable of optimising sensor positioning. As a result, data collection from the environment can be kept stable. The developed continuous-time control model is applied to guarantee reliable monitoring and control of temperature in a smart supermarket. Finally, the efficiency of the presented approach is verified with the results obtained in the conducted case study.

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Yang, Xiaoqing. "A Quality of Service Routing Algorithm in Wireless Sensor Networks." International Journal of Online Engineering (iJOE) 13, no. 07 (July 21, 2017): 47. http://dx.doi.org/10.3991/ijoe.v13i07.7280.

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An Quality of Service(QOS) secure routing algorithm based on ant colony optimization is put forward to solve a variety of security problems in wireless sensor networks. The algorithm combines the ant colony optimization algorithm with the credit evaluation mechanism, and introduces the node 's credit as the control factor to obtain better security performance. The algorithm first cuts the network topology according to the QOS requirements, kicks out the nodes that do not meet the QOS requirements, and then quickly converges the route to the optimal route according to the ant colony optimization method. Finally, the security analysis of the algorithm is carried out from various aspects of network layer attack. The experimental results show that the algorithm has very good performance in wireless sensor networks. As a result, it is concluded that it can be widely applied in wireless sensor networks.

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Dr. Sukhkirandeep Kaur, Makul Mahajan,. "An Intelligent Path Evaluation Algorithm for Congestion Control in Wireless Sensor Networks." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 6 (April 5, 2021): 3106–14. http://dx.doi.org/10.17762/turcomat.v12i6.6953.

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In Wireless Sensor Networks (WSNs), congestion occurs when the traffic load on the node reaches obvious network channel power and is considered as a prominent problem. So it is highly essential to identify, prevent and fix congestion when taking into account the network’s restricted re- sources. If congestion in the network is not managed correctly, it can lead to significant loss of QoS parameters, such as decreasing network throughput, increasing energy usage, and decreasing the distribution ratio of packets at the destination or sink node. In this article, we have formulated an algorithm to manage congestion using a modified ant colony algorithm that considers the residual energy, buffer occupancy and bandwidth of the neighbour node for selecting the best node to route the traffic that needs strict QoS requirements. For routing the traffic, there may be a variety of neighbour nodes exists in the network ,and if congestion occurs at any selected neighbour node the algorithm will rework to check the quality of rest of the neighbor nodes by calculating a path preference probability metric. The neighbour node with maximum path preference probability will be selected for routing the data packets belonging to real-time traffic that have stringent QoS. The proposed algorithm was simulated and tested using NS 2.33 and it was found that as opposed to the standard AntSense algorithm, the proposed algorithm is capable of achieving lower average energy consumption and packet loss ratio respectively with higher throughput.

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García Plaza, E., P. Núñez López, and E. Beamud González. "Multi-Sensor Data Fusion for Real-Time Surface Quality Control in Automated Machining Systems." Sensors 18, no. 12 (December 11, 2018): 4381. http://dx.doi.org/10.3390/s18124381.

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Multi-sensor data fusion systems entail the optimization of a wide range of parameters related to the selection of sensors, signal feature extraction methods, and predictive modeling techniques. The monitoring of automated machining systems enables the intelligent supervision of the production process by detecting malfunctions, and providing real-time information for continuous process optimization, and production line decision-making. Monitoring technologies are essential for the reduction of production times and costs, and an improvement in product quality, discarding the need for post-process quality controls. In this paper, a multi-sensor data fusion system for the real-time surface quality control based on cutting force, vibration, and acoustic emission signals was assessed. A total of four signal processing methods were analyzed: time direct analysis (TDA), power spectral density (PSD), singular spectrum analysis (SSA), and wavelet packet transform (WPT). Owing to the nonlinear and stochastic nature of the process, two predictive modeling techniques, multiple regression and artificial neural networks, were evaluated to correlate signal parametric characterization with surface quality. The results showed a high correlation of surface finish with cutting force and vibration signals. The signal processing methods based on signal decomposition in a combined time and frequency domain (SSA and WPT) exhibited better signal feature extraction, detecting excitation frequency ranges correlated to surface finish. The artificial neural network model obtained the highest predictive power, with better behavior for the whole data range. The proposed on-line multi-sensor data fusion provided significant improvements for in-process quality control, with excellent predictive power, reliability, and response times.

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Mueller, Michael, Jonas Meyer, and Christoph Hueglin. "Design of an ozone and nitrogen dioxide sensor unit and its long-term operation within a sensor network in the city of Zurich." Atmospheric Measurement Techniques 10, no. 10 (October 17, 2017): 3783–99. http://dx.doi.org/10.5194/amt-10-3783-2017.

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Abstract. This study focuses on the investigation and quantification of low-cost sensor performance in application fields such as the extension of traditional air quality monitoring networks or the replacement of diffusion tubes. For this, sensor units consisting of two boxes featuring NO2 and O3 low-cost sensors and wireless data transfer were engineered. The sensor units were initially operated at air quality monitoring sites for 3 months for performance analysis and initial calibration. Afterwards, they were relocated and operated within a sensor network consisting of six locations for more than 1 year. Our analyses show that the employed O3 and NO2 sensors can be accurate to 2–5 and 5–7 ppb, respectively, during the first 3 months of operation. This accuracy, however, could not be maintained during their operation within the sensor network related to changes in sensor behaviour. For most of the O3 sensors a decrease in sensitivity was encountered over time, clearly impacting the data quality. The NO2 low-cost sensors in our configuration exhibited better performance but did not reach the accuracy level of NO2 diffusion tubes (∼ 2 ppb for uncorrected 14-day average concentrations). Tests in the laboratory revealed that changes in relative humidity can impact the signal of the employed NO2 sensors similarly to changes in ambient NO2 concentration. All the employed low-cost sensors need to be individually calibrated. Best performance of NO2 sensors is achieved when the calibration models also include time-dependent parameters accounting for changes in sensor response over time. Accordingly, an effective procedure for continuous data control and correction is essential for obtaining meaningful data. It is demonstrated that linking the measurements from low-cost sensors to the high-quality measurements from routine air quality monitoring stations is an effective procedure for both tasks provided that time periods can be identified when pollutant concentrations can be accurately predicted at sensor locations.

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Shi, Baiqian, Stephen Catsamas, Peter Kolotelo, Miao Wang, Anna Lintern, Dusan Jovanovic, Peter M. Bach, Ana Deletic, and David T. McCarthy. "A Low-Cost Water Depth and Electrical Conductivity Sensor for Detecting Inputs into Urban Stormwater Networks." Sensors 21, no. 9 (April 27, 2021): 3056. http://dx.doi.org/10.3390/s21093056.

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High-resolution data collection of the urban stormwater network is crucial for future asset management and illicit discharge detection, but often too expensive as sensors and ongoing frequent maintenance works are not affordable. We developed an integrated water depth, electrical conductivity (EC), and temperature sensor that is inexpensive (USD 25), low power, and easily implemented in urban drainage networks. Our low-cost sensor reliably measures the rate-of-change of water level without any re-calibration by comparing with industry-standard instruments such as HACH and HORIBA’s probes. To overcome the observed drift of level sensors, we developed an automated re-calibration approach, which significantly improved its accuracy. For applications like monitoring stormwater drains, such an approach will make higher-resolution sensing feasible from the budget control considerations, since the regular sensor re-calibration will no longer be required. For other applications like monitoring wetlands or wastewater networks, a manual re-calibration every two weeks is required to limit the sensor’s inaccuracies to ±10 mm. Apart from only being used as a calibrator for the level sensor, the conductivity sensor in this study adequately monitored EC between 0 and 10 mS/cm with a 17% relative uncertainty, which is sufficient for stormwater monitoring, especially for real-time detection of poor stormwater quality inputs. Overall, our proposed sensor can be rapidly and densely deployed in the urban drainage network for revolutionised high-density monitoring that cannot be achieved before with high-end loggers and sensors.

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Wang, Ming Wei, Yue Wang, and Qiang Hua Li. "Deployment of Wireless Sensor Networks for Air Quality Monitoring." Advanced Materials Research 712-715 (June 2013): 1851–55. http://dx.doi.org/10.4028/www.scientific.net/amr.712-715.1851.

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At present, the effective technical means for air quality forecast and air pollution control is imperative for China environment utilities because of the increasing and serious environment pollution problems. In this paper, we discuss an air quality monitoring scenario which utilizes the wireless sensor network (WSN) to monitor the air quality of the transportation, industry and residential areas. Using the WSN, it is possible to deploy a large number of sensor nodes randomly distributed throughout the monitored area to capture environmental information of CO2, NO, NO2 and total suspended particulates. To achieve this goal, a special WSNs architecture is proposed, where the sensor nodes and coordinator nodes are designed by using ZigBee-based prototype wireless network, using GPRS to transmit the data from coordinator node to monitoring center, and designing the monitoring center server accessed from remote terminals through internet. In addition, the open source software (OSS) is proposed to design the database and website of the server. The designed air quality monitoring system reduces the cost of network installation and maintenance and provides a data delivery service for the air quality monitoring service in a timely and reliable manner.

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Gobet, J., P. Rychen, C. Madore, N. Skinner, H. van Buel, and F. Jaggi. "Development of an on-line chlorine sensor for water quality monitoring in public distribution networks." Water Supply 1, no. 2 (March 1, 2001): 211–16. http://dx.doi.org/10.2166/ws.2001.0039.

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A new on-line free chlorine sensor based on a microdisc electrode array is presented. The sensor is microfabricated using microelectronic-based processes. Sensor characteristics include a good linearity in the 0-1 mg/l range, a sensitivity of 13 nA/(mgCl2/l) with a detection limit of 0.02 mg/l of free chlorine. The sensor response has a low pH and flow dependence. A very good stability over 4 weeks of continuous use in drinking water is demonstrated. Mounted on an automatic control valve the sensor will offer the possibility to monitor and control the water quality in a distribution network.

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Zhang, Jie, Wu Jun Yao, and Hai Bin Yang. "An Adaptive Error Control Scheme in Wireless Sensor Networks Based on LQI." Applied Mechanics and Materials 263-266 (December 2012): 915–19. http://dx.doi.org/10.4028/www.scientific.net/amm.263-266.915.

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Aiming at the character of high bit error rate and energy constraints on WSN, this paper proposed an adaptive error control scheme based on link quality indicator(LQI). The PHY specification of IEEE802.15.4 provided accurate measurement of channel quality for WSN, according to the quantitative relationship between LQI and bit error rate, this paper divided the channel quality into eight levels non-uniformly, furthermore, eight different BCH code were chosen correspondingly. The motes choose optimal BCH code as its error correction scheme in real time. Experimental results show the scheme is high in energy efficiency, meanwhile, drops the error probability effectively.

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Sun, Yi, Min Li, and Peng Xu. "A Cross-Layer Congestion Control Algorithm Based on Traffic Prediction in Wireless Sensor Networks." Applied Mechanics and Materials 397-400 (September 2013): 2641–46. http://dx.doi.org/10.4028/www.scientific.net/amm.397-400.2641.

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Congestion in wireless sensor networks can affect the networks performance seriously,not only it has impact on data transmission and the quality of service, but also wastes energy and shortens the network lifetime. Aiming at this issue, this paper proposed a cross-layer congestion control algorithm based on traffic prediction (CCATP), it can take congestion mitigation measures in advance according to the prediction result. CCATP comprises three mechanisms: (i) congestion prediction; (ii) local congestion control mechanism based on backoff time adjustment; (iii) transmission route selection based global congestion control mechanism; Simulation experiment results show that CCATP can reduce the packet loss number and improve the energy efficiency significantly, so as to effectively improve the service performance of network.

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Ren, Yuan, Guangyue Lu, and Changyin Sun. "Joint Congestion Control and Resource Allocation in Cache-Enabled Sensor Networks." Sensors 19, no. 13 (July 5, 2019): 2961. http://dx.doi.org/10.3390/s19132961.

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In this paper, we investigate the optimal beamforming design to achieve joint congestion control and energy-efficient resource allocation in cache-enabled sensor networks. The network of interest works in the time-slotted mode. The dynamic buffering queue for each node is introduced to reflect the degree of network congestion and service delay. Then, a time-averaged sum rate maximization problem is proposed under the constraints of queue stability, instantaneous power consumption, average power consumption, and the minimum quality of service requirements. By introducing the method of Lyapunov optimization, the importance of buffering queue backlogs and sum rate maximization can be traded off, then the original queue-aware and time-averaged optimization problem is transformed into a weighted sum rate maximization problem at each time slot. It can be further converted into a second-order cone-programming problem by successive convex approximation, which is convex and can be efficiently solved by off-the-shelf solvers. Numerical results validate that wireless caching can greatly relieve the network congestion by reducing the buffering backlogs, and show that the proposed scheme can trade off the average queue length and time-averaged sum rate by selecting different control parameters.

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ZHOU, JUEJIA, and CHUNDI MU. "DENSITY DOMINATION OF QoS CONTROL IN WIRELESS SENSOR NETWORKS." International Journal of Information Acquisition 03, no. 04 (December 2006): 283–300. http://dx.doi.org/10.1142/s0219878906001039.

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Wireless sensor networks (WSN) are a kind of networks made of tiny sensing embedded devices with processors, memories and short-range wireless communication modules. They are planted for sensing the area which people mostly care about and to send data of light, pressure, sound, and so on, back to people to make further analyses. Differing from normal linear networks, WSN are usually restricted by energy store, plethoric information flow, and short communication distance. So, there are many research hotpots in WSN such as routing, economization of energy, adaptive self-configuration, etc. Among these aspects, the area of quality of service (QoS) remains largely open. This is due to that the optimal alive sensor nodes number is difficult to determine in a certain focused area which satisfies the requirement of QoS. In order to make an optimal number of nodes to power up in a focused area, the paper proposes the density domination strategy with location information and localized information based on the modified Gur Game which is embedded with gradient mechanism. In the strategies, the base station receives the QoS feedback and gives the dynamic density domination information. The simulation results about the two kinds of density domination strategies are given. The results show that both of the strategies can effectively control the density of power-up nodes and meet the requirement of QoS.

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Aslam, Muhammad, Fan Wang, Xiaopeng Hu, Muhammad Asad, and Ehsan Ullah Munir. "Multihopping Multilevel Clustering Heterogeneity-Sensitive Optimized Routing Protocol for Wireless Sensor Networks." Journal of Sensors 2017 (2017): 1–14. http://dx.doi.org/10.1155/2017/5378403.

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Effective utilization of energy resources in Wireless Sensor Networks (WSNs) has become challenging under uncertain distributed cluster-formation and single-hop intercluster communication capabilities. So, sensor nodes are forced to operate at expensive full rate transmission power level continuously during whole network operation. These challenging network environments experience unwanted phenomena of drastic energy consumption and packet drop. In this paper, we propose an adaptive immune Multihopping Multilevel Clustering (MHMLC) protocol that executes a Hybrid Clustering Algorithm (HCA) to perform optimal centralized selection of Cluster-Heads (CHs) within radius of centrally located Base Station (BS) and distributed CHs selection in the rest of network area. HCA of MHMLC also produces optimal intermediate CHs for intercluster multihop communications that develop heterogeneity-aware economical links. This hybrid cluster-formation facilitates the sensors to function at short range transmission power level that enhances link quality and avoids packet drop. The simulation environments produce fair comparison among proposed MHMLC and existing state-of-the-art routing protocols. Experimental results give significant evidence of better performance of the proposed model in terms of network lifetime, stability period, and data delivery ratio.

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Jin, Yong, Jian Cai, Huan Dai, Kaijian Xia, and Ping Xu. "Lightweight QoE Driven and Invulnerability Guarantee Opportunistic Control Scheme for Wireless Sensor Networks." International Journal of Online Engineering (iJOE) 12, no. 08 (August 30, 2016): 19. http://dx.doi.org/10.3991/ijoe.v12i08.5726.

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This paper proposed the lightweight QoE driven adaptive invulnerability wireless communication control method, including the wireless communication terminal equipment with invulnerability antenna. According to the quality of wireless network channel quality, the lightweight QoE driven scheme was developed. According to user needs, the quality of the network, survivable ability of wireless communication terminal and wireless communication survivability requirements, we proposed three matching rules by considering the wireless hop number, data size and life cycle. The experiments demonstrated that the proposed scheme can optimize wireless communication terminal equipment and wireless opportunistic communication network construction, guarantee the user experience quality and improve wireless communication network survivability.

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Singh, Seema, and T. V. Rama Murthy. "Neural Network-Based Sensor Fault Accommodation in Flight Control System." Journal of Intelligent Systems 22, no. 3 (September 1, 2013): 317–33. http://dx.doi.org/10.1515/jisys-2013-0032.

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AbstractThis article deals with detection and accommodation of sensor faults in longitudinal dynamics of an F8 aircraft model. Both the detection of the fault and reconfiguration of the failed sensor are done with the help of neural network-based models. Detection of a sensor fault is done with the help of knowledge-based neural network fault detection (KBNNFD). Apart from KBNNFD, another neural network model is developed in this article for the reconfiguration of the failed sensor. A model-based approach of the neural network (MBNN) is developed, which uses the radial basis function of the neural network. MBNN successfully does the task of providing analytical redundancy for the aircraft sensor. In this work, both detection and reconfiguration of a fault is done using neural networks. Hence, the control system becomes robust for handling sensor failures near steady state and reconfiguration is also faster. A generalized regression neural network (GRNN), which is a type of radial basis network, is used for MBNN, which gives very efficient results for function approximation. An F8 aircraft model and C-Star controller, which improves its handling quality, are used for validation of the method involved. Models of F8 aircraft, C-Star controller, KBNNFD, and MBNN were developed using MATLAB/Simulink. Successful implementation and simulation results are shown and discussed using Simulink.

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R, Karthik, Nagaraju J, and Mahendra Vucha. "Distributed Optimal Relay Selection in Wireless Sensor Networks." Indonesian Journal of Electrical Engineering and Computer Science 7, no. 1 (July 1, 2017): 71. http://dx.doi.org/10.11591/ijeecs.v7.i1.pp71-74.

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In wireless distributed sensor networks, one open problem is how to guarantee the reliable relay selection based on the quality of services diversity. To address this problem, we focus on the reliable adaptive relay selection approach and adaptive QoS supported algorithm, based on which we present a Markov chain model, in consideration of different packet states and error control algorithm assignment. The mathematical analyses and MATLAB simulation results show that the proposed relay selection approach could perform better in terms of saturation throughput, reliability, and energy efficiency, compared with the traditional approaches. More importantly, the quality of real-time multimedia streaming is improved significantly, in terms of decodable frame ratio and delay.

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Wu, Hua Rui, and Li Zhu. "A Wireless Sensor Networks Monitoring Device Based on ZigBee." Applied Mechanics and Materials 513-517 (February 2014): 2077–81. http://dx.doi.org/10.4028/www.scientific.net/amm.513-517.2077.

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environmental monitoring should have real-time, reliability and sustainability,the article design a device which can meet the request of environmental monitoring. the wireless sensor networks device based on ZigBee is described in detailed, meanwhile, a new routing strategy based on LEACH algorithm is proposed,implement of the strategy is described in the thesis.The new routing strategy is suitable for the long time monitoring, and realized the establishment of network cluster head nodes, broadcasting, selection and scheduling. According to the distance and energy consumption of nodes make a decision that the node joining a cluster or as a separate node directly communicate with the control node.The simulation results show that the device can real-time collection and remote transmission environmental temperature, humidity and other information, reduce energy consumption of data transmission, Prolong the network life-time, improve the network quality, and ensure the wireless sensor networks stable wrok,realize the network optimization.

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Abbasov, Е. М. "Indicators of wireless technologies for monitoring the quality and management." Informacionno-technologicheskij vestnik 11, no. 1 (March 30, 2017): 14–24. http://dx.doi.org/10.21499/2409-1650-2017-1-14-24.

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The problems of integration of the various wireless technologies, for-consists in the provision of required transmission speed and the transmission of information over a considerable distance at low power sensor nodes transmitters wireless Internet-water network for remote monitoring. Analyzed the integration of wireless LAN standard IEEE 802.11n/g and Bluetooth. Determined Graphic analytical dependence-dence, the defining characteristics of the data rate for wireless IEEE 802.11n / g networks. It analyzes the main shortcomings of BSS associated with ef cient use of batteries; the basic Metody reduce energy consumption for WSN based on the ZigBee technology, based on the planning schemes of awakening and data collection schemes. The possibilities MeshLogic technology solutions for the monitoring and control tasks that are critical to BPE-autonomous work Meni sensors.

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Wen, Jianjun, and Waltenegus Dargie. "Characterization of Link Quality Fluctuation in Mobile Wireless Sensor Networks." ACM Transactions on Cyber-Physical Systems 5, no. 3 (July 2021): 1–24. http://dx.doi.org/10.1145/3448737.

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Wireless sensor networks accommodating the mobility of nodes will play important roles in the future. In residential, rehabilitation, and clinical settings, sensor nodes can be attached to the body of a patient for long-term and uninterrupted monitoring of vital biomedical signals. Likewise, in industrial settings, workers as well as mobile robots can carry sensor nodes to augment their perception and to seamlessly interact with their environments. Nevertheless, such applications require reliable communications as well as high throughput. Considering the primary design goals of the sensing platforms (low-power, affordable cost, large-scale deployment, longevity, operating in the ISM band), maintaining reliable links is a formidable challenge. This challenge can partially be alleviated if the nature of link quality fluctuation can be known or estimated on time. Indeed, higher-level protocols such as handover and routing protocols rely on knowledge of link quality fluctuation to seamlessly transfer communication to alternative routes when the quality of existing routes deteriorates. In this article, we present the result of extensive experimental study to characterise link quality fluctuation in mobile environments. The study focuses on slow movements (<5 km h -1 ) signifying the movement of people and robots and transceivers complying to the IEEE 802.15.4 specification. Hence, we deployed mobile robots that interact with strategically placed stationary relay nodes. Our study considered different types of link quality characterisation metrics that provide complementary and useful insights. To demonstrate the usefulness of our experiments and observations, we implemented a link quality estimation technique using a Kalman Filter. To set up the model, we employed two link quality metrics along with the statistics we established during our experiments. The article will compare the performance of four proposed approaches with ours.

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Hong, Zhen, Xiaoman Pan, Ping Chen, Xianchuang Su, Ning Wang, and Wenqi Lu. "A Topology Control with Energy Balance in Underwater Wireless Sensor Networks for IoT-Based Application." Sensors 18, no. 7 (July 16, 2018): 2306. http://dx.doi.org/10.3390/s18072306.

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As part of the IoT-based application, underwater wireless sensor networks (UWSN), which are typically self-organized heterogeneous wireless network, are one of the research hot-spots using various sensors in marine exploration and water environment monitoring application fields, recently. Due to the serious attenuation of radio in water, acoustic or hybrid communication is a usual way for transmitting information among nodes, which dissipates much more energy to prevent the network failure and guarantee the quality of service (QoS). To address this issue, a topology control with energy balance, namely TCEB, is proposed for UWSN to overcome time-delay and other interference, as well as make the entire network load balance. With the given underwater network model and its specialized energy consumption model, we introduce the non-cooperative-game-based scheme to select the nodes with better performance as the cluster-heads. Afterwards, the intra-cluster and inter-cluster topology construction are, respectively, to form the effective communication links of the intra-cluster and inter-cluster, which aim to build energy-efficient topology to reduce energy consumption. With the demonstration of the simulation, the results show the proposed TCEB has better performance on energy-efficiency and throughput than three other representative algorithms in complex underwater environments.

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Long, Jun, An He, Anfeng Liu, and Xue Chen. "Adaptive Sensing with Reliable Guarantee under White Gaussian Noise Channels of Sensor Networks." Journal of Sensors 2015 (2015): 1–21. http://dx.doi.org/10.1155/2015/532045.

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Quality of sensing is a fundamental research topic in sensor networks. In this paper, we propose an adaptive sensing technique to guarantee the end-to-end reliability while maximizing the lifetime of sensor networks under additive white Gaussian noise channels. First, we conduct theoretical analysis to obtain optimal node numberN∗, node placementd∗, and node transmission structureP∗under minimum total energy consumption and minimum unit data transmission energy consumption. Then, because sensor nodes closer to the sink consume more energy, nodes far from the sink have more residual energy. Based on this observation, we propose an adaptive sensing technique to achieve balanced network energy consumption. It adopts lower reliability requirement and shorter transmission distance for nodes near the sink and adopts higher reliability requirement and farther transmission distance for nodes far from the sink. Theoretical analysis and experimental results show that our design can improve the network lifetime by several times (1–5 times) and network utility by 20% and the desired reliability level is also guaranteed.

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Bhar, Jamila, and Imen Bouazzi. "Elastic hybrid MAC protocol for wireless sensor networks." International Journal of Electrical and Computer Engineering (IJECE) 11, no. 5 (October 1, 2021): 4174. http://dx.doi.org/10.11591/ijece.v11i5.pp4174-4182.

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The future is moving towards offering multiples services based on the same technology. Then, billions of sensors will be needed to satisfy the diversity of these services. Such considerable amount of connected devices must insure efficient data transmission for diverse applications. Wireless sensor network (WSN) represents the most preferred technology for the majority of applications. Researches in medium access control (MAC) mechanism have been of significant impact to the application growth because the MAC layer plays a major role in resource allocation in WSNs. We propose to enhance a MAC protocol of WSN to overcome traffic changes constraints. To achieve focused goal, we use elastic hybrid MAC scheme. The main interest of the developed MAC protocol is to design a medium access scheme that respect different quality of services (QoS) parameters needed by various established traffic. Simulation results show good improvement in measured parameters compared to typical protocol.

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Dr. Soundara Rajan, Pradeep K. G. M. ,. Dr S. VENKATESAN,. "A NEURAL NETWORK BASED SMART BUILDING MONITORING SYSTEM USING WIRELESS SENSOR NETWORK." INFORMATION TECHNOLOGY IN INDUSTRY 9, no. 1 (February 28, 2021): 232–39. http://dx.doi.org/10.17762/itii.v9i1.123.

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A Smart building monitoring System uses Sensors like temperature Sensor, humidity sensor, motion / occupancy Sensor, contact sensor, Gas/air quality Sensor, Strain Sensor, electrical current monitoring Sensor etc for monitoring an environmental factors and to control devices such as air conditioner, ventilator, alarm, Security grand system etc using sensor information. Our proposed system uses effective neural network to gather information from different Sensor and consolidate it by Information Isolation Node (IIN) and send to sink node The Sink node sends information. to cloud where remote monitoring is done and it also receives Control information from cloud and operates different equipments of building. For efficient implementation only needed information are sent to cloud and necessary action are taken by remote system based on consolidated information sent by Information Isolation Node (IN) through Sink node The Sink node sends information to cloud where remote monitoring is done and it also receives Control information from cloud and operates different equipments of building.

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Ruíz Martínez, William, Yesid Díaz-Gutiérrez, Roberto Ferro-Escobar, and Luis Pallares. "Application of the Internet of Things through a Network of Wireless Sensors in a Coffee Crop for Monitoring and Control its Environmental Variables." TecnoLógicas 22, no. 46 (September 20, 2019): 155–70. http://dx.doi.org/10.22430/22565337.1485.

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This article presents the application of the Internet of things (IoT), as a technological tool for the development of a wireless sensor network with the aim of monitoring and controlling a series of environmental variables affecting the cultivation of coffee and its final quality. The logical and physical design of the network and its devices was carried out, the sensors network was configured in a given field and the information of certain environmental variables was collected to be compared with a series of parameters already established. This procedure will allow the coffee growers to observe the behavior of these variables over time and set the generation of alerts or warnings when these measures are outside the established ranges. The study determined that the management of coffee cultivation is quite complex due to the large number of varieties found, the terrain and environmental variables affecting the production process and the final quality of the grain. It was also determined that the development and implementation of wireless sensor networks is possible today due to factors such as the reduction of device costs and the use of open source software, avoiding additional licensing values. Finally, based on the parameters analyzed, it was possible to establish that one of the main problems in coffee crops is the intense humidity that, in practice, can affect the performance of the sensors and their measurements.

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Brahim, Mohammed Taieb, Houda Abbad, and Sofiane Boukil-Hacene. "A Low Energy MCL-Based Clustering Routing Protocol for Wireless Sensor Networks." International Journal of Wireless Networks and Broadband Technologies 10, no. 1 (January 2021): 70–95. http://dx.doi.org/10.4018/ijwnbt.2021010105.

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Wireless sensor networks (WSNs) have attracted increasing attention during the two last decades. Indeed, their applications target a wide range of fields such as healthcare, industrial control, environmental monitoring, etc. The main challenge of WSNs is the limitation of resources requiring efficient management of energy consumption. Coverage is also considered as one of the critical indicators of the quality of service (QoS) of WSNs. Therefore, the design of routing protocols should focus on energy efficiency and network coverage. In this paper, the authors propose a novel energy-efficient clustering protocol that is more efficient than some prominent routing protocols and offers better coverage of the network than LEACH. The protocol combines the MCL algorithm for cluster formation and a new cluster head selection strategy based on location and residual energy of sensors. Simulation results demonstrate that the proposed protocol is better than other protocols in terms of energy management and extending the lifetime of the network, whereas, it achieves good coverage than LEACH.

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Sun, Zeyu, Chuanfeng Li, Xiaofei Xing, and Huihui Wang. "A New Energy-Efficient Coverage Control with Multinodes Redundancy Verification in Wireless Sensor Networks." Journal of Sensors 2016 (2016): 1–11. http://dx.doi.org/10.1155/2016/2347267.

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The target nodes are k-covered by the sensor nodes; there will be a lot of redundant data forcing the phenomenon of congestion which lowers the network communication capability and coverage and accelerates network energy consumption. Therefore, this paper proposes an energy-efficient coverage control with multinodes redundancy verification (ECMRV). The algorithm constructs the coverage network model by using the positional relationship among the sensor nodes, and the proof procedure of the sector coverage expected value of the monitoring area also has been provided. On the aspect of the energy consumption, this paper gives the proportion of energy conversion functions between the working sensor nodes and the neighboring sensor nodes. And by using the function proportional to schedule the sensor nodes with low energy, we achieve the energy balance of the whole network and the optimization of the network resources. Finally, the simulation experiments indicate that this algorithm can not only improve the quality of network coverage, but completely inhibit the rapid energy consumption of the sensor nodes as well; as a result, the network lifetime extends, which has verified availability and stability of the algorithm in the paper.

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Fuentes-Pérez, Juan Francisco, and Francisco Javier Sanz-Ronda. "A Custom Sensor Network for Autonomous Water Quality Assessment in Fish Farms." Electronics 10, no. 18 (September 7, 2021): 2192. http://dx.doi.org/10.3390/electronics10182192.

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The control of water quality is crucial to ensure the survival of fish in aquaculture production facilities. Today, the combination of sensors with communication technologies permits to monitor these crucial parameters in real-time, allowing to take fast management decisions. However, out-of-the-box solutions are expensive, due to the small market and the industrial nature of sensors, besides being little customizable. To solve this, the present work describes a low-cost hardware and software architecture developed to achieve the autonomous water quality assessment and management on a remote facility for fish conservation aquaculture within the framework of the Smart Comunidad Rural Digital (smartCRD) project. The developed sensor network has been working uninterruptedly since its installation (20 April 2021). It is based on open source technology and includes a central gateway for on-site data monitoring of water quality nodes as well as an online management platform for data visualization and sensor network configuration. Likewise, the system can detect autonomously water quality parameters outside configurable thresholds and deliver management alarms. The described architecture, besides low-cost, is highly customizable, compatible with other sensor network projects, machine-learning applications, and is capable of edge computing. Thus, it contributes to making open sensorization more accessible to real-world applications.

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Mitra, Pramita, Mehdi Golestanian, and Christian Poellabauer. "Quality of Service Specifications in Small-Scale Proximity-Aware Mobile Sensor Sharing Frameworks." Mobile Information Systems 2016 (2016): 1–19. http://dx.doi.org/10.1155/2016/8186310.

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Proximity-awareness, that is, a mobile device being aware of the presence and capabilities of other devices in its proximity, can be beneficial in many frameworks that support spontaneous sharing of sensors available in advanced personal mobile devices (e.g., smartphones and tablets). Providing Quality of Service (QoS) guarantees in such frameworks is highly challenging because of the dynamic and loosely coupled nature of Mobile Ad Hoc Networks (MANETs). A framework called the SPontaneous Information and Resource sharing InfrasTructure (SPIRIT) has been presented before to address the challenges of proximity-aware mobile sensor sharing. SPIRIT allows mobile applications to share sensors as services in an automatic fashion by enabling the service providers and clients to express a variety of QoS specifications. This paper presents a set of mobility-aware QoS mechanisms for enabling the implementation of QoS specifications along the multihop paths between service providers and clients in highly mobile environments. Simulations in small-scale Mobile Ad Hoc Networks show SPIRIT’s ability to effectively control and manage traffic flows while maintaining desired QoS. The implications of the proposed QoS mechanisms extend beyond the scope of SPIRIT, as QoS provisioning is an important issue in many MANET frameworks and applications including Vehicular Ad Hoc Networks (VANETs).

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Journal articles on the topic 'Sensor networks – Quality control'

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