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Journal articles on the topic 'Smart Sensor Network'

Author: Grafiati

Published: 4 June 2025

Last updated: 1 August 2025

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1

Almogren, Ahmad S. "Developing a Powerful and Resilient Smart Body Sensor Network through Hypercube Interconnection." International Journal of Distributed Sensor Networks 2015 (2015): 1–8. http://dx.doi.org/10.1155/2015/609715.

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With recent advances in wireless sensor networks and embedded computing technologies, body sensor networks (BSNs) have become practically feasible. BSNs consist of a number of sensor nodes located and deployed over the human body. These sensors continuously gather vital sign data of the body area to be used in various intelligent systems in smart environments. This paper presents an intelligent design of the body sensor network based on virtual hypercube structure backbone termed as Smart BodyNet. The main purpose of the Smart BodyNet is to provide resilience for the BSN operation and reduce p

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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 (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 thr

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Alonso, Monica, Hortensia Amaris, Daniel Alcala, and Diana M. Florez R. "Smart Sensors for Smart Grid Reliability." Sensors 20, no. 8 (2020): 2187. http://dx.doi.org/10.3390/s20082187.

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Sensors for monitoring electrical parameters over an entire electricity network infrastructure play a fundamental role in protecting smart grids and improving the network’s energy efficiency. When a short circuit takes place in a smart grid it has to be sensed as soon as possible to reduce its fault duration along the network and to reduce damage to the electricity infrastructure as well as personal injuries. Existing protection devices, which are used to sense the fault, range from classic analog electro-mechanics relays to modern intelligent electronic devices (IEDs). However, both types of

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Cheung, Long Fung, King Shan Lui, Kenneth Kin Yip Wong, Wing Kin Lee, and Philip W. T. Pong. "A Laboratory-Based Smart Grid Sensor Network Testbed." Applied Mechanics and Materials 479-480 (December 2013): 747–52. http://dx.doi.org/10.4028/www.scientific.net/amm.479-480.747.

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A laboratory-based sensor network testbed for Smart Grid was developed at the Smart Grid and High Power System Laboratory of The University of Hong Kong. The setup is featured by a scaled transmission-line model, visualization of sensor measurement, optical communication network, and integration with global positioning system (GPS). The transmission-line model consists of a power cable and towers in which various types of sensors including magnetic sensors, infrared sensors, strain gauges, and accelerometers are installed to monitor the condition of the transmission line and the transmission t

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Kamal, Sahar, Rabie Ramadan, and Fawzy El-Refai. "Smart outlier detection of wireless sensor network." Facta universitatis - series: Electronics and Energetics 29, no. 3 (2016): 383–93. http://dx.doi.org/10.2298/fuee1603383k.

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Data sets collected from wireless sensor networks (WSN) are usually considered unreliable and subject to errors due to limited sensor capabilities and hard environment resulting in a subset of the sensors data called outlier data. This paper proposes a technique to detect outlier data base on spatial-temporal similarity among data collected by geographically distributed sensors. The proposed technique is able to identify an abnormal subset of data collected by sensor node as outlier data. Moreover, the proposed technique is able to classify this abnormal observation, an error data set or event

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Himani, Rawat, and Pathak Yugal. "Smart Sensors: Analyzing Efficiency of Smart Sensors in Public Domain." International Journal of Engineering and Management Research 9, no. 5 (2019): 104–11. https://doi.org/10.31033/ijemr.9.5.15.

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The paper gives the brief idea of smart sensors, structure and its application. Smart sensor as compare to other sensors can sensor anything with the special computing devices connected with each other in sensor network. These smart sensors first convert the digital signals to analog signals and then communicate the message to the device. Now a days smart sensors are used almost everywhere around us but very few people know its working and future applications. So here is a small review on smart sensors. This paper will help you gain knowledge and its applications in daily life.

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Tuyishimire, Emmanuel, Antoine Bagula, and Adiel Ismail. "Clustered Data Muling in the Internet of Things in Motion." Sensors 19, no. 3 (2019): 484. http://dx.doi.org/10.3390/s19030484.

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This paper considers a case where an Unmanned Aerial Vehicle (UAV) is used to monitor an area of interest. The UAV is assisted by a Sensor Network (SN), which is deployed in the area such as a smart city or smart village. The area being monitored has a reasonable size and hence may contain many sensors for efficient and accurate data collection. In this case, it would be expensive for one UAV to visit all the sensors; hence the need to partition the ground network into an optimum number of clusters with the objective of having the UAV visit only cluster heads (fewer sensors). In such a setting

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Shukur, Marwan Ihsan. "S-CDCA: a semi-cluster directive-congestion protocol for priority-based data in WSNs." Indonesian Journal of Electrical Engineering and Computer Science 23, no. 1 (2021): 438. http://dx.doi.org/10.11591/ijeecs.v23.i1.pp438-444.

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The internet of things (IoT) protocols and regulations are being developed forvarious applications includes: habitat monitoring, machinery control, general health-care, smart-homes and more. A great part of I0T comprised of sensors nodes in connected networks (i.e. sensor networks.). A sensor network is a group of nodes with sensory module and computational elements connected through network interfaces. The most interesting type of sensor networks are wireless sensor networks. The nodes here are connected through wirless interfaces. The shared medium between these nodes, creates different chal

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Lewandowski, Marcin, and Bartłomiej Płaczek. "An Event-Aware Cluster-Head Rotation Algorithm for Extending Lifetime of Wireless Sensor Network with Smart Nodes." Sensors 19, no. 19 (2019): 4060. http://dx.doi.org/10.3390/s19194060.

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Smart sensor nodes can process data collected from sensors, make decisions, and recognize relevant events based on the sensed information before sharing it with other nodes. In wireless sensor networks, the smart sensor nodes are usually grouped in clusters for effective cooperation. One sensor node in each cluster must act as a cluster head. The cluster head depletes its energy resources faster than the other nodes. Thus, the cluster-head role must be periodically reassigned (rotated) to different sensor nodes to achieve a long lifetime of wireless sensor network. This paper introduces a meth

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Lieske, Tobias, Denis Shuklin, Daniel Hohnloser, et al. "Smart Sensor Framework: A Pressure Sensor for Smart Home Applications." Advanced Engineering Forum 19 (October 2016): 92–106. http://dx.doi.org/10.4028/www.scientific.net/aef.19.92.

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Smart home automation applications require a dense information network for proper func-tionality. Air-conditioning or filtration systems, for example, must detect airflows caused by openwindows and doors. An unambiguous detection of such airflows can be performed by a distributedsensor network. Current off-the-shelf sensors often lack processing and communication units, resulting in a large design assembly of discrete integrated circuits (ICs) on one printed circuit board (PCB)that requires additional power supply. Distributing such designs within a home without interferingwith the existing su

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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 (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 mo

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Journal, IJSREM. "WIRELESS SENSOR NETWORK IN SMART AGRICULTURE." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 01 (2024): 1–10. http://dx.doi.org/10.55041/ijsrem28324.

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This paper offers a comprehensive overview of wireless sensor networks (WSNs) in smart agriculture, emphasizing their significance in leveraging technological advancements. It explores the role of sensors in agriculture, the WSN technology, and applications across various agricultural aspects. Communication protocols like Zigbee, Wi-Fi, and LoRaWAN are discussed for seamless data transmission within smart agriculture systems. The paper concludes by outlining future trends, showcasing WSNs' potential for fostering sustainable and efficient farming practices.

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13

Shukur, Marwan Ihsan. "S-CDCA: a semi-cluster directive-congestion protocol for priority-based data in WSNs." Indonesian Journal of Electrical Engineering and Computer Science 23, no. 1 (2021): 438–44. https://doi.org/10.11591/ijeecs.v23.i1.pp438-444.

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The internet of things (IoT) protocols and regulations are being developed for various applications includes: habitat monitoring, machinery control, general health-care, smart-homes and more. A great part of I0T comprised of sensors nodes in connected networks (i.e. sensor networks.). A sensor network is a group of nodes with sensory module and computational elements connected through network interfaces. The most interesting type of sensor networks are wireless sensor networks. The nodes here are connected through wirless interfaces. The shared medium between these nodes, creates different cha

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14

Zhang, Yi Ying, Hui Li, De Quan Gao, and Jin Ping Cao. "The Applications of Sensor Network for Smart Substation." Advanced Materials Research 712-715 (June 2013): 1872–75. http://dx.doi.org/10.4028/www.scientific.net/amr.712-715.1872.

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With the development of internet of things (IoT), various of sensors play important roles in applications, especially in smart grid. The electrical substations usually deploy many sesors to sense the environment or control power facilities etc., such as temperature and humidity sensor, SF6sensor etc, to organize as a wireless sensor network (WSN) to cooperate for intelligent operation. In this paper, we deploy some special sensors in the substation and design a hierarchical architecture of WSN for information collection. According to the observation and operation result, the wireless sensor ne

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15

Van, Tung Le, Phuc Nguyen Thi, Phung Vo Minh, Le Do Thi, Huynh Le Cong, and Tra Nguyen Thi Phuong. "Design and Implementation of a Wireless Sensor Network for Smart Greenhouse Controller." CommIT (Communication and Information Technology) Journal 16, no. 1 (2022): 1–8. http://dx.doi.org/10.21512/commit.v16i1.7288.

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Sensors play an essential role in gathering environmental information for greenhouse farming. Wireless sensor network creates and manages links between sensor blocks in the system. As a result, not only various environmental parameters can be collected, but the sensor location can also be flexibly deployed. Sensor blocks require low energy consumption and inexpensive implementation costs with typical operating conditions. The research has built a wireless sensor network based on open Radio Frequency (RF) technology. Each sensor block has a low deployment cost and operates independently via a s

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Huang, Chunxin, Yan Yao, and Lina Wei. "Sensor Network Solutions for Aircraft Route Scheduling and Parking Allocation with Localization and Synchronization." Scalable Computing: Practice and Experience 25, no. 1 (2024): 1–10. http://dx.doi.org/10.12694/scpe.v25i1.2391.

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The Wireless Sensor Network (WSN) is the modernized version of the sensor networking, earlier the concerned networking system used to be wired. The wireless and modified features have been able to increase the efficiencies of the networking in routing scheduling of aircraft and allocating the parking. This new approach to the WSN system is not much different from the typical sensor networks framework that contains sensors, a communication system, and a controller. Instead of a communication system, a wireless protocol is applied within the sensor network. The smart system of parking has effect

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Bae, Jangsik, Meonghun Lee, and Changsun Shin. "A Data-Based Fault-Detection Model for Wireless Sensor Networks." Sustainability 11, no. 21 (2019): 6171. http://dx.doi.org/10.3390/su11216171.

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With the expansion of smart agriculture, wireless sensor networks are being increasingly applied. These networks collect environmental information, such as temperature, humidity, and CO2 rates. However, if a faulty sensor node operates continuously in the network, unnecessary data transmission adversely impacts the network. Accordingly, a data-based fault-detection algorithm was implemented in this study to analyze data of sensor nodes and determine faults, to prevent the corresponding nodes from transmitting data; thus, minimizing damage to the network. A cloud-based “farm as a service” optim

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18

Akter, Syeda, and Lawrence Holder. "Improving IoT Predictions through the Identification of Graphical Features." Sensors 19, no. 15 (2019): 3250. http://dx.doi.org/10.3390/s19153250.

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IoT sensor networks have an inherent graph structure that can be used to extract graphical features for improving performance in a variety of prediction tasks. We propose a framework that represents IoT sensor network data as a graph, extracts graphical features, and applies feature selection methods to identify the most useful features that are to be used by a classifier for prediction tasks. We show that a set of generic graph-based features can improve performance of sensor network predictions without the need for application-specific and task-specific feature engineering. We apply this app

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Toliupa, Sergey, Yuriy Kravchenko, and Aleksander Trush. "ORGANIZATION OF IMPLEMENTATION OF UBIQUITOUS SENSOR NETWORKS." Informatics Control Measurement in Economy and Environment Protection 8, no. 1 (2018): 36–39. http://dx.doi.org/10.5604/01.3001.0010.8643.

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The article deals with the implementation of one of the most promising technologies of the 21st century – the permeable sensor networks of the USN. The features, architecture, organization and routing algorithms of sensory networks are described. It is determined that further improvement of the work of such networks requires standardization of the development process and implementation process. USN's Vertical Sensor Networks is one of the most promising technologies of the 21st century. Cheap and "smart" sensors, in large quantities combined into a wireless network connected to the public comm

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Song, Zhilong, and Zhiyong Fan. "Wireless Self-Powered High-Performance Integrated Nanostructured-Gas-Sensor Network for Future Smart Homes." ECS Meeting Abstracts MA2022-02, no. 36 (2022): 1322. http://dx.doi.org/10.1149/ma2022-02361322mtgabs.

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The accelerated evolution of communication platforms including Internet of Things (IoT) and the 5th generation (5G) wireless communication network makes it possible to build intelligent gas sensor networks to monitor the chemical safety of our surroundings and personal health in real time. However, this application scenario requires a very challenging combination of characteristics of gas sensors including small formfactor, low-cost, ultra-low power consumption, superior sensitivity, and high intelligence. Herein, we demonstrate self-powered integrated nanostructured-gas-sensor (SINGOR) system

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Fan, Fei, Qiaoling Ji, Gongping Wu, Man Wang, Xuhui Ye, and Quanjie Mei. "Dynamic Barrier Coverage in a Wireless Sensor Network for Smart Grids." Sensors 19, no. 1 (2018): 41. http://dx.doi.org/10.3390/s19010041.

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The development of engineering technology such as inspection robots (IR) for transmission lines and wireless sensor networks (WSN) are widely used in the field of smart grid monitoring. However, how to integrate inspection robots into wireless sensor networks is still a great challenge to form an efficient dynamic monitoring network for transmission lines. To address this problem, a dynamic barrier coverage (DBC) method combining inspection robot and wireless sensor network (WSN) is proposed to realize a low-cost, energy-saving and dynamic smart grid-oriented sensing system based on mobile wir

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Mehetre, Rahul. "Smart Agriculture Monitoring System." International Journal for Research in Applied Science and Engineering Technology 11, no. 6 (2023): 604–8. http://dx.doi.org/10.22214/ijraset.2023.53655.

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Abstract: In this morden industry remote monitoring and controlling equipment at farm from a long distance is challenging now a days. At present we are able to control the equipment with the help of smartphones using IOT. This paper presents a novel of smart agriculture system using ATmega328P with global connection using Internet of Things (IOT). Internet of Thing (IOT) plays a important role in smart agriculture system. Smart agriculture helps to reduce the farmers work. It works automatically or farmer can operate it from anywhere. Smart agriculture monitoring system used wireless sensor ne

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Naseer, Salman, William Liu, Nurul I. Sarkar, Muhammad Shafiq, and Jin-Ghoo Choi. "Smart City Taxi Trajectory Coverage and Capacity Evaluation Model for Vehicular Sensor Networks." Sustainability 13, no. 19 (2021): 10907. http://dx.doi.org/10.3390/su131910907.

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In a smart city, a large number of smart sensors are operating and creating a large amount of data for a large number of applications. Collecting data from these sensors poses some challenges, such as the connectivity of the sensors to the data center through the communication network, which in turn requires expensive infrastructure. The delay-tolerant networks are of interest to connect smart sensors at a large scale with their data centers through the smart vehicles (e.g., transport fleets or taxi cabs) due to a number of virtues such as data offloading, operations, and communication on asym

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Carvajal-Gámez, Blanca Esther, Uriel Cedeño-Antunez, and Abigail Elizabeth Pallares-Calvo. "Smart Underwater Sensor Network GPRS Architecture for Marine Environments." Sensors 25, no. 11 (2025): 3439. https://doi.org/10.3390/s25113439.

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The rise of the Internet of Things (IoT) has made it possible to explore different types of communication, such as underwater IoT (UIoT). This new paradigm allows the interconnection of ships, boats, coasts, objects in the sea, cameras, and animals that require constant monitoring. The use of sensors for environmental monitoring, tracking marine fauna and flora, and monitoring the health of aquifers requires the integration of heterogeneous technologies as well as wireless communication technologies. Aquatic mobile sensor nodes face various limitations, such as bandwidth, propagation distance,

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Li, Yang, Yi Ying Zhang, De Quan Gao, and Jin Ping Cao. "The Applications of Wireless Sensor Network in Smart Substation." Advanced Materials Research 614-615 (December 2012): 1881–84. http://dx.doi.org/10.4028/www.scientific.net/amr.614-615.1881.

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The electrical substation consists of many smart devices to monitor operating environment or control power facilities etc., which requires various sensors, such as temperature and humidity sensor, SF6 sensor etc, to organize as a wireless sensor network (WSN) to cooperate for intelligent operation. In this paper, we design an architecture of WSN for the smart substation, and introduce the applications in detail, including the temperature, humidity, waterlogging, SF6 gas and leakage current and 3D holographic visualization. The operation shows our solution can effectively sense the environmenta

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Kim, Seung Jae, and Meong Hun Lee. "Design and Implementation of a Malfunction Detection System for Livestock Ventilation Devices in Smart Poultry Farms." Agriculture 12, no. 12 (2022): 2150. http://dx.doi.org/10.3390/agriculture12122150.

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Smart livestock farming aims to improve the productivity of livestock through the provision of optimal housing, and it is developed using various sensors and actuators. Ventilation systems play a crucial role in smart livestock farming, including disease prevention and the processing of pollutants (ammonia and hydrogen sulfide) that are severely detrimental to livestock growth. Malfunctions in animal housing ventilation systems lead to mass mortality events. To address such issues, this study reports the design and implementation for a smart detection system for malfunctions in the ventilation

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Wang, Xinhong. "Segmented sensor blockchain based on state and block compression." Journal of Physics: Conference Series 2525, no. 1 (2023): 012003. http://dx.doi.org/10.1088/1742-6596/2525/1/012003.

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Abstract In the sensor blockchain network, sensors need to collect data continuously and upload it to the blockchain network for verification of data integrity. The deployment of smart contracts on the chain can be used to authenticate data visitors. Historical data is valuable for data visitors, but it is useless for sensor nodes that can continue to link data only with current information. With the passage of time, the data of the sensor blockchain network will continue to grow. A node data storage mode that can adapt to the continuous expansion of the blockchain scale is needed, which can e

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Zhao, Ying, Ru Kun Li, and Kun Le Xu. "The Design of Wireless Sensor Networks and Data Analysis in Smart Grids." Advanced Materials Research 978 (June 2014): 257–60. http://dx.doi.org/10.4028/www.scientific.net/amr.978.257.

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Smart grids have a close relationship to advanced sensing technology and communication technology and also have provided a new application platform for wireless sensor networks. From wireless sensor networks research development and characteristics, combined with current status of wireless sensor networks applications in power system, this paper describes its key technologies of wireless sensor networks, then analyze applications and data analysis of the wireless sensor network in the smart grids.

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Hameed, Bilal Hashim, Anmar Yahya Taher, Raed Khalid Ibrahim, Adnan Hussein Ali, and Yasser Adnan Hussein. "Based on mesh sensor network: design and implementation of security monitoring system with Bluetooth technology." Indonesian Journal of Electrical Engineering and Computer Science 26, no. 3 (2022): 1781–90. https://doi.org/10.11591/ijeecs.v26.i3.pp1781-1790.

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One of the most critical aspects to consider in wireless sensor networks is security, particularly in internet of things (IoT) implementations. Sensor network applications had risen in the past 5 years since these networks have been used in various parts of life (smart residential and commercial buildings, medical, and agriculture). In this study, we provide a novel network of sensors based on the Bluetooth network that may be used to protect commercial buildings. The Bluetooth type HC 06 was chosen since it has a low energy consumption and a communication range of 100 meters. Such security ne

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Nourildean, Shayma Wail, Mustafa Dhia Hassib, and Yousra Abd Mohammed. "Internet of things based wireless sensor network: a review." Indonesian Journal of Electrical Engineering and Computer Science 27, no. 1 (2022): 246. http://dx.doi.org/10.11591/ijeecs.v27.i1.pp246-261.

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Recently, Internet of Things (IoT) technologies are developing technology with a variety of applications. The Internet of Things (IoTs) is defined as a network of ordinary objects such as Internet TVs, smartphones, actuators and sensors that are smartly connected together to enable new types of communication between people and things as well as between things themselves. Wireless sensor networks (WSNs) play an important part in Internet of Things (IoT) technology. A contribution to wireless sensor networks and IoT applications is wireless sensor nodes’ construction with high-speed CPUs and low

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Chen, Chang Wen, and Yu Wang. "Chain-Type Wireless Sensor Network for Monitoring Long Range Infrastructures: Architecture and Protocols." International Journal of Distributed Sensor Networks 4, no. 4 (2008): 287–314. http://dx.doi.org/10.1080/15501320701260261.

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We present in this paper an investigation of a special class of wireless sensor networks for monitoring critical infrastructures that may extend for hundreds of miles in distances. Such networks are fundamentally different from traditional sensor networks in that the sensor nodes in this class of networks are deployed along narrowly elongated geographical areas and form a chain-type topology. Based on careful analysis of existing sensor network architectures, we first demonstrate the need to develop new architecture and networking protocols to match the unique topology of chain-type sensor net

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Alsina-Pagès, Rosa Ma, Patrizia Bellucci, and Giovanni Zambon. "Smart Wireless Acoustic Sensor Network Design for Noise Monitoring in Smart Cities." Sensors 20, no. 17 (2020): 4765. http://dx.doi.org/10.3390/s20174765.

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This Special Issue is focused on all the technologies necessary for the development of an efficient wireless acoustic sensor network, from the first stages of its design to the tests conducted during deployment; its final performance; and possible subsequent implications for authorities in terms of the definition of policies. This Special Issue collects the contributions of several LIFE and H2020 projects aimed at the design and implementation of intelligent acoustic sensor networks, with a focus on the publication of good practices for the design and deployment of intelligent networks in any

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Gunawan, Teddy Surya, Intan Rahmithul Husna Yaldi, Mira Kartiwi, et al. "Prototype Design of Smart Home System using Internet of Things." Indonesian Journal of Electrical Engineering and Computer Science 7, no. 1 (2017): 107. http://dx.doi.org/10.11591/ijeecs.v7.i1.pp107-115.

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<span lang="EN-AU">Smart home control system can be integrated into an existing home appliances to reduce the need for human intervention, increase security and energy efficiency. However, it is still an open problem due to difficulties such as network distance, signal interference, not user friendly, increased cost and power consumption. This paper reviews various topics on smart home technologies including control system, smart home network, smart home appliance and sensor technologies for smart home. In this research, the proposed prototype of home automation allows users to remotely

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Asrorbek, Eraliev, and Salomov Uktam. "Energy Efficient Wireless Sensor and Actuator Networks for Agricultural Monitoring and Irrigation Control Systems: A Review." European Journal of Advances in Engineering and Technology 9, no. 12 (2022): 40–45. https://doi.org/10.5281/zenodo.10647053.

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<strong>ABSTRACT</strong> Wireless sensor and actuator networks (WSAN) have been tremendously developed and therefore it can be employed in smart agriculture to establish optimal scheduled irrigation systems. It helps to interconnect physical objects that are equipped with sensors, actuators, control and computing units and is capable to collaborate them on any task in a network. Wherein each smart objects collects data from the environment, process them and starts appropriate actions. So, the wireless sensor and actuator networks can bring incredible benefits and assists people in building sm

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Teekaraman, Yuvaraja, Hariprasath Manoharan, Ramya Kuppusamy, Shabana Urooj, and Fadwa Alrowais. "Energy efficient multi-hop routing protocol for smart vehicle monitoring using intelligent sensor networks." International Journal of Distributed Sensor Networks 17, no. 12 (2021): 155014772110391. http://dx.doi.org/10.1177/15501477211039134.

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This article focuses on intensifying in-vehicle biological wireless sensor networks for the persistence of monitoring the information on a precise vehicle. The wireless sensor networks will have enormous amount of nodules which are interrelated with each other. Therefore, these wireless sensor networks can be installed on a vehicle not only for monitoring perseverance but also for corroborating security with the support of a Global Positioning System expedient. In addition, the projected work focuses on reliable communiqué which is defined in terms of network reliability with discrepancy in re

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Milana N., Megha, and M. Z. Kurian. "IoT Based Sensor Network for Agricultural Application." International Journal of Advance Research and Innovation 4, no. 2 (2016): 78–84. http://dx.doi.org/10.51976/ijari.421612.

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A conventional sensor network is a radio network of sensor nodes with ability to sense physical parameters, store sensed data, carry out simple processing on data and forward the data through radio interface. The objective of such network is to push the data to a sink node which can then forward the data to server ( or cloud). However many real time applications includes sensors spread over long areas. As such they are treated as independent networks. Internet of Things is a new paradigm of connecting devices like microcontroller and smart objects to cloud. Using IoT services, we can now conne

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Sunil R. Hirekhan. "Development of Low-Power IoT Sensors for Smart Electrical Networks." Advances in Nonlinear Variational Inequalities 28, no. 3s (2025): 623–42. https://doi.org/10.52783/anvi.v28.3156.

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Recently, the demand for improving smart electrical networks has been rising which has increased the need for cost-effective low-power Internet of Things (IoT) sensors with reliable sensing and communication capabilities. However, traditional IoT sensors in those networks are stuck at high power, low scalability and low-throughput and cannot be performed in real time, which reduces its application scope. To overcome these limitations, this paper describes the development of novel low-power Internet of Things (IoT) sensors targeting smart electrical networks. Our approach combines the use of en

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Anees, Zhang, Baig, and Lougou. "Energy-Efficient Multi-Disjoint Path Opportunistic Node Connection Routing Protocol in Wireless Sensor Networks for Smart Grids." Sensors 19, no. 17 (2019): 3789. http://dx.doi.org/10.3390/s19173789.

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The gradual increase in the maturity of sensor electronics has resulted in the increasing demand for wireless sensor networks for many industrial applications. One of the industrial platforms for efficient usage and deployment of sensor networks is smart grids. The critical network traffic in smart grids includes both delay-sensitive and delay-tolerant data for real-time and non-real-time usage. To facilitate these traffic requirements, the asynchronous working–sleeping cycle of sensor nodes can be used as an opportunity to create a node connection. Efficient use of wireless sensor network in

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Swain, Ayusee, Surender Reddy Salkuti, and Kaliprasanna Swain. "An Optimized and Decentralized Energy Provision System for Smart Cities." Energies 14, no. 5 (2021): 1451. http://dx.doi.org/10.3390/en14051451.

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Energy efficiency and data security of smart grids are one of the major concerns in the context of implementing modern approaches in smart cities. For the intelligent management of energy systems, wireless sensor networks and advanced metering infrastructures have played an essential role in the transformation of traditional cities into smart communities. In this paper, a smart city energy model is proposed in which prosumer communities were built by interconnecting energy self-sufficient households to generate, consume and share clean energy on a decentralized trading platform by integrating

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Hu, Ling. "Design and Construction of Intelligent Corridor of Tourist Attractions Based on Sensor Network." Journal of Sensors 2022 (September 12, 2022): 1–12. http://dx.doi.org/10.1155/2022/8366122.

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This paper presents an in-depth analysis and study of traditional corridor construction and tourism system planning using intelligent sensing networks. This paper proposes a node deployment and coverage optimization method for HWSNs based on particle swarm optimization emperor butterfly algorithm and extreme learning machine, with the objectives of reducing node deployment cost, reducing coverage redundancy and voids, improving monitoring area coverage, and increasing the agility of data processing by 15.03%, efficiency by 12.15%, and stability by 11.31%. In the paper, the static parameter tab

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Al-Hamid, Duaa Zuhair, Pejman A. Karegar, and Peter Han Joo Chong. "A Novel SDWSN-Based Testbed for IoT Smart Applications." Future Internet 15, no. 9 (2023): 291. http://dx.doi.org/10.3390/fi15090291.

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Wireless sensor network (WSN) environment monitoring and smart city applications present challenges for maintaining network connectivity when, for example, dynamic events occur. Such applications can benefit from recent technologies such as software-defined networks (SDNs) and network virtualization to support network flexibility and offer validation for a physical network. This paper aims to present a testbed-based, software-defined wireless sensor network (SDWSN) for IoT applications with a focus on promoting the approach of virtual network testing and analysis prior to physical network impl

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Tatlas, Nikolas Alexander, Dimitris Ballios, Stelios M. Potirakis, Christina Charitou, Stelios Koutroubinas, and Maria Rangoussi. "A Smart Sensor Platform for Greenhouse Applications." Key Engineering Materials 644 (May 2015): 92–95. http://dx.doi.org/10.4028/www.scientific.net/kem.644.92.

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A platform for a flexible, smart sensing system using available hardware components for monitoring the operation of a greenhouse is presented. The smart sensor is based on a ZigBee MCU embedded system with multiple connectivity options to facilitate digital or analogue sensors as well as the necessary peripherals for energy management and programming/debugging. A number of physical parameters may be simultaneously monitored by each node, such as temperature, relative humidity, CO2, light intensity, soil pH / moisture through appropriate sensors. Basic functions, such as sensor differential det

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Zhang, Yiying, Suxiang Zhang, and Yuemin Ding. "Research on the Influence of Sensor Network Communication in the Electromagnetic Environment of Smart Grid." Journal of Electrical and Computer Engineering 2016 (2016): 1–12. http://dx.doi.org/10.1155/2016/8252901.

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Smart grid adopts wildly various sensors for lots of applications to sense work environment, monitor production process and realize the automation control, and so forth. However, due to the wireless and open communication, the electromagnetic phenomena in the communication and the electric network of the sensor network usually produce the mutual interference. Meanwhile, electrical equipment and sensors are usually in high pressure electromagnetic environment. Therefore, it is very necessary and important to ensure the reliability and stability in smart grid applications. And the sensing and co

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Kushwaha, Ruchi, Rohit Shambharkar, Suyash Gupta, and Monika Malik. "Integration of Block chain Model for Energy Efficient WSN for IOT Application." International Journal for Research in Applied Science and Engineering Technology 11, no. 2 (2023): 34–37. http://dx.doi.org/10.22214/ijraset.2023.48942.

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Abstract: Wireless Sensor Networks (WSNs) play a key role in the Internet of Sensor Things (IoST).IoST helps collect data from environments and is used in energy trading, monitoring, smart grids, and more. Connect to the Internet and automate your surveillance system without third-party involvement. An IoST network consists of Sensor nodes that perform environmental monitoring. Wireless Sensor Networks (WSN) and the Internet of Things (I.o.T) have gained popularity in recent years as the underlying infrastructure for connected devices and sensors in a variety of sectors. The data generated by

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Hameed, Bilal Hashim, Anmar Yahya Taher, Raed Khalid Ibrahim, Adnan Hussein Ali, and Yasser Adnan Hussein. "Based on mesh sensor network: design and implementation of security monitoring system with Bluetooth technology." Indonesian Journal of Electrical Engineering and Computer Science 26, no. 3 (2022): 1781. http://dx.doi.org/10.11591/ijeecs.v26.i3.pp1781-1790.

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One of the most <span>critical aspects to consider in wireless sensor networks is security, particularly in internet of things (IoT) implementations. Sensor network applications had risen in the past 5 years since these networks have been used in various parts of life (smart residential and commercial buildings, medical, and agriculture). In this study, we provide a novel network of sensors based on the Bluetooth network that may be used to protect commercial buildings. The Bluetooth type HC 06 was chosen since it has a low energy consumption and a communication range of 100 meters. Such

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MAEDA, Ryutaro. "Autonomous Sensor Network for Smart Society." Journal of the Institute of Electrical Engineers of Japan 137, no. 2 (2017): 93–96. http://dx.doi.org/10.1541/ieejjournal.137.93.

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Hamouche, Rédha, Remy Kocik, Geneviève Baudoin, and Abdenour Kifouche. "Sensor network design for smart building." International Journal of Digital Enterprise Technology 1, no. 4 (2019): 368. http://dx.doi.org/10.1504/ijdet.2019.10025007.

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Kifouche, Abdenour, Rédha Hamouche, Remy Kocik, and Geneviève Baudoin. "Sensor network design for smart building." International Journal of Digital Enterprise Technology 1, no. 4 (2019): 368. http://dx.doi.org/10.1504/ijdet.2019.103361.

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Ghosh, Shyamakshi, Shrisha Rao, and Balkrishnan Venkiteswaran. "Sensor Network Design for Smart Highways." IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans 42, no. 5 (2012): 1291–300. http://dx.doi.org/10.1109/tsmca.2012.2187185.

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Samah, Asma' Abu, and Nor Fadzilah Abdullah. "Convolutional Neural Network-Based Human Stress Detection Using Multivariate Sensor Data and Cross-Validation." Smart Techno (Smart Technology, Informatics and Technopreneurship) 7, no. 1 (2025): 45–50. https://doi.org/10.59356/smart-techno.v7i1.155.

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Early identification of human stress levels plays a crucial role in promoting mental well-being and preventing related health issues. However, conventional stress assessment methods often involve multi-step procedures or subjective evaluations, making them inefficient and impractical for continuous monitoring. This study introduces a Convolutional Neural Network (CNN)-based approach to automatically detect human stress using multivariate sensor data, such as heart rate, oxygen saturation, body temperature, and movement signals. Unlike traditional machine learning methods that rely on handcraft

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