Relevant bibliographies by topics / Sensor data transmission

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Sensor data transmission'

Author: Grafiati
Published: 6 June 2025
Last updated: 15 June 2025

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Journal articles on the topic "Sensor data transmission"

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Zang, Yue, Yuyang Peng, Sangdon Park, Han Hai, Fawaz AL-Hazemi, and Mohammad Meraj Mirza. "A Novel Cooperative Transmission Scheme in UAV-Assisted Wireless Sensor Networks." Electronics 11, no. 4 (2022): 600. http://dx.doi.org/10.3390/electronics11040600.

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In wireless sensor networks (WSNs), the efficiency of data transmission within a limited time is critical, especially for sensors designed with small batteries. In this paper, we design a cooperative transmission scheme with an energy-charging function in a WSN where an unmanned aerial vehicle (UAV) is considered for sensory data collection and energy charging. Specially, the sensor nodes are powered by the UAV for their data transmission. In the first phase, the UAV transmits the energy signal to the sensor nodes distributed on the ground. All the energy received by the sensor nodes is used to collect and transmit the sensory data to the UAV. In the second phase, local data transmissions are conducted among the collaborating sensor nodes in one cluster. In the third phase, the cooperative nodes send the collected sensory data to the UAV in the form of cooperative transmission. In the proposed scheme, we discovered that the size of the modulation constellation and the assigned time ratio of each phase were the key factors affecting the data transmission efficiency. In order to achieve the maximum data transmission, the optimal modulation constellation size and the optimal time ratio of each phase were found using the Lagrange multiplier method. Numerical results show that the proposed scheme with the optimal constellation size and the optimal time ratio can outperform the existing scheme in terms of the data transmission efficiency.
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SUH, YOUNG SOO. "ESTIMATION ALGORITHM FOR SEQUENTIAL TRANSMISSION OF SENSOR DATA." Journal of Circuits, Systems and Computers 18, no. 08 (2009): 1493–504. http://dx.doi.org/10.1142/s0218126609005812.

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In this paper, a state estimation problem is considered, where sensor data are transmitted with finite communication capacity constraint. To reduce the sensor data transmission, only one sensor data is transmitted at each period among multiple sensors. We propose a dynamic scheduling algorithm, which is based on the difference between the current sensor data and the last transmitted sensor value. The proposed algorithm chooses sensor data, which have the largest contribution to the estimation performance. With the proposed algorithm, when a sensor data is chosen and transmitted, some information can be derived from not transmitted sensor data. This information is also used for better estimation performance.
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Zhang, Jiasen, Xiaomei Wang, Bin Wang, Weikai Sun, Haiyang Du, and Yuanke Zhao. "Energy-Efficient Data Transmission for Underwater Wireless Sensor Networks: A Novel Hierarchical Underwater Wireless Sensor Transmission Framework." Sensors 23, no. 12 (2023): 5759. http://dx.doi.org/10.3390/s23125759.

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The complexity of the underwater environment enables significant energy consumption of sensor nodes for communication with base stations in underwater wireless sensor networks (UWSNs), and the energy consumption of nodes in different water depths is unbalanced. How to improve the energy efficiency of sensor nodes and meanwhile balance the energy consumption of nodes in different water depths in UWSNs are thus urgent concerns. Therefore, in this paper, we first propose a novel hierarchical underwater wireless sensor transmission (HUWST) framework. We then propose a game-based, energy-efficient underwater communication mechanism in the presented HUWST. It improves the energy efficiency of the underwater sensors personalized according to the various water depth layers of sensor locations. In particular, we integrate the economic game theory in our mechanism to trade off variations in communication energy consumption due to sensors in different water depth layers. Mathematically, the optimal mechanism is formulated as a complex nonlinear integer programming (NIP) problem. A new energy-efficient distributed data transmission mode decision algorithm (E-DDTMD) based on the alternating direction method of multipliers (ADMM) is thus further proposed to tackle this sophisticated NIP problem. The systematic simulation results demonstrate the effectiveness of our mechanism in improving the energy efficiency of UWSNs. Moreover, our presented E-DDTMD algorithm achieves significantly superior performance to the baseline schemes.
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Liu, Bin, and Hongbo Zhu. "Energy-Effective Data Gathering for UAV-Aided Wireless Sensor Networks." Sensors 19, no. 11 (2019): 2506. http://dx.doi.org/10.3390/s19112506.

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Unmanned aerial vehicles (UAVs) are capable of serving as a data collector for wireless sensor networks (WSNs). In this paper, we investigate an energy-effective data gathering approach in UAV-aided WSNs, where each sensor node (SN) dynamically chooses the transmission modes, i.e., (1) waiting, (2) conventional sink node transmission, (3) uploading to UAV, to transmit sensory data within a given time. By jointly considering the SN’s transmission policy and UAV trajectory optimization, we aim to minimize the transmission energy consumption of the SNs and ensure all sensory data completed collected within the given time. We take a two-step iterative approach and decouple the SN’s transmission design and UAV trajectory optimization process. First, we design the optimal SNs transmission mode policy with preplanned UAV trajectory. A dynamic programming (DP) algorithm is proposed to obtain the optimal transmission policy. Then, with the fixed transmission policy, we optimize the UAV’s trajectory from the preplanned trace with recursive random search (RRS) algorithm. Numerical results show that the proposed scheme achieves significant energy savings gain over the benchmark schemes.
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Al Jaoufi, Mohammed Ahmed Ahmed, Yun Liu, and Zhen Jiang Zhang. "A Safe and Transparent Sensor Network Data Aggregation (STDA) Program." Advanced Materials Research 1079-1080 (December 2014): 591–94. http://dx.doi.org/10.4028/www.scientific.net/amr.1079-1080.591.

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In recent years, with the rapid development of the era economy and ever-changing science and technology, today's era information gradually moving towards a diversified network communication. Sensor networks data aggregation mainly gradually reduce redundant transmission and reduce energy consumption to the maximum extent. Currently sensor network data aggregation scheme as an important form of information transmission, is widely used in all kinds of data transmission. This sink node comprehensively checks and compares data and also ensure its secure transmission of data. In the process of researching and analyzing a secure and transparent gathering sensor network program data, this paper firstly introduce the safety data convergence protocol and encryption data aggregation scheme, and then build the network model and the attacker model and elaborate sensors data convergence specific program and finally analyze sensor network data solutions security.
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Falah Abbood, Mohammed, Mohammed Falih Kadhim, and Ahmed Raheem Kadhim. "Improving multimedia data transmission quality in wireless multimedia sensor networks though priority-based data collection." International Journal of Electrical and Computer Engineering (IJECE) 12, no. 4 (2022): 3595. http://dx.doi.org/10.11591/ijece.v12i4.pp3595-3606.

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<span>Wireless multimedia sensor networks (WMSNs) are special kinds of wireless sensor networks (WSN) that can send multimedia data such as audio and video streams. Sensors used in WMSNs are smart, tiny, and resource constraint sensor nodes (SNs) distributed in a large area. Typically, multimedia data are large in comparison to other data types. As a result, WMSNs have to deal with high volumes of packet transmission, leading to a high rate of packet loss and network congestion. Network congestion can significantly affect the quality of service and usually lead to high energy consumption. Thus, to improve the quality of service (QoS) and transmission performance, it is necessary to deal with network congestion. In the past, different packet prioritizing methods were proposed to deal with this issue. However, improving QoS usually requires high energy to function correctly. Consequently, using rechargeable sensor nodes to reduce energy consumption is an acute solution. In this research, priority-based data collection is considered to cut down on data distortion and improve the QoS of the multimedia sensor network. Additionally, energy harvesting sensor nodes were used to reduce energy consumption due to the high transmission rate. The simulation result shows a noticeable improvement in the performance of our proposed method in comparison to previous methods.</span>
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Mohammed, Falah Abbood, Falih Kadhim Mohammed, and Raheem Kadhim Ahmed. "Improving multimedia data transmission quality in wireless multimedia sensor networks though priority-based data collection." International Journal of Electrical and Computer Engineering (IJECE) 12, no. 4 (2022): 3595–606. https://doi.org/10.11591/ijece.v12i4.pp3595-3606.

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Wireless multimedia sensor networks (WMSNs) are special kinds of wireless sensor networks (WSN) that can send multimedia data such as audio and video streams. Sensors used in WMSNs are smart, tiny, and resource constraint sensor nodes (SNs) distributed in a large area. Typically, multimedia data are large in comparison to other data types. As a result, WMSNs have to deal with high volumes of packet transmission, leading to a high rate of packet loss and network congestion. Network congestion can significantly affect the quality of service and usually lead to high energy consumption. Thus, to improve the quality of service (QoS) and transmission performance, it is necessary to deal with network congestion. In the past, different packet prioritizing methods were proposed to deal with this issue. However, improving QoS usually requires high energy to function correctly. Consequently, using rechargeable sensor nodes to reduce energy consumption is an acute solution. In this research, priority-based data collection is considered to cut down on data distortion and improve the QoS of the multimedia sensor network. Additionally, energy harvesting sensor nodes were used to reduce energy consumption due to the high transmission rate. The simulation result shows a noticeable improvement in the performance of our proposed method in comparison to previous methods.
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Aishwarya Ashok Patil, Spriha Deshpande. "Real-Time Encryption and Secure Communication for Sensor Data in Autonomous Systems." Journal of Information Systems Engineering and Management 10, no. 41s (2025): 41–55. https://doi.org/10.52783/jisem.v10i41s.7585.

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In modern autonomous systems, the secure transmission of sensor data plays a pivotal role in ensuring the safety and privacy of operations. This study explores a secure communication framework for transmitting sensor data, such as camera, lidar, and radar, using advanced encryption techniques. We implement an encryption and decryption system based on AES GCM mode to ensure data confidentiality and integrity during transmission. The performance of the system is evaluated through key metrics including encryption time, decryption time, transmission counts, and data size for each sensor type. Visualizations are presented to analyze the relationship between these factors and to evaluate the system’s efficiency. The system’s effectiveness is demonstrated by simulating data transmissions with different transmission counts for each sensor, showing the scalability and robustness of the encryption scheme for real-time applications.
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Janik, Paweł, Małgorzata A. Janik, and Michał Pielka. "Monitoring Breathing and Heart Rate Using Episodic Broadcast Data Transmission." Sensors 22, no. 16 (2022): 6019. http://dx.doi.org/10.3390/s22166019.

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The paper presents a wearable sensor for breath and pulse monitoring using an inertial sensor and episodic broadcast radio transmission. The data transmission control algorithm applied allows for the transmission of additional information using the standard PDU format and, at the same time, goes beyond the Bluetooth teletransmission standard (BLE). The episodic broadcast transmission makes it possible to receive information from sensors without the need to create a dedicated radio link or a defined network structure. The radio transmission controlled by the occurrence of a specific event in the monitored signal is combined with the reference wire transmission. The signals from two different types of sensors and the simulated ECG signal are used to control the BLE transmission. The presented results of laboratory tests indicate the effectiveness of episodic data transmission in the BLE standard. The conducted analysis showed that the mean difference in pulse detection using the episodic transmission compared to the wire transmission is 0.038 s, which is about 4% of the mean duration of a single cycle, assuming that the average adult human pulse is 60 BPM.
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Xiong, Runqun, and Feng Shan. "DroneTank: Planning UAVs’ Flights and Sensors’ Data Transmission under Energy Constraints." Sensors 18, no. 9 (2018): 2913. http://dx.doi.org/10.3390/s18092913.

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We consider an Unmanned Aerial Vehicle (UAV, also known as drone) as an aerial sink to travel along a natural landscape or rural industrial linear infrastructure to collect data from deployed sensors. We study a joint schedule problem that involves flight planning for the drone and transmission scheduling for sensors, such that the maximum amount of data can be collected with a limited individual energy budget for the UAV and the sensors, respectively. On one hand, the flight planning decides the flight speed and flight path based on sensor locations, energy budgets, and the transmission schedule. On the other hand, the transmission schedule decides for each sensor when to deliver data and what transmission power to use based on the energy budgets and flight plan. By observing three import optimality properties, we decouple the joint problem into two subproblems: drone flight planning and sensor transmission scheduling. For the first problem, we propose a dynamic programming algorithm to produce the optimal flight planning. For the second problem, with a flight plan as input, we introduce a novel technique (water-tank), which together with dynamic programming, is the key to achieve an optimal transmission schedule that maximizes data collection. Simulations show that the separately determined flight plan and transmission schedule are near-optimal for the original joint problem.
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Dissertations / Theses on the topic "Sensor data transmission"

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Yow, Thiam Poh. "Tunneled data transmission over wireless sensor networks." Thesis, Monterey, Calif. : Naval Postgraduate School, 2007. http://bosun.nps.edu/uhtbin/hyperion-image.exe/07Dec%5FYow.pdf.

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Thesis (M.S. in Electrical Engineering)--Naval Postgraduate School, December 2007.<br>Thesis Advisor(s): McEachen, John C. ; Tummala, Murali. "December 2007." Description based on title screen as viewed on January 24, 2008. Includes bibliographical references (p. 73-74). Also available in print.
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Gouveia, Francisco de. "Transmission and presentation of medical sensor-data." Master's thesis, Universidade de Aveiro, 2013. http://hdl.handle.net/10773/11767.

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Mestrado em Sistemas de Informação<br>This document covers the design, implementation and evaluation of a system that receives, processes and presents live streams of vital signs from sensors attached to a person’s body or in his surrounding environment. This is used either to prevent, analyse and/or act upon a critical scenario of emergency. Due to this critical scenarios where the system can be used, a distributed approach is implemented. Its aim is to reduce the risk of failure and give the possibility of transparent resource scaling according to the needs. Moreover, it is fully modularized for feature extensability and multiple sensor type support. Its Web interface is meant to provide a multi-platform access to the system, as long as the platform has a browser installed. It has a responsive design, according to the screen size of the client device, be it a smartphone, a tablet or a desktop computer. Given the maturity of Web applications and services available, it is easy to add the support for different visualization frameworks or services.<br>Este documento apresenta o design, implementação e avaliação de um sistema que recebe, processa e apresenta emissões instantâneas de dados vitais de sensores ligados a uma pessoa ou ao meio em que esta se insere. Este é usado para prevenção, análise e/ou acção perante uma situação de emergência. Dados os cenários críticos one o sistema pode ser usado, este é composto por uma arquitectura distribuída, com o intuito de reduzir o risco de o sistema parar por alguma falha, e dar a possibilidade de expandir ou reduzir a capacidade de processamento de acordo com a necessidade de utilização. Além disso, é também um sistema completamante modular e suporta o desevolvimento de módulos com novas funcionalidades ou suporte para diferentes tipos de sensores. A sua interface Web permite o acesso ao sistema, independentemente da plataforma utilizada, desde que esta tenha um browser. Está preparada para ter um design responsivo, de acordo com o tamanho do ecrã do dispositivo, seja um telemóvel, um tablet ou um computador de mesa. Dada a maturidade das aplicações e serviços Web disponíveis, é fácil extender também a interface para suportar novoso tipos de visualizações de informação.<br>Diese Arbeit behandelt Design, Implementierung und Evaluation eines Systems, das live übertragene Vitalparameter von Sensoren empfängt, verarbeitet und darstellt, die an einem menschlichen Körper angebracht sind oder in seiner Umgebung. Es wird genutzt um kritischen Unfallszenarien vorzubeugen, sie zu analysieren und/oder auf sie zu reagieren. Aufgrund dieser kritischen Szenarien, in denen das System genutzt werden kann, wird ein verteilter Ansatz implementiert. Das Ziel ist es die Fehlerrate zu reduzieren und, bedarfsabhängig, die Möglichkeit zur tranparenten Skalierung der Ressourcen zu geben. Desweiteren ist das System voll modularisiert, um Erweiterbarkeit und die Unterstützung vieler Sensortypen zu gewährleisten. Das Webinterface bietet Zugang von verschiedensten Plattformen, solange ein Browser installiert ist. Es hat ein responsives Webdesign, dass sich and die Bildschirmgröße jedes Nutzergerätes anpasst, sei es ein Smartphone, Tablet oder Desktop Computer. Der gegebene Reifegrad von Webapplikationen und -diensten ermöglicht die Unterstützung verschiedener Visualisierungsframeworks oder -dienste.
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Lord, Dale, and Kurt Kosbar. "An Architecture for Sensor Data Fusion to Reduce Data Transmission Bandwidth." International Foundation for Telemetering, 2004. http://hdl.handle.net/10150/605790.

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International Telemetering Conference Proceedings / October 18-21, 2004 / Town & Country Resort, San Diego, California<br>Sensor networks can demand large amounts of bandwidth if the raw sensor data is transferred to a central location. Feature recognition and sensor fusion algorithms can reduce this bandwidth. Unfortunately the designers of the system, having not yet seen the data which will be collected, may not know which algorithms should be used at the time the system is first installed. This paper describes a flexible architecture which allows the deployment of data reduction algorithms throughout the network while the system is in service. The network of sensors approach not only allows for signal processing to be pushed closer to the sensor, but helps accommodate extensions to the system in a very efficient and structured manner.
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Zhu, Chunsheng. "Improving sensor-cloud : energy efficiency, security, sensory data transmission, and quality of service." Thesis, University of British Columbia, 2016. http://hdl.handle.net/2429/58352.

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Recently, induced by incorporating 1) the ubiquitous data gathering capabilities of wireless sensor networks (WSNs) as well as 2) the powerful data storage and data processing abilities of cloud computing (CC), Sensor-Cloud is attracting growing attention from both academia and industry. However, Sensor-Cloud is still in its infancy and a lot of research efforts are expected to emerge in this area. Improving Sensor-Cloud, this thesis first presents the important research issues that are yet to be widely investigated by other researchers regarding the energy efficiency, security, sensory data transmission and quality of service (QoS) of Sensor-Cloud, respectively. Further, our accomplished work regarding solving the identified research issues is described. Particularly, two collaborative location-based sleep scheduling (CLSS) schemes are designed. Based on the locations of mobile users, CLSS dynamically determines the awake or asleep status of each sensor node to reduce energy consumption of the WSN integrated with mobile cloud. An authenticated trust and reputation calculation and management (ATRCM) system is introduced. ATRCM considers i) the authenticity of cloud service provider (CSP) and sensor network provider (SNP); ii) the attribute requirement of cloud service user (CSU) and CSP; iii) the cost, trust, and reputation of the service of CSP and SNP. A mechanism named TPSS is shown. TPSS consists of two main parts: 1) time and priority-based selective data transmission (TPSDT) for WSN gateway to selectively transmit sensory data to the cloud and 2) priority-based sleep scheduling (PSS) algorithm for WSN to save energy consumption. Trust-Assisted Sensor-Cloud (TASC) is exhibited. In TASC, the sensory data is gathered and transmitted to cloud, by the trusted sensors (i.e., sensors which own trust values surpassing a threshold) in WSN. The sensory data is stored, processed and on demand delivered to users, by the trusted data centers (i.e., data centers which own trust values surpassing a threshold) in cloud. The analytical and experimental results conducted in our work show that the proposed approaches can effectively alleviate the corresponding research issues, respectively. We hope our work can attract more research into Sensor-Cloud to make it develop faster and better.<br>Applied Science, Faculty of<br>Electrical and Computer Engineering, Department of<br>Graduate
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Basheer, Al-Qassab. "Reliability of Data Collection and Transmission in Wireless Sensor Networks." Youngstown State University / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=ysu1377472863.

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kakani, phani priya. "Data Aggregation and Gathering Transmission in Wireless Sensor Networks: A Survey." Thesis, Tekniska Högskolan, Högskolan i Jönköping, JTH, Data- och elektroteknik, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-23667.

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Wireless sensor networks have many sensor devices that send their data to the sink or base station for further processing. This is called direct delivery. But this leads to heavy traffic in the network and as the nodes are limited with energy, this decreases the lifetime of the network. So data aggregation technique is introduced to improve the lifetime. This technique aggregates or merges the multiple incoming packets in to single packet and forwards it to sink. There is different data aggregation techniques based on the topology of the network. This report clearly explains the purpose of data aggregation and gathering in WSN, data aggregation in flat networks and data aggregation in hierarchical networks, different data aggregation techniques in cluster based networks, chain based, tree based and grid based networks. Data aggregation technique can successfully minimize the data traffic and energy consumption only when it is carried out in a secure manner. Part2 of the survey explains the possible attacks that affect data aggregation in wireless sensor network. The secure data aggregation techniques in wireless sensor networks are also discussed in this report.
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FORUTAN, VAHID. "Study of Techniques For Reliable Data Transmission In Wireless Sensor Networks." Doctoral thesis, Politecnico di Torino, 2013. http://hdl.handle.net/11583/2506293.

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This thesis addresses the problem of traffic transfer in wireless sensor networks (WSN). In such networks, the foremost challenge in the design of data communication techniques is that the sensor's transceiver circuitry consumes the major portion of the available power. Thus, due to stringent limitations on the nodes' hardware and power resources in WSN, data transmission must be power-efficient in order to reduce the nodes' power consumption, and hence to maximize the network lifetime while satisfying the required data rate. The transmit power is itself under the influence of data rate and source-destination distance. Thanks to the dense deployment of nodes in WSN, multi-hop communication can be applied to mitigate the transmit power for sending bits of information, i.e., gathered data by the sensor nodes to the destination node (gateway) compared to single-hop scenarios. In our approach, we achieve a reasonable trade-off between power-efficiency and transmission data rate by devising cooperative communication strategies through which the network traffic (i.e. nodes' gathered information) is relayed hop-by-hop to the gateway. In such strategies, the sensor nodes serve as data originator as well as data router, and assist the data transfer from the sensors to the gateway. We develop several data transmission schemes, and we prove their capability in transmitting the data from the sensor nodes at the highest possible rates allowed by the network limitations. In particular, we consider that (i) network has linear or quasi-linear topology, (ii) nodes are equipped with half-duplex radios, implying that they cannot transmit and receive simultaneously, (iii) nodes transmit their traffic at the same average rate. We compute the average data rate corresponding to each proposed strategy. Next, we take an information-theoretic approach and derive an upper bound to the achievable rate of traffic transfer in the networks under consideration, and analyze its tightness. We show that our proposed strategies outperform the conventional multi-hop scheme, and their average achievable rate approaches the upper bound at low levels of signal to noise ratios.
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Khan, Nabeel Pervaiz. "Energy efficient communication and rate control algorithms for wireless sensor networks." Access to citation, abstract and download form provided by ProQuest Information and Learning Company; downloadable PDF file, 114 p, 2009. http://proquest.umi.com/pqdweb?did=1818417511&sid=4&Fmt=2&clientId=8331&RQT=309&VName=PQD.

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Masilela, Mbonisi. "Supporting Data-Intensive Wireless Sensor Applications using Smart Data Fragmentation and Buffer Management." VCU Scholars Compass, 2007. http://scholarscompass.vcu.edu/etd/779.

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Recent advances in low power device technology have led to the development of smaller powerful sensors geared for use in Wireless Sensor Networks. Some of these sensors are capable of producing large data packets in a single reading. This becomes a challenging problem given the constraints imposed by current MAC and Transport Layer implementations since a single data packet can exceed the MTU of the protocol stack. Little has been done in the way of addressing this issue in Wireless Sensor Networks. This paper proposes a novel solution to this issue. Proposed is a Lightweight Data Transportation Protocol that uses smart data fragmentation and efficient pipelined transmission and buffer management schemes to solve this problem. The methodology outlined in this paper ensures that data is successfully transmitted from source to destination with minimal delay or packet loss.
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Casey, Kenan L. "Scalable, self-healing , and real-time network services for directed diffusion." Auburn, Ala., 2007. http://repo.lib.auburn.edu/2007%20Spring%20Theses/CASEY_KENAN_49.pdf.

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Books on the topic "Sensor data transmission"

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EWSN 2004 (1st 2004 Berlin, Germany). Wireless sensor networks: First European workshop, EWSN 2004, Berlin, Germany, January 19-21, 2004 : proceedings. Springer-Verlag, 2004.

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Shih-Lin, Wu, and Tseng Yu-Chee, eds. Wireless ad hoc networking: Personal-area, local-area, and the sensory-area networks. Auerbach Pub., 2007.

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M, Mosher, Huff Edward M, and NASA Glenn Research Center, eds. Threshold assessment of gear diagnostic tools on flight and test rig data. National Aeronautics and Space Administration, Glenn Research Center, 2003.

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Security and Data Reliability in Cooperative Wireless Networks. Taylor & Francis Group, 2018.

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Hassan, Emad. Security and Data Reliability in Cooperative Wireless Networks. Taylor & Francis Group, 2018.

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Hassan, Emad. Security and Data Reliability in Cooperative Wireless Networks. Taylor & Francis Group, 2018.

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Hassan, Emad. Security and Data Reliability in Cooperative Wireless Networks. Taylor & Francis Group, 2018.

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Al-Turjman, Fadi. Multimedia-Enabled Sensors in IoT: Data Delivery and Traffic Modelling. Taylor & Francis Group, 2018.

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Al-Turjman, Fadi. Multimedia-Enabled Sensors in IoT: Data Delivery and Traffic Modelling. Taylor & Francis Group, 2018.

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Al-Turjman, Fadi. Multimedia-Enabled Sensors in IoT: Data Delivery and Traffic Modelling. Taylor & Francis Group, 2018.

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Book chapters on the topic "Sensor data transmission"

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Ma, Huadong, Liang Liu, and Hong Luo. "Data Fusion Based Transmission in Multimedia Sensor Networks." In Multimedia Sensor Networks. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-0107-1_3.

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Elhoseny, Mohamed, and Aboul Ella Hassanien. "Secure Data Transmission in WSN: An Overview." In Dynamic Wireless Sensor Networks. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-92807-4_6.

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Mahalle, Parikshit N., Pooja A. Shelar, Gitanjali R. Shinde, and Nilanjan Dey. "Introduction to Underwater Wireless Sensor Networks." In The Underwater World for Digital Data Transmission. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-1307-4_1.

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Dahiya, Brahm Prakash, Shaveta Rani, and Paramjeet Singh. "Efficient Data Transmission in Wireless Sensor Networks." In Lecture Notes in Electrical Engineering. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-29407-6_22.

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Yin, Xiaohu, and Mihuan Wang. "Design and Implementation of Total Station Wireless Data Transmission System." In Sensor Networks and Signal Processing. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-4917-5_19.

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Kang, James Jin, Tom H. Luan, and Henry Larkin. "Enhancement of Sensor Data Transmission by Inference and Efficient Data Processing." In Applications and Techniques in Information Security. Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-2741-3_7.

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Kim, Seong Cheol, Jun Heon Jeon, and Hyun Joo Park. "Energy Efficient Data Transmission Mechanism in Wireless Sensor Networks." In Lecture Notes in Electrical Engineering. Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-6516-0_93.

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Kotian, Roshan, Georgios Exarchakos, and Antonio Liotta. "Data Driven Transmission Power Control for Wireless Sensor Networks." In Internet and Distributed Computing Systems. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-23237-9_8.

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Kuthadi, Venu Madhav, Rajalakshmi Selvaraj, and Tshilidzi Marwala. "Energy Efficient Secure Data Transmission in Wireless Sensor Network." In Smart Computing and Informatics. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-5544-7_28.

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Seshasai, Brundavanam, Ebha Koley, and Subhojit Ghosh. "Communication Protocols for Sensor Data Transmission in Smart Grid." In Emerging Technologies & Applications in Electrical Engineering. CRC Press, 2024. http://dx.doi.org/10.1201/9781003505181-38.

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Conference papers on the topic "Sensor data transmission"

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Vinay Prasad, M. S., M. N. Jayaram, and S. Adithya. "Multimedia Data Transmission in Underwater Wireless Sensor Network." In 2024 International Conference on Recent Advances in Science and Engineering Technology (ICRASET). IEEE, 2024. https://doi.org/10.1109/icraset63057.2024.10895248.

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Ziller, Janina, Tobias Draeager, and Thomas Heckel. "Inductive high data rate transmission for bearing systems." In 2016 IEEE Topical Conference on Wireless Sensors and Sensor Networks (WiSNet). IEEE, 2016. http://dx.doi.org/10.1109/wisnet.2016.7444332.

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Buratto, Alessandro, Hogler Tuwei, and Leonardo Badia. "Optimizing Sensor Data Transmission in Collaborative Multi-Sensor Environments." In 2023 IEEE International Conference on Communication, Networks and Satellite (COMNETSAT). IEEE, 2023. http://dx.doi.org/10.1109/comnetsat59769.2023.10420743.

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Nowak, Thorsten, Alexander Koelpin, Falko Dressler, Markus Hartmann, Lucila Patino, and Jorn Thielecke. "Combined localization and data transmission in energy-constrained wireless sensor networks." In 2015 IEEE Topical Conference on Wireless Sensors and Sensor Networks (WiSNet). IEEE, 2015. http://dx.doi.org/10.1109/wisnet.2015.7127395.

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Cao Qing, Xiang Zheng, and Ji Rui. "Multi-sensor data transmission based on CPLD." In IET Conference on Wireless, Mobile and Sensor Networks 2007 (CCWMSN07). IEE, 2007. http://dx.doi.org/10.1049/cp:20070091.

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Chatterjee, Subarna, Subhadeep Sarkar, and Sudip Misra. "Energy-efficient data transmission in sensor-cloud." In 2015 Applications and Innovations in Mobile Computing (AIMoC). IEEE, 2015. http://dx.doi.org/10.1109/aimoc.2015.7083832.

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Sangeethapriya, S., and R. Amutha. "Reliable data transmission in wireless sensor networks." In 2014 International Conference on Information Communication and Embedded Systems (ICICES). IEEE, 2014. http://dx.doi.org/10.1109/icices.2014.7034188.

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Yoshihisa, Tomoki, and Shojiro Nishio. "Data Transmission Techniques for Mobile Sensor Networks." In 2014 28th International Conference on Advanced Information Networking and Applications Workshops (WAINA). IEEE, 2014. http://dx.doi.org/10.1109/waina.2014.44.

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Robinson, Charles A., Brandon T. Nieman, Robert Craven, Muhammad Enagi Bima, and C. W. Van Neste. "Development of A Wireless Power Transmission System for Agriculture Sensor Devices." In 2020 IEEE International Conference on Big Data (Big Data). IEEE, 2020. http://dx.doi.org/10.1109/bigdata50022.2020.9377855.

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Battistelli, Giorgio, Alessio Benavoli, and Luigi Chisci. "Data-driven strategies for selective data transmission in sensor networks." In 2012 IEEE 51st Annual Conference on Decision and Control (CDC). IEEE, 2012. http://dx.doi.org/10.1109/cdc.2012.6426419.

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Reports on the topic "Sensor data transmission"

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Falconer, David G. L51774 Remote Sensing of Hazardous Ground Movement about Buried Gas Transmission Lines. Pipeline Research Council International, Inc. (PRCI), 1997. http://dx.doi.org/10.55274/r0011973.

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Reviews the available sensors for monitoring hazardous ground movement. Our review was limited to airborne and spaceborne sensors for access, performance, and productivity considerations. It was observed that certain ground movement is comparatively localized, e.g., earthquake faulting, while other activity may extend for thousands of kilometers, e.g., frost heave. Accordingly, we have considered two operating modes for the sensor-platform system, namely, site-by-site and continuous corridor. To determine the suitability of the candidate sensors for pipeline monitoring, we have assessed the expected performance, operational aspects, and cost of each sensor-platform combination as a function of operating mode. Finally, we have developed a business model for (1) operation of the recommended sensor systems by fee-for-service contractors; (2) analysis of the collected data by image-analysis specialists; and (3) use of the survey products by pipeline engineers.
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Wicker, Steven B. Self-Configuring Wireless Transmission and Decentralized Data Processing for Generic Sensor Networks. Defense Technical Information Center, 2004. http://dx.doi.org/10.21236/ada425425.

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Taylor. L51724 Fiber Optic Pressure Sensor Development. Pipeline Research Council International, Inc. (PRCI), 1995. http://dx.doi.org/10.55274/r0010368.

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Fiber optic sensors have been under development in industrial and government laboratories around the world for over a decade The commercial market for fiber sensors for measuring parameters such as temperature, displacement, and liquid level is now estimated to exceed $50 M/year Aside from the commercial interest, the U S. Department of Defense has vigorously pursued the development of fiber gyroscopes and hydrophones In spite of the high level of research and devleopment activity, however, fiber sensors were not successfully applied in the relatively harsh environment of engine combustion chambers prior to 1991. The goal of this development is to demonstrate the utilization of a new fiber optic sensor technology in engines used for natural gas transmission. Presently, there is no way to continuously measure pressure in these engines over extended periods of operation. Reliable fiber optic sensor networks supplying data to computerized control systems for on-line engine balancing could lead to major reductions in the emission of NO, and other harmful combustion products. Fuel economies in the millions of dollars per year for companies in the natural gas transmission industry could also be realized.
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Taylor. L51755 Development and Testing of an Advanced Technology Vibration Transmission. Pipeline Research Council International, Inc. (PRCI), 1996. http://dx.doi.org/10.55274/r0010124.

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Fiber optic sensors have been under development in industrial and government laboratories around the world for over a decade. The commercial market for fiber sensors for measuring parameters such as temperature, displacement, and liquid level is now estimated to exceed $100 M/year. Aside from the commercial interest, the U. S. Department of Defense has vigorously pursued the development of fiber gyroscopes and hydrophones. In spite of the high level of research and development activity, however, until recently fiber sensors had not been successfully applied in high-temperature engine environments. The goal of this effort is to develop and test high-temperature fiber optic sensors and show that they are suitable for monitoring vibration and other instabilities in gas turbine engines. The underlying technology developed during the course of PRCI projects PR- 219-9120 and PR-219-9225 during 1991-94 serves as the foundation for PR-240-9416. Transducers with the fiber optic Fabry-Perot interferometer (FFPI) configuration have been adapted for use in the turbomachinery environment.To ensure the survival of the FFPI sensors at high temperatures, two techniques for coating the fibers with metal have been developed: electroplating and vacuum deposition. Coated sensors have subsequently been embedded in aluminum and brass alloys. Experiments on a small Sargent Welch turbine engine have shown the high sensitivity of embedded FFPI strain sensors to vibration in rolling bearings. Data have been collected in both the time and frequency domain. A new accelerometer design in which a metal-coated fiber containing the FFPI element is soldered directly to a diaphragm in a stainless steel housing shows response similar to a piezoelectric accelerometer in shaker table tests. The high sensitivity of the FFPI accelerometer has been demonstrated in field tests in a Solar Centaur turbine engine, and the design has survived temperatures greater than 500�C in a test oven. A magnetometer with a physical configuration similar to that of the accelerometer has been used to measure the distance from the sensor head to a rotating shaft made of ferromagnetic material. This device, which functions as a proximity probe, has been used to monitor shaft rotation rate (keyphasor application) and as a shaft thrust position sensor. These results indicate the potential for performing critical measurements in turbine engines with FFPI sensors. They can measure acceleration, distance (proximity), strain (as it relates to bearing defect diagnosis), and gas pressure, and can operate at higher temperatures than conventional transducers.
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Kong, Zhihao, and Na Lu. Determining Optimal Traffic Opening Time Through Concrete Strength Monitoring: Wireless Sensing. Purdue University, 2023. http://dx.doi.org/10.5703/1288284317613.

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Construction and concrete production are time-sensitive and fast-paced; as such, it is crucial to monitor the in-place strength development of concrete structures in real-time. Existing concrete strength testing methods, such as the traditional hydraulic compression method specified by ASTM C 39 and the maturity method specified by ASTM C 1074, are labor-intensive, time consuming, and difficult to implement in the field. INDOT’s previous research (SPR-4210) on the electromechanical impedance (EMI) technique has established its feasibility for monitoring in-situ concrete strength to determine the optimal traffic opening time. However, limitations of the data acquisition and communication systems have significantly hindered the technology’s adoption for practical applications. Furthermore, the packaging of piezoelectric sensor needs to be improved to enable robust performance and better signal quality. In this project, a wireless concrete sensor with a data transmission system was developed. It was comprised of an innovated EMI sensor and miniaturized datalogger with both wireless transmission and USB module. A cloud-based platform for data storage and computation was established, which provides the real time data visualization access to general users and data access to machine learning and data mining developers. Furthermore, field implementations were performed to prove the functionality of the innovated EMI sensor and wireless sensing system for real-time and in-place concrete strength monitoring. This project will benefit the DOTs in areas like construction, operation, and maintenance scheduling and asset management by delivering applicable concrete strength monitoring solutions.
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Bendikov, Michael, and Thomas C. Harmon. Development of Agricultural Sensors Based on Conductive Polymers. United States Department of Agriculture, 2006. http://dx.doi.org/10.32747/2006.7591738.bard.

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In this 1-year feasibility study, we tried polymerization of several different monomers, commercial as well as novel, specially designed and synthesized for this project in the presence of the nitrate ion to produce imprinted conductive polymers. Polymers 1 and 2 (shown below) produced a response to nitrate, but one inferior to that produced by a polypyrrole (Ppy)-based sensor (which we demonstrated prior to this study). Thus, we elected to proceed with improving the stability of the Ppy-based sensor. In order to improve stability of the Ppy-based sensor, we created a two-layer design which includes nitrate-doped Ppy as an inner layer, and nitrate-doped PEDOT as the outer layer. PEDOT is known for its high environmental stability and conductivity. This design has demonstrated promise, but is still undergoing optimization and stability testing. Previously we had failed to create nitrate-doped PEDOT in the absence of a Ppy layer. Nitrate-doped PEDOT should be very promising for sensor applications due to its high stability and exceptional sensing properties as we showed previously for sensing of perchlorate ions (by perchlorate-doped PEDOT). During this year, we have succeeded in preparing nitrate-doped PEDOT (4 below) by designing a new starting monomer (compound 3 below) for polymerization. We are currently testing this design for nitrate sensing. In parallel with the fabrication design studies, we fabricated and tested nitrate-doped Ppy sensors in a series of flow studies under laboratory and field conditions. Nitrate-doped Ppy sensors are less stable than is desirable but provide excellent nitrate sensing characteristics for the short-term experiments focusing on packaging and deployment strategies. The fabricated sensors were successfully interfaced with a commercial battery-powered self-logging (Onset Computer Hobo Datalogger) and a wireless data acquisition and transmission system (Crossbow Technologies MDA300 sensor interface and Mica2 wireless mote). In a series of flow-through experiments with water, the nitrate-doped Ppy sensors were exposed to pulses of dissolved nitrate and compared favorably with an expensive commercial sensor. In 24-hour field tests in both Merced and in Palmdale, CA agricultural soils, the sensors responded to introduced nitrate pulses, but with different dynamics relative to the larger commercial sensors. These experiments are on-going but suggest a form factor (size, shape) effect of the sensor when deployed in a porous medium such as soil. To fill the need for a miniature reference electrode, we identified and tested one commercial version (Cypress Systems, ESA Mini-reference electrode) which works well but is expensive ($190). To create an inexpensive miniature reference electrode, we are exploring the use of AgCl-coated silver wire. This electrode is not a “true” reference electrode; however, it can calibrated once versus a commercial reference electrode at the time of deployment in soil. Thus, only one commercial reference electrode would suffice to support a multiple sensor deployment.
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Meloy, John D. L51702 Precision Gas Pipeline Location-A Technology Study. Pipeline Research Council International, Inc. (PRCI), 1994. http://dx.doi.org/10.55274/r0010417.

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A review of currently used pipe-locating techniques and technologies shows a universally conservative approach to system design. Tested and proven sensors and data processors have been integrated into systems that optimize performance specifically for the pipeline-location problem. Although these systems perform well, they could be improved and augmented (that is, performance could be enhanced) by incorporating a broader sensor mix. Emerging technologies also hold promise for upgrading performance by improving, rather than changing the basic sensors. This study was undertaken to survey and evaluate the technology available to determine accurately the position of submerged or buried gas transmission pipelines, and to assess the applicability of some of the emerging technologies. The objectives are to increase accuracy and reliability while reducing the cost of surveys. This report is organized to provide an overview of the elements applicable to the problem of pipe detection, identification, and location. These elements include basic sensors and pipe-location systems made up of sensors, computers, peripherals, and data links. The report includes a qualitative comparison of both sensors and systems using a number of performance criteria. A brief description of relevant technologies that have been developed for uses other than pipeline location, as well as new and emerging technologies, is also included.
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Swanson, De Los Santos, and Miller. L51539 Improved Methods for Inspecting Gas Storage Well Downhole Casing. Pipeline Research Council International, Inc. (PRCI), 1987. http://dx.doi.org/10.55274/r0010090.

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A considerable background of prior work indicates that corrosion damaged casing in gas storage wells is largely due to the development of individual corrosion pits, which occur either on the inside or outside wall of the casing. Such pits are inevitably the result of electrochemical potentials, which are established between unlike conductive materials in an electrolyte. Damage is the result of localized loss of metal, which can be assessed in terms of the size of these individual corrosion flaws. Magnetic corrosion logging has been available for at least 25 years, but has not received wide acceptance as a basis for making intelligent repair decisions. An earlier PRCI-sponsored research study concluded that the best approach to short term improvement in the performance of current corrosion logging practice was the application of modern digital data acquisition techniques to one specific type of magnetic logging, namely, flux leakage or magnetic perturbation measurements. In this research program, experimental equipment of this type has been developed and demonstrated in conjunction with a cooperative effort with one of the logging companies (Dresser-Atlas). This equipment replaces the electronics assembly in the commercial instrument with a new package which samples each of the 12 (or 24) analog flux leakage sensor signals at a rate of either 86.8 or 173.6 samples per second, depending upon whether 24 of the sensors or only 12 are being sampled. The signals are digitized at this rate under the control of a downhole microprocessor, which formatsthe digital data into a serial bit stream and transmits it to the surface over standard logging cable. The data transmission system uses Manchester encoding and performs the data transfer at a maximum rate of 40,000 bits per second.
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Nestleroth and Alers. L51946 Enhanced Implementation of MFL Using EMAT Sensors to Detect External Coating Disbondment. Pipeline Research Council International, Inc. (PRCI), 2002. http://dx.doi.org/10.55274/r0010676.

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External coatings are used routinely to protect transmission pipelines from conditions that promote corrosion. However, over time coatings may disbond, allowing corrosion to occur. To detect metal loss due to corrosion defects, transmission pipeline operators often use magnetic flux leakage (MFL) in-line inspection tools. These tools do not detect the cause of an actual problem, i.e., failure of a coating and the presence of a corrosive environment; rather, they detect only the result, i.e., a defect that may permanently alter the pressure capacity of the pipeline. Metal loss is the most common defect that occurs at a disbond; however, it is not the only defect that can occur. Stress corrosion cracking (SCC) almost always occurs at disbonds. Information about disbonded and missing coatings, soil models, cathodic protection assessment, and related data could be used to assess a pipeline for the potential of cracking. Direct inspection of the coating could indicate potential problems that could lead to pipeline degradation that affects serviceability. SCC can be detected using in-line inspection technology, but such tools have a limited availability and limited success in natural gas pipelines, and the cost of inspection is high compared to MFL inspection. A novel method for the in-line evaluation of a protective coating on a pipeline was shown to be feasible. The method involves the merging of two technologies, magnetic flux leakage (MFL) and electromagnetic acoustic transducers (EMATs). The results of the testing performed at the Pipeline Simulation Facility showed three technical accomplishments. First, EMATs could be designed to work with the magnetic fields produced by an MFL tool, although fields 2 to 3 times greater are usually optimal for EMAT sensors. Second, the EMAT transmitter and receiver could be mounted on an MFL inspection tool without interfering with the corrosion detection sensors. Finally, the EMAT sensors as implemented on the MFL pig could detect missing coating and disbonds on wrapped tar coating. While technical issues remain that would broaden the applicability, the immediate implementation of this technology for specific coating problems is possible.
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Siebenaler, Shane. PR015-23119-R01 Leak Detection Technology for Hydrogen Gas. Pipeline Research Council International, Inc. (PRCI), 2025. https://doi.org/10.55274/r0000127.

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As pipeline operators consider the use of hydrogen in their pipeline networks, the ability to detect leaks from this infrastructure is a key operational constraint since hydrogen emissions pose several safety risks. While there is a plethora of technologies to detect methane leaks from traditional gas transmission pipelines, there are less commercially available hydrogen sensors, and pipeline operators do not have extensive experience with hydrogen detection. The planning of future hydrogen pipelines introduces a need to identify and assess technologies that could detect hydrogen. Hydrogen's chemical and physical properties present unique challenges for detection and limit the underlying sensing mechanisms for this gas. This report provides a summary of existing technologies, assesses their potential performance through available literature, and outlines a plan for closing data gaps and quantifying system performance through laboratory-scale testing. Report developed under the Emerging Fuels Institute with PRCI. Document security and set such that Only EFI members can download report
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