Relevant bibliographies by topics / Wireless sensor networks

Contents

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

Academic literature on the topic 'Wireless sensor networks'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 July 2025

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Journal articles on the topic "Wireless sensor networks"

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Navya, B., and M. Ankitha. "Wireless Sensor Networks." International Journal of Research Publication and Reviews 5, no. 3 (2024): 3875–77. http://dx.doi.org/10.55248/gengpi.5.0324.0767.

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Choi, Woo-Yong. "Combined Sweeping and Jumping Method to Enhance Node Insertion Algorithm for Wi-Fi Sensor Networks." Applied Sciences 14, no. 17 (2024): 7762. http://dx.doi.org/10.3390/app14177762.

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Two dominant driving forces for evolving communication technologies in the current society have been the proliferation of wireless access networks to the Internet and the broadbandization of access and infrastructure networks. Through these evolutions of communication technologies, high-resolution contents are instantly delivered to wireless devices such as mobile phones, wireless tablets, and headsets. Recently, wireless sensor networks, where up to 1000 low-power sensors are wirelessly connected to each other, have been created and connected to the Internet, which presents a new challenge of
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Habibi, Payman, Goran Hassanifard, Abdulbaghi Ghaderzadeh, and Arez Nosratpour. "Offering a Demand-Based Charging Method Using the GBO Algorithm and Fuzzy Logic in the WRSN for Wireless Power Transfer by UAV." Journal of Sensors 2023 (May 2, 2023): 1–19. http://dx.doi.org/10.1155/2023/6326423.

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An extremely high number of geographically dispersed, energy-limited sensor nodes make up wireless sensor networks. One of the critical difficulties with these networks is their network lifetime. Wirelessly charging the sensors continuously is one technique to lengthen the network’s lifespan. In order to compensate for the sensor nodes’ energy through a wireless medium, a mobile charger (MC) is employed in wireless sensor networks (WRSN). Designing a charging scheme that best extends the network’s lifetime in such a situation is difficult. In this paper, a demand-based charging method using un
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THATIPAMULA RAJU, THATIPAMULA RAJU, and D. DEEPIKA RANI D. DEEPIKA RANI. "Achieving Network Level Privacy in Wireless Sensor Networks." International Journal of Scientific Research 2, no. 8 (2012): 183–87. http://dx.doi.org/10.15373/22778179/aug2013/61.

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Chen, Tzung-Shi, Jen-Jee Chen, Xiang-You Gao, and Tzung-Cheng Chen. "Mobile Charging Strategy for Wireless Rechargeable Sensor Networks." Sensors 22, no. 1 (2022): 359. http://dx.doi.org/10.3390/s22010359.

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In a wireless sensor network, the sensing and data transmission for sensors will cause energy depletion, which will lead to the inability to complete the tasks. To solve this problem, wireless rechargeable sensor networks (WRSNs) have been developed to extend the lifetime of the entire network. In WRSNs, a mobile charging robot (MR) is responsible for wireless charging each sensor battery and collecting sensory data from the sensor simultaneously. Thereby, MR needs to traverse along a designed path for all sensors in the WRSNs. In this paper, dual-side charging strategies are proposed for MR t
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Varghese, Liji. "Energy Efficient Sensory Data Collection in Wireless Sensor Networks." International Journal of Science and Research (IJSR) 10, no. 6 (2021): 914–19. https://doi.org/10.21275/sr21609151823.

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Swapna, Bamuli. "Scalable Network Architectures for Distributed Wireless Sensor Networks." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 06 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem36083.

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Advances in sensor era and laptop networks have enabled allotted sensor networks (DSNs) to evolve from small clusters of large sensors to big swarms of micro sensors, from constant sensor nodes to mobile nodes, from stressed out communications to wireless communications, from static community topology to dynamically converting topology. To layout those networks, the factors needed to be considered are the coverage place, mobility, power intake, communication Skills and so on. In this study a survey is given regarding the analysis of AC structure and DHC shape, flat tree and DG community, senso
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Prof., S. R. Deshmukh*1 Prof. P. P. Chavhan2 Prof. M. M. Patil3 &. Prof. P. V. Thakare4. "APPLICATION OF WIRELESS SENSOR NETWORKS IN AGRICULTURE: A REVIEW." GLOBAL JOURNAL OF ENGINEERING SCIENCE AND RESEARCHES [NC-Rase 18] (November 13, 2018): 133–38. https://doi.org/10.5281/zenodo.1485394.

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In recent years, wireless sensor networks (WSNs) have received a lot of attention in various research areas. The useful applications of WSN begin by collecting, storing and sharing the detected data. WSN has been used for many applications such as area surveillance, health care monitoring, environmental / land detection, industrial monitoring, agriculture etc. Wireless Sensor Networks (WSNs) consists of different nodes which process and communicate the information collected from different sensors. The wireless sensor nodes send the data wirelessly to a central server, which collects the data,
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Ahmed, Ayam Tawfeek, Ahmed Noori Rashid, and Khalid Shaker. "Localization in Wireless Sensor Network." Webology 19, no. 1 (2022): 692–704. http://dx.doi.org/10.14704/web/v19i1/web19049.

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The major problems in a Wireless Sensor Networks (WSNs) is the localization problem, that relates to how an area covers by the sensor nodes. In this study, the problem formulates as the decision problem, that takes the best location for all sensors in the sensor field. Butterfly Optimization Algorithm (BOA), proposes to calculate the estimate locations for all sensors. Simulating the BOA with using number of sensors from 25 to 150 sensors and number of the anchor nodes. The distance between sensors and anchors measures by Received Signal Strength (RSS) so, this strategy is known as RSS-BOA. Th
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Chaczko, Zenon, Christopher Chiu, Shahrzad Aslanzadeh, and Toby Dune. "Sensor-Actor Network Solution for Scalable Ad-hoc Sensor Networks." International Journal of Electronics and Telecommunications 58, no. 1 (2012): 55–62. http://dx.doi.org/10.2478/v10177-012-0008-4.

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Sensor-Actor Network Solution for Scalable Ad-hoc Sensor NetworksArchitects of ad-hoc wireless Sensor-Actor Networks (SANETS) face various problems and challenges. The main limitations relate to aspects such as the number of sensor nodes involved, low bandwidth, management of resources and issues related to energy management. In order for these networks to be functionally proficient, the underlying software system must be able to effectively handle unreliable and dynamic distributed communication, power constraints of wireless devices, failure of hardware devices in hostile environments and th
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Dissertations / Theses on the topic "Wireless sensor networks"

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Yazar, Dogan. "RESTful Wireless Sensor Networks." Thesis, Uppsala University, Department of Information Technology, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-110353.

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<p>Sensor networks have diverse structures and generally employ proprietary protocols to gather useful information about the physical world. This diversity generates problems to interact with these sensors since custom APIs are needed which are tedious, error prone and have steep learning curve. In this thesis, I present RESThing, a lightweight REST framework for wireless sensor networks to ease the process of interacting with these sensors by making them accessible over the Web. I evaluate the system and show that it is feasible to support widely used and standard Web protocols in wireless se
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Tan, Hailun Computer Science &amp Engineering Faculty of Engineering UNSW. "Secure network programming in wireless sensor networks." Awarded By:University of New South Wales. Computer Science & Engineering, 2010. http://handle.unsw.edu.au/1959.4/44835.

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Network programming is one of the most important applications in Wireless Sensor Networks as It provides an efficient way to update program Images running on sensor nodes without physical access to them. Securing these updates, however, remains a challenging and important issue, given the open deployment environment of sensor nodes. Though several security schemes have been proposed to impose the authenticity and Integrity protection on network programming applications, they are either energy Inefficient as they tend to use digital signature or lacks the data confidentiality. In addition, due
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Lim, Tiong Hoo. "Dependable network protocols in wireless sensor networks." Thesis, University of York, 2013. http://etheses.whiterose.ac.uk/4903/.

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This thesis is concerned with the dependability of Wireless Sensor Networks (WSNs). We propose an approach, inspired by the immune system, that allows individual nodes to detect, diagnose and recover from different failures by switching between different protocols using a multi-modal switching mechanism. A causal link between different failures in WSN is identified. Existing fault tolerance in WSNs approaches are examined. From the survey, it is identified that various attempts have been made to improve the fault tolerance of the communication protocol especially in the routing protocols. Alth
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Chaves, Andrea, Bruno Mayoral, Hyun-Jin Park, Mark Tsang, and Sean Tunell. "Wireless Sensor Networks: A Grocery Store Application." International Foundation for Telemetering, 2008. http://hdl.handle.net/10150/606223.

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ITC/USA 2008 Conference Proceedings / The Forty-Fourth Annual International Telemetering Conference and Technical Exhibition / October 27-30, 2008 / Town and Country Resort & Convention Center, San Diego, California<br>This paper explains the development of a wireless network system implemented to streamline grocery store checkout procedures. The design employs a wireless telemetry network consisting of a base station and wireless motes (Micaz MPR2400) that will be located on certain aisles, and attached to shopping carts. This system allows customers to scan items while they shop and uses cas
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Dogru, Sedat. "Sycophant Wireless Sensor Networks Tracked By Sparsemobile Wireless Sensor Networks While Cooperativelymapping An Area." Phd thesis, METU, 2012. http://etd.lib.metu.edu.tr/upload/12615139/index.pdf.

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In this thesis the novel concept of Sycophant Wireless Sensors (SWS) is introduced. A SWS network is a static ectoparasitic clandestine sensor network mounted incognito on a mobile agent using only the agent&rsquo<br>s mobility without intervention. SWS networks not only communicate with each other through mobileWireless Sensor Networks (WSN) but also cooperate with them to form a global hybrid Wireless Sensor Network. Such a hybrid network has its own problems and opportunities, some of which have been studied in this thesis work. Assuming that direct position measurements are not always fea
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Sevgi, Cuneyt. "Network Dimensioning In Randomly Deployed Wireless Sensor Networks." Phd thesis, METU, 2009. http://etd.lib.metu.edu.tr/upload/2/12611213/index.pdf.

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In this study, we considered a heterogeneous, clustered WSN, which consists of two types of nodes (clusterheads and sensor nodes) deployed randomly over a sensing field. We investigated two cases based on how clusterheads can reach the sink: direct and multi-hop communication cases. Network dimensioning problems in randomly deployed WSNs are among the most challenging ones as the attributes of these networks are mostly non-deterministic. We focused on a number of network dimensioning problems based on the connected coverage concept, which is the degree of coverage achieved by only the connecte
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Yuan, Fenghua. "Lightweight network management design for wireless sensor networks." Online access for everyone, 2007. http://www.dissertations.wsu.edu/Thesis/Fall2007/F_Yuan_081307.pdf.

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Karaaslan, Ibrahim. "Anti-sensor Network: Distortion-based Distributed Attack In Wireless Sensor Networks." Master's thesis, METU, 2008. http://etd.lib.metu.edu.tr/upload/3/12609276/index.pdf.

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In this thesis, a novel anti-sensor network paradigm is introduced against wireless sensor networks (WSN). Anti-sensor network (ASN) aims to destroy application reliability by adaptively and anonymously introducing adequate level of artificial distortion into the communication of the event features transported from the sensor nodes (SN) to the sink. ASN is composed of anti-sensor nodes (aSN) randomly distributed over the sensor network field. aSNs pretend to be SNs tomaintain anonymity and so improve resiliency against attack detection and prevention mechanisms. Performance evaluations via mat
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Chraibi, Youssef. "Localization in Wireless Sensor Networks." Thesis, KTH, Reglerteknik, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-107528.

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Similar to many technological developments, wireless sensor networks have emerged from military needs and found its way into civil applications. Today, wireless sensor networks has become a key technology for different types of ”smart environments”, and an intense research effort is currently underway to enable the application of wireless sensor networks for a wide rangeof industrial problems. Wireless networks are of particular importance whena large number of sensor nodes have to be deployed, and/or in hazardous situations. Localization is important when there is an uncertainty of the exact lo
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Cao, Hui. "Stabilization in wireless sensor networks." Columbus, Ohio : Ohio State University, 2008. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1211079872.

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Books on the topic "Wireless sensor networks"

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Cui, Li, and Xiaolan Xie, eds. Wireless Sensor Networks. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-8174-5.

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Selmic, Rastko R., Vir V. Phoha, and Abdul Serwadda. Wireless Sensor Networks. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46769-6.

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Silva, Jorge Sá, Bhaskar Krishnamachari, and Fernando Boavida, eds. Wireless Sensor Networks. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-11917-0.

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Shen, Shikai, Kaiguo Qian, Shaojun Yu, and Wu Wang, eds. Wireless Sensor Networks. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-6834-9.

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Picco, Gian Pietro, and Wendi Heinzelman, eds. Wireless Sensor Networks. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-28169-3.

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Akyildiz, Ian F., and Mehmet Can Vuran. Wireless Sensor Networks. John Wiley & Sons, Ltd, 2010. http://dx.doi.org/10.1002/9780470515181.

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Yang, Shuang-Hua. Wireless Sensor Networks. Springer London, 2014. http://dx.doi.org/10.1007/978-1-4471-5505-8.

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Krishnamachari, Bhaskar, Amy L. Murphy, and Niki Trigoni, eds. Wireless Sensor Networks. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-04651-8.

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Guo, Songtao, Kai Liu, Chao Chen, and Hongyu Huang, eds. Wireless Sensor Networks. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-15-1785-3.

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Fahmy, Hossam Mahmoud Ahmad. Wireless Sensor Networks. Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-0412-4.

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Book chapters on the topic "Wireless sensor networks"

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Higgins, Henry. "Wireless Communication." In Body Sensor Networks. Springer London, 2014. http://dx.doi.org/10.1007/978-1-4471-6374-9_4.

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Fong, David Y. "WIRELESS SENSOR NETWORKS." In Internet of Things and Data Analytics Handbook. John Wiley & Sons, Inc., 2016. http://dx.doi.org/10.1002/9781119173601.ch12.

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Buratti, Chiara, Marco Martalò, Roberto Verdone, and Gianluigi Ferrari. "Wireless Sensor Networks." In Signals and Communication Technology. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-17490-2_1.

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Lazarescu, Mihai Teodor, and Luciano Lavagno. "Wireless Sensor Networks." In Handbook of Hardware/Software Codesign. Springer Netherlands, 2017. http://dx.doi.org/10.1007/978-94-017-7267-9_38.

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Lazarescu, Mihai Teodor, and Luciano Lavagno. "Wireless Sensor Networks." In Handbook of Hardware/Software Codesign. Springer Netherlands, 2016. http://dx.doi.org/10.1007/978-94-017-7358-4_38-1.

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Öztürk, Yusuf. "Wireless Sensor Networks." In Studies in Computational Intelligence. Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-44910-2_3.

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Kale, Vivek. "Wireless Sensor Networks." In Agile Network Businesses. Auerbach Publications, 2017. http://dx.doi.org/10.4324/9781315368559-22.

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Thirupathi Rao, N., Eali Stephen Neal Joshua, and Debnath Bhattacharyya. "Wireless Sensor Networks." In Advanced Wireless Communication and Sensor Networks. Chapman and Hall/CRC, 2023. http://dx.doi.org/10.1201/9781003326205-10.

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Rodríguez, Ciro, and Isabel Moscol. "Wireless Sensor Networks." In Advanced Wireless Communication and Sensor Networks. Chapman and Hall/CRC, 2023. http://dx.doi.org/10.1201/9781003326205-15.

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Jin, Miao, Xianfeng Gu, Ying He, and Yalin Wang. "Wireless Sensor Networks." In Conformal Geometry. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-75332-4_10.

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Conference papers on the topic "Wireless sensor networks"

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Guan, Shan, Brett M. Tossey, and Francois Ayello. "Assessing Pipe Integrity Using Wireless Sensor Networks and Bayesian Network Modelling." In CORROSION 2019. NACE International, 2019. https://doi.org/10.5006/c2019-13036.

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Abstract The power generation industry is seeking solutions to prevent failures in high energy piping systems including main steam and hot reheat steam pipelines. A thorough review of prior failures in these systems has shown that 60-70% of all failures can be attributed to hanger and strain monitoring systems not performing within specification for extended periods of times (typically 1-5 years). The typical failure mode has been creep in seam welds. The consequence of failure for high energy piping can be severe and the effect of unexpected or unknown displacements cannot be quantified when
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Ayello, Francois, Davion Hill, Stefan Marion, and Narasi Sridhar. "Integrated Sensor Networks for Corrosion under Insulation: Monitoring, Cost Reduction, and Life Extension Strategies." In CORROSION 2011. NACE International, 2011. https://doi.org/10.5006/c2011-11281.

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Abstract System health assessment using sensor networks has been used in the past to detect the presence of corrosion under insulation (CUI) and coatings. Corrosion sensors placed under insulation offer a replacement or alternative to inspections, especially if implemented at a cost savings. If installed during the early project design stage, sensor networks can greatly reduce the need for inspection and unexpected replacement costs. This paper shows three different techniques to detect the presence of moisture and its corrosiveness. The techniques are: direct impedance measurement, the combin
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Priya, Shashank, Dan Popa, and Frank Lewis. "Energy Efficient Mobile Wireless Sensor Networks." In ASME 2006 International Mechanical Engineering Congress and Exposition. ASMEDC, 2006. http://dx.doi.org/10.1115/imece2006-14078.

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Wireless sensor networks (WSN) have tremendous potential in many environmental and structural health monitoring applications including, gas, temperature, pressure and humidity monitoring, motion detection, and hazardous materials detection. Recent advances in CMOS-technology, IC manufacturing, and networking utilizing Bluetooth communications have brought down the total power requirements of wireless sensor nodes to as low as a few hundred microwatts. Such nodes can be used in future dense ad-hoc networks by transmitting data 1 to 10 meters away. For communication outside 10 meter ranges, data
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Kaur, Harminder, and Sharvan Kumar Pahuja. "MAC Protocols for Wireless Body Sensor Network." In International Conference on Women Researchers in Electronics and Computing. AIJR Publisher, 2021. http://dx.doi.org/10.21467/proceedings.114.33.

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Wireless Body Area Networks, also known as the Wireless Body Sensor Networks, provides the monitoring of the health parameters in remote areas and where the medical facility is not available. Wireless Body Sensor Networks contains the body or placement of the sensors on body for measuring the medical and non-medical parameters. These networks share the wireless medium for the transmission of the data from one place to another. So the design of Medium Access Control is a challenging task for the WBSNs due to wireless media for less energy consumption and mobility. Various MAC protocols are desi
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ŠILJAK, HARUN, and BISWAJIT BASU. "NATURAL SYNCHRONIZATION OF WIRELESS SENSOR NETWORKS FOR STRUCTURAL HEALTH MONITORING." In Structural Health Monitoring 2021. Destech Publications, Inc., 2022. http://dx.doi.org/10.12783/shm2021/36278.

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Time synchronization in communication networks is a common issue: in a sensor network it means that the order of data samples becomes uncertain, which can make it unusable. Dedicated signals and schemes for synchronization of sensor networks has hence been a well-researched topic for decades. Here we bring in an approach to synchronization which uses the sensory data. Drawing inspiration from sensor time synchronization using environmental noise, we consider synchronizing sensory nodes for structural health monitoring–if the physical quantity the sensors measure is correlated, propagating as a
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Xue, Xin, Luis Gonzalez-Argueta, and V. Sundararajan. "Energy Scavenging for Wireless Sensor Networks." In ASME 2007 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/detc2007-35829.

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Conventional condition monitoring of electrical machinery is conducted by measuring signals such as currents and vibrations outside the motor. Wireless sensors now provide a means of accessing and measuring useful signals inside the motor where the phenomena responsible for failure occur. These sensors are capable of not merely sensing, but also processing, storage and eventually communication. Since all these activities require power that is supplied conventionally by batteries, the useful life of the sensor node is limited by the life of the battery. This paper describes the design of an ene
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Sundararajan, V., Andrew Redfern, Michael Schneider, Paul Wright, and James Evans. "Wireless Sensor Networks for Machinery Monitoring." In ASME 2005 International Mechanical Engineering Congress and Exposition. ASMEDC, 2005. http://dx.doi.org/10.1115/imece2005-82224.

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Wireless sensor networks (WSNs) are currently been actively investigated in the research community on account of their unprecedented spatial density of sensors, local computational plus storage capacity, and potential for distributed and fault-tolerant monitoring. Today, they are mainly deployed for environmental monitoring - e.g. for “smart building” control, water quality monitoring, and botanical studies. In the future, it is clear they have a huge potential for industrial applications such as machinery monitoring, shop instrumentation, and process control. Wireless sensor nodes can be moun
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Wen, Yao-Jung, Alice M. Agogino, and Kai Goebel. "Fuzzy Validation and Fusion for Wireless Sensor Networks." In ASME 2004 International Mechanical Engineering Congress and Exposition. ASMEDC, 2004. http://dx.doi.org/10.1115/imece2004-60964.

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Miniaturized, distributed, networked sensors — called motes — promise to be smaller, less expensive and more versatile than other sensing alternatives. While these motes may have less individual reliability, high accuracy for the overall system is still desirable. Sensor validation and fusion algorithms provide a mechanism to extract pertinent information from massively sensed data and identify incipient sensor failures. Fuzzy approaches have proven to be effective and robust in challenging sensor validation and fusion applications. The algorithm developed in this paper — called mote-FVF (fuzz
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Medenica, Igor, Miloš Jovanović, Slobodan Subotić, and Dragan Lazić. "Implementation of ZigBee technology in the process of sensor calibration in wireless sensor network systems." In 11th International Scientific Conference on Defensive Technologies - OTEX 2024. Military Technical Institute, Belgrade, 2024. http://dx.doi.org/10.5937/oteh24120m.

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The compatibility of sensor functionality requires periodic calibration in an accredited laboratory. The calibration process involves temporarily disconnecting the sensor from operation, performing necessary preparations, and determining the sensor's condition. As a solution to improving the calibration process, the use of mesh networks is presented to avoid disconnecting sensors from active states. Using ZigBee technology, all sensors are represented through nodes with specific functions in the network. Information exchange occurs wirelessly among all nodes in the network, which are involved
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BARKA, Kamel, Lyamine GUEZOULI, and Assem REZKI. "UAV’s enhanced data collection for heterogeneous wireless sensor networks." In International Conference on Mechanical, Automotive and Mechatronics Engineering. ECER, 2023. http://dx.doi.org/10.53375/icmame.2023.253.

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In this article, we propose a protocol called DataGA-DRF (a protocol for Data collection using a Genetic Algorithm through Dynamic Reference Points) that collects data from Heterogeneous wireless sensor networks. This protocol is based on DGA (Destination selection according to Genetic Algorithm) to control the movement of the UAV (Unmanned aerial vehicle) between dynamic reference points that virtually represent the sensor node deployment. The dynamics of these points ensure an even distribution of energy consumption among the sensors and also improve network performance. To determine the bes
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Reports on the topic "Wireless sensor networks"

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Lee, A. P., C. F. McConaghy, J. N. Simon, W. Benett, L. Jones, and J. Trevino. Sensor modules for wireless distributed sensor networks. Office of Scientific and Technical Information (OSTI), 1999. http://dx.doi.org/10.2172/15005723.

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Raghavendra, Cauligi S., and Viktor K. Prasanna. Distributed Signal Processing in Wireless Sensor Networks. Defense Technical Information Center, 2005. http://dx.doi.org/10.21236/ada437824.

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Berry, Nina M., and Teresa H. Ko. On computer vision in wireless sensor networks. Office of Scientific and Technical Information (OSTI), 2004. http://dx.doi.org/10.2172/919195.

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Davis, William B. Graphical Model Theory for Wireless Sensor Networks. Office of Scientific and Technical Information (OSTI), 2002. http://dx.doi.org/10.2172/833692.

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Stephenson, Andrew J. Sinkhole Avoidance Routing in Wireless Sensor Networks. Defense Technical Information Center, 2011. http://dx.doi.org/10.21236/ada554671.

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Liu, Donggang. Secure and Robust Clustering in Wireless Sensor Networks. Defense Technical Information Center, 2008. http://dx.doi.org/10.21236/ada500585.

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Cybenko, George, Dorothy Gramm, and Walter Gramm. Instrumentation for Wireless Agent Networks and Sensor Webs. Defense Technical Information Center, 2001. http://dx.doi.org/10.21236/ada405520.

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Liang, Qilian. Energy Efficient Wireless Sensor Networks Using Fuzzy Logic. Defense Technical Information Center, 2005. http://dx.doi.org/10.21236/ada434605.

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Liang, Qilian. Energy Efficient Wireless Sensor Networks Using Fuzzy Logic. Defense Technical Information Center, 2003. http://dx.doi.org/10.21236/ada419061.

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Liang, Qilian. Energy Efficient Wireless Sensor Networks Using Fuzzy Logic. Defense Technical Information Center, 2004. http://dx.doi.org/10.21236/ada423016.

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