Gotowe bibliografie tematyczne / Energy Harvesting Sensor Network

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Gotowa bibliografia na temat „Energy Harvesting Sensor Network”

Autor: Grafiati

Data publikacji: 3 czerwca 2025

Data aktualizacji: 31 lipca 2025

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Artykuły w czasopismach na temat "Energy Harvesting Sensor Network"

Lee, Chao Yang, and Chu Sing Yang. "Perpetual Topology Control in Energy Harvesting Sensor Network." Applied Mechanics and Materials 556-562 (May 2014): 2487–91. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.2487.

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Harvesting ambient energy to power Wireless Sensor Networks (WSNs) is a promising approach. However, due to low recharging rates and the dynamics of renewable energy, energy harvesting sensors are unable to provide sufficient energy for sustained operation. This work designs a novel perpetual topology control that can enhance the energy efficiency and prolong network lifetime in energy harvesting sensor network. The proposed perpetual topology control (PTC) algorithm aims to ensure WSN sustainability and make the harvesting ambient energy usefully. Experimental results demonstrate the superior

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Liu, Fen, Wendong Xiao, Shuai Chen, and Chengpeng Jiang. "Adaptive Dynamic Programming-Based Multi-Sensor Scheduling for Collaborative Target Tracking in Energy Harvesting Wireless Sensor Networks." Sensors 18, no. 12 (2018): 4090. http://dx.doi.org/10.3390/s18124090.

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Collaborative target tracking is one of the most important applications of wireless sensor networks (WSNs), in which the network must rely on sensor scheduling to balance the tracking accuracy and energy consumption, due to the limited network resources for sensing, communication, and computation. With the recent development of energy acquisition technologies, the building of WSNs based on energy harvesting has become possible to overcome the limitation of battery energy in WSNs, where theoretically the lifetime of the network could be extended to infinite. However, energy-harvesting WSNs pose

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Sutapa, Sarkar Bhavani.V I.Hameem Shanavas V.Nallusamy. "ENERGY HARVESTING METHOD IN WIRELESS SENSOR NETWORK." International Journal of Education (IJE), Vol. 1, No. 1, December 2013 1, no. 1 (2019): 01–08. https://doi.org/10.5281/zenodo.3257076.

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With the advent of modern micro mechanical system technology and wireless communication wireless sensor networks are finding a lot of application in modern day life. The design of the sensor network depends on the specific application. This paper gives a description of the components of the wireless sensor nodes used. It also describes how the lifetime of a wireless sensor network can be increased by the use of energy harvesting sensor nodes.

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Getahun, Masresha, M. Azath, Durga Prasad Sharma, Amin Tuni, and Abel Adane. "Efficient Energy Utilization Algorithm through Energy Harvesting for Heterogeneous Clustered Wireless Sensor Network." Wireless Communications and Mobile Computing 2022 (April 4, 2022): 1–17. http://dx.doi.org/10.1155/2022/4154742.

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The usefulness of wireless sensor networks has fascinated the world’s attention. Usage of low-power microcontrollers and wireless sensors to handle real-world problems such as environmental, medicinal, and structural monitoring has exploded. Wireless sensor nodes are extremely tiny and are designed for low-duty applications such as recording physical characteristics. Wireless sensor network operations such as sensing, calculations, and communication take extensively more energy than these low-powered sensor nodes. They are used both in attainable and inaccessible areas and are usually powered

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Thabit, Ahmed A., Mahmoud Shuker Mahmoud, Ahmed Alkhayyat, and Qammer H. Abbasi. "Energy harvesting Internet of Things health-based paradigm: Towards outage probability reduction through inter–wireless body area network cooperation." International Journal of Distributed Sensor Networks 15, no. 10 (2019): 155014771987987. http://dx.doi.org/10.1177/1550147719879870.

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In today’s healthcare environment, the Internet of Things technology provides suitability among physicians and patients, as it is valuable in numerous medicinal fields. Wireless body sensor network technologies are essential technologies in the growth of Internet of Things healthcare paradigm, where every patient is monitored utilising small-powered and lightweight sensor nodes. A dual-hop, inter–wireless body sensor network cooperation and an incremental inter–wireless body sensor network cooperation with energy harvesting in the Internet of Things health-based paradigm have been investigated

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Yakine, Fadoua, and Adil Kenzi. "Energy Harvesting in wireless communication: A survey." E3S Web of Conferences 336 (2022): 00074. http://dx.doi.org/10.1051/e3sconf/202233600074.

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Wireless Sensor Network is an emerging technology that has the potential to be used in futuristic applications. Sensor nodes are energy-constrained. They rely on batteries with limited capacity which impact their lifetime or mobility. To address this problem, energy harvesting technology is a solution that aims to avoid the premature energy depletion of nodes. It recharges their batteries using an energy harvesting system from the environment. In this review work, we present the concept of energy harvesting technology (EH) and Energy-Harvesting for Wireless Sensor Network (EH-WSN). We then dis

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Fan, Zuzhi, and Xiaoli Liu. "Energy Synchronized Transmission Control for Energy-harvesting Sensor Networks." International Journal of Computers Communications & Control 11, no. 2 (2016): 194. http://dx.doi.org/10.15837/ijccc.2016.2.2049.

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Energy harvesting and recharging techniques have been regarded as a promising solution to ensure sustained operations of wireless sensor networks for longterm applications. To deal with the diversity of energy harvesting and constrained energy storage capability, sensor nodes in such applications usually work in a duty-cycled mode. Consequently, the sleep latency brought by duty-cycled operation is becoming the main challenge. In this work, we study the energy synchronization control problem for such sustainable sensor networks. Intuitively, energy-rich nodes can increase their transmission po

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Kaur, Pardeep, Preeti Singh, and Balwinder S. Sohi. "Traffic Models for Energy Harvesting Based Wireless Sensor Networks." Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering) 13, no. 2 (2020): 219–26. http://dx.doi.org/10.2174/1872212113666190306145721.

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Background: Energy consumption is an important parameter in wireless sensor networks since it affects the lifetime of sensor nodes. Methods: Battery powered wireless sensor networks cannot sustain for long hence impractical for real-time applications. With energy harvesting and relevant protocols, this issue of extending the lifetime of nodes has been solved largely. The performance can be enhanced further if proper traffic analysis and modeling are done as a proactive approach. Results: A proper understanding of the traffic dynamics provides a base for further network optimization and detecti

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Zareei, Mahdi, Cesar Vargas-Rosales, Mohammad Hossein Anisi, et al. "Enhancing the Performance of Energy Harvesting Sensor Networks for Environmental Monitoring Applications." Energies 12, no. 14 (2019): 2794. http://dx.doi.org/10.3390/en12142794.

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Fast development in hardware miniaturization and massive production of sensors make them cost efficient and vastly available to be used in various applications in our daily life more specially in environment monitoring applications. However, energy consumption is still one of the barriers slowing down the development of several applications. Slow development in battery technology, makes energy harvesting (EH) as a prime candidate to eliminate the sensor’s energy barrier. EH sensors can be the solution to enabling future applications that would be extremely costly using conventional battery-pow

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Ijemaru, Gerald K., Kenneth Li-Minn Ang, and Jasmine KP Seng. "Wireless power transfer and energy harvesting in distributed sensor networks: Survey, opportunities, and challenges." International Journal of Distributed Sensor Networks 18, no. 3 (2022): 155014772110677. http://dx.doi.org/10.1177/15501477211067740.

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Distributed sensor networks have emerged as part of the advancements in sensing and wireless technologies and currently support several applications, including continuous environmental monitoring, surveillance, tracking, and so on which are running in wireless sensor network environments, and large-scale wireless sensor network multimedia applications that require large amounts of data transmission to an access point. However, these applications are often hampered because sensor nodes are energy-constrained, low-powered, with limited operational lifetime and low processing and limited power-st

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Rozprawy doktorskie na temat "Energy Harvesting Sensor Network"

Tan, Wilson M. "Noise-sensing energy-harvesting wireless sensor network nodes." Thesis, University of Warwick, 2016. http://wrap.warwick.ac.uk/79557/.

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Noise pollution is becoming an increasing concern in many urban regions all over the world. An important step in fighting and mitigating noise pollution is its quantification. Wireless sensor networks (WSNs) can potentially help with these efforts, as they enable the simultaneous and continuous gathering of data over wide geographic regions. The need to replace batteries however makes the maintenance of such physically very large networks impractical. As an alternative to batteries, noise-sensing WSNs could also be powered by energy harvesting. While energy-harvesting WSNs have been demonstrat

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Zheng, Chenyu. "Ultra-low power energy harvesting wireless sensor network design." Thesis, Kansas State University, 2014. http://hdl.handle.net/2097/18812.

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Master of Science<br>Department of Electrical and Computer Engineering<br>William B. Kuhn and Balasubramaniam Natarajan<br>This thesis presents an energy harvesting wireless sensor network (EHWSN) architecture customized for use within a space suit. The contribution of this research spans both physical (PHY) layer energy harvesting transceiver design and appropriate medium access control (MAC) layer solutions. The EHWSN architecture consists of a star topology with two types of transceiver nodes: a powered Gateway Radio (GR) node and multiple energy harvesting (EH) Bio-Sensor Radio (BSR) nodes

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Persson, Erik. "Energy Harvesting in Wireless Sensor Networks." Thesis, Uppsala universitet, Signaler och System, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-388006.

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Over the past few years, the interest of remote wireless sensor networks has increased with the growth of Internet of Things technology. The wireless sensor network applications vary from tracking animal movement to controlling small electrical devices. Wireless sensors deployed in remote areas where the grid is unavailable are normally powered by batteries, inducing a limited lifespan for the sensor. This thesis work presents a solution to implement solar energy harvesting to a wireless sensor network. By gathering energy from the environment and using it in conjunction with an energy storage

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Didioui, Amine. "Energy-aware transceiver for energy harvesting wireless sensor networks." Thesis, Rennes 1, 2014. http://www.theses.fr/2014REN1S056/document.

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Les progrès technologiques accomplis durant ces dernières décennies dans les domaines des microsystèmes et des radiocommunications nous permettent de réaliser des composants communicants miniaturisés à faible coût afin de constituer des réseaux de capteurs sans fil. Typiquement, chacun de ces composants intègre une ou plusieurs unités de mesures (capteur), une unité de traitement de données, une unité de communication radio et une batterie. De ce fait, un nouveau domaine de recherche s’est créé pour étudier le déploiement de ces réseaux afin d’offrir des solutions de surveillance et de contrôl

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Zordan, Davide. "Compression vs Transmission Tradeoffs for Energy Harvesting Sensor Networks." Doctoral thesis, Università degli studi di Padova, 2014. http://hdl.handle.net/11577/3423807.

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The operation of Energy Harvesting Wireless Sensor Networks (EHWSNs) is a very lively area of research. This is due to the increasing inclination toward green systems, in order to reduce the energy consumption of human activities at large and to the desire of designing networks that can last unattended indefinitely (see, e.g., the nodes employed in Wireless Sensor Networks, WSNs). Notably, despite recent technological advances, batteries are expected to last for less than ten years for many applications and their replacement is often prohibitively expensive. This problem is particularly severe

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Golfarelli, Maurizio. "Progettazione di Energy Harvesting solare per l'autonomia energetica di una Wireless Sensor Network." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021. http://amslaurea.unibo.it/24207/.

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In agricoltura, il controllo delle condizioni del raccolto prevede un frequente intervento manuale, che richiede tempo e manodopera. Con l’avvento dell’Internet of Things (IoT) e l’utilizzo delle Wireless Sensor Network (WSN) è stato però possibile automatizzare le procedure di controllo della crescita dei frutti ed inviare le informazioni raccolte (come lo stato di maturità o i livelli di umidità e insolazione del terreno) tramite comunicazioni wireless. Ciò consente di ridurre i costi di manodopera e migliorare la qualità del raccolto grazie ad una maggiore precisione dei dati ottenuti. Le

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Sim, Zhi Wei. "Radio frequency energy harvesting for embedded sensor networks in the natural environment." Thesis, University of Manchester, 2012. https://www.research.manchester.ac.uk/portal/en/theses/radio-frequency-energy-harvesting-for-embedded-sensor-networks-in-the-natural-environment(b0f3db83-8a82-4376-841b-d79bcd0d16ae).html.

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The agricultural sector is an emerging application area for Wireless Sensor Networks (WSNs). This requires sensor nodes to be deployed in the outdoor environment so as to monitor pertinent natural features, such as soil condition or pest infestation. Limited energy supply and subsequent battery replacement are common issues for these agricultural sensor nodes. One possible solution is to use energy harvesting, where the ambient energy is extracted and converted into usable electrical form to energise the wireless sensors. The work presented in this thesis investigates the feasibility of using

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Wang, Jinhua. "A Wide Input Power Line Energy Harvesting Circuit For Wireless Sensor Nodes." Thesis, Virginia Tech, 2021. http://hdl.handle.net/10919/103426.

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Massive deployment of wireless IoT (Internet of Things) devices makes replacement or recharge of batteries expensive and impractical for some applications. Energy harvesting is a promising solution, and various designs are proposed to harvest power from ambient resources including thermal, vibrational, solar, wind, and RF sources. Among these ambient resources, AC powerlines are a stable energy source in an urban environment. Many researchers investigated methods to exploit this stable source of energy to power wireless IoT devices. The proposed circuit aims to harvest energy from AC power

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Li, Zhitan. "The Optimization of Solar Energy Harvesting in WSN." Thesis, Mittuniversitetet, Avdelningen för elektronikkonstruktion, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-35560.

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In recent year, wireless sensor networks have gradually become an indispensable part of people's daily lives. Energy consumption and energy harvesting play an important role in these systems. In outdoor, there is no doubt that solar energy is more suitable to powering the wireless sensor nodes. Although the energy consumption of these systems has been greatly reduced and the lifetime of sensor nodes also be improved through the larger capacity of supercapacitor or larger size of solar panel. But it will generate another kind of squander, how to choose a suitable solar panel and supercapacitor

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Berbakov, Lazar. "Collaborative beamforming schemes for wireless sensor networks with energy harvesting capabilities." Doctoral thesis, Universitat Politècnica de Catalunya, 2013. http://hdl.handle.net/10803/128966.

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In recent years, wireless sensor networks have attracted considerable attention in the research community. Their development, induced by technological advances in microelectronics, wireless networking and battery fabrication, is mainly motivated by a large number of possible applications such as environmental monitoring, industrial process control, goods tracking, healthcare applications, to name a few. Due to the unattended nature of wireless sensor networks, battery replacement can be either too costly or simply not feasible. In order to cope with this problem and prolong the network lifet

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Książki na temat "Energy Harvesting Sensor Network"

Zaman, Noor, Vasaki Ponnusamy, Tang Jung Low, and Anang Hudaya Muhamad Amin. Biologically-inspired energy harvesting through wireless sensor technologies. Information Science Reference, 2016.

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Zhang, Deyu, Zhigang Chen, Haibo Zhou, and Xuemin Shen. Resource Management for Energy and Spectrum Harvesting Sensor Networks. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-53771-9.

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Roundy, Shad. Energy scavenging for wireless sensor networks: With special focus on vibrations. Kluwer Academic Publishers, 2004.

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Ylli, Klevis, and Yiannos Manoli. Energy Harvesting for Wearable Sensor Systems. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-4448-8.

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Agency, International Atomic Energy, ed. Web harvesting for nuclear knowledge preservation. International Atomic Energy Agency, 2008.

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Agency, International Atomic Energy, ed. Web harvesting for nuclear knowledge preservation. International Atomic Energy Agency, 2008.

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Agency, International Atomic Energy, ed. Web harvesting for nuclear knowledge preservation. International Atomic Energy Agency, 2008.

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Agency, International Atomic Energy, ed. Web harvesting for nuclear knowledge preservation. International Atomic Energy Agency, 2008.

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Kanoun, Olfa, ed. Energy Harvesting for Wireless Sensor Networks. De Gruyter Oldenbourg, 2019. http://dx.doi.org/10.1515/9783110445053.

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Energy Harvesting Autonomous Sensor Systems. CRC Press, 2013.

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Części książek na temat "Energy Harvesting Sensor Network"

Lata, Sonam, and Shabana Mehfuz. "Efficient Ambient Energy-Harvesting Sources with Potential for IoT and Wireless Sensor Network Applications." In Energy Harvesting. Chapman and Hall/CRC, 2022. http://dx.doi.org/10.1201/9781003218760-2.

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Yeatman, Eric, and Paul Mitcheson. "Energy Harvesting and Power Delivery." In Body Sensor Networks. Springer London, 2014. http://dx.doi.org/10.1007/978-1-4471-6374-9_6.

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Wu, Weili, Zhao Zhang, Wonjun Lee, and Ding-Zhu Du. "Energy-Harvesting Sensors." In Optimal Coverage in Wireless Sensor Networks. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-52824-9_16.

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Haase, Jan, Joseph Wenninger, Christoph Grimm, and Jiong Ou. "Simulation of Ultra-Low Power Sensor Networks." In Energy Harvesting Systems. Springer New York, 2010. http://dx.doi.org/10.1007/978-1-4419-7566-9_3.

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Hörmann, Leander B., Julian Karoliny, and Philipp Peterseil. "Solar-Based Energy Harvesting and Low-Power Wireless Networks." In Intelligent Secure Trustable Things. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-54049-3_14.

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AbstractIn modern industrial applications, machines and facilities, more and more sensors are used to control and optimise the processes. To be flexible and reduce cost, wireless sensors can be used in a broad range of applications. To prevent regular battery replacement, there is the possibility to supply wireless sensors by energy harvesting. In this chapter, we investigate the possibility to use solar-based energy harvesting to supply wireless sensors. For this, we consider four wireless network protocols and evaluate the power consumption using a simple sensor use case with different commu

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Zhang, Deyu. "Energy Harvesting Cognitive Radio Sensor Networks." In Encyclopedia of Wireless Networks. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-319-78262-1_208.

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Zhang, Deyu. "Energy Harvesting Cognitive Radio Sensor Networks." In Encyclopedia of Wireless Networks. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-32903-1_208-1.

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Morita, Tatsuya, Masashi Fujiwara, Yutaka Arakawa, Hirohiko Suwa, and Keiichi Yasumoto. "Energy Harvesting Sensor Node Toward Zero Energy In-Network Sensor Data Processing." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-90740-6_13.

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Jumira, Oswald, and Sherali Zeadally. "Energy Harvesting in Wireless Sensor Networks." In Energy Efficiency in Wireless Networks. John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118579954.ch4.

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Basagni, Stefano, M. Yousof Naderi, Chiara Petrioli, and Dora Spenza. "Wireless Sensor Networks with Energy Harvesting." In Mobile Ad Hoc Networking. John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118511305.ch20.

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Streszczenia konferencji na temat "Energy Harvesting Sensor Network"

Nwazor, Nkolika O., Justice C. Erowele, Remigius O. Okeke, Ekene S. Mbonu, and Otelemate M. Horsfall. "Energy Optimization of Wireless Body Area Network(WBAN) Using TDMA Duty Cycling and Thermal Energy Harvesting." In Africa International Conference on Clean Energy and Energy Storage. Trans Tech Publications Ltd, 2025. https://doi.org/10.4028/p-1wcg7x.

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Energy harvesting is an effective technique for optimizing Wireless Body Area Network (WBAN) devices used for continuous healthcare services delivery. Despite the growing popularity of WBANs in recent years due to their potential to transform healthcare, energy consumption remains a critical issue. This is due to several factors such as the limited capacity of batteries in smaller sensor nodes, the continuous operation that drains batteries and renders the nodes inoperable, and the impracticality of replacing batteries in situations where the sensors are implanted in the human body and would r

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Gao, Hao, Peter Baltus, Reza Mahmoudi, and Arthur van Roermund. "2.4GHz energy harvesting for wireless sensor network." In 2011 IEEE Topical Conference on Wireless Sensors and Sensor Networks (WiSNet). IEEE, 2011. http://dx.doi.org/10.1109/wisnet.2011.5725019.

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Adkins, Joshua, Bradford Campbell, Branden Ghena, Neal Jackson, Pat Pannuto, and Prabal Dutta. "Energy Isolation Required for Multi-tenant Energy Harvesting Platforms." In SenSys '17: The 15th ACM Conference on Embedded Network Sensor Systems. ACM, 2017. http://dx.doi.org/10.1145/3142992.3142995.

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Jiang, Teng, Geoff V. Merrett, and Nick R. Harris. "Enabling opportunistic energy trading between overlapping energy harvesting wireless sensor networks." In SenSys '14: The 12th ACM Conference on Embedded Network Sensor Systems. ACM, 2014. http://dx.doi.org/10.1145/2675683.2675688.

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Rodriguez Arreola, Alberto, Domenico Balsamo, Anup K. Das, et al. "Approaches to Transient Computing for Energy Harvesting Systems." In SenSys '15: The 13th ACM Conference on Embedded Network Sensor Systems. ACM, 2015. http://dx.doi.org/10.1145/2820645.2820652.

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Tran, Vu H., Archan Misra, Jie Xiong, and Nipuni Hirunima. "Can WiFi Beamforming Support an Energy-Harvesting Wearable?" In SenSys '17: The 15th ACM Conference on Embedded Network Sensor Systems. ACM, 2017. http://dx.doi.org/10.1145/3142992.3142997.

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Chen, Tingjun, Gregory Chen, Saahil Jain, et al. "Power-Aware Neighbor Discovery for Energy Harvesting Things." In SenSys '16: The 14th ACM Conference on Embedded Network Sensor Systems. ACM, 2016. http://dx.doi.org/10.1145/2994551.2996538.

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Tapparello, Cristiano, Hoda Ayatollahi, and Wendi Heinzelman. "Energy harvesting framework for network simulator 3 (ns-3)." In SenSys '14: The 12th ACM Conference on Embedded Network Sensor Systems. ACM, 2014. http://dx.doi.org/10.1145/2675683.2675685.

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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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Behrens, S., and J. Davidson. "Energy harvesting for sensor networks." In 2008 17th IEEE International Symposium on the Applications of Ferroelectrics (ISAF). IEEE, 2008. http://dx.doi.org/10.1109/isaf.2008.4693942.

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Raporty organizacyjne na temat "Energy Harvesting Sensor Network"

Park, G., C. R. Farrar, M. D. Todd, T. Hodgkiss, and T. Rosing. Energy Harvesting for Structural Health Monitoring Sensor Networks. Office of Scientific and Technical Information (OSTI), 2007. http://dx.doi.org/10.2172/902464.

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Jaques, Brian, Yanliang Zhang, and Vivek Agarwal. NanoStructured bulk thermoelectric generator for efficient power harvesting for self-powered sensor network. Office of Scientific and Technical Information (OSTI), 2018. http://dx.doi.org/10.2172/1478227.

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He, Tian, Sudha Krishnamurthy, Liqian Luo, et al. VigilNet: An Integrated Sensor Network System for Energy-Efficient Surveillance. Defense Technical Information Center, 2005. http://dx.doi.org/10.21236/ada446892.

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Mahdavi, Rod, and William Tschudi. Wireless Sensor Network for Improving the Energy Efficiency of Data Centers. Office of Scientific and Technical Information (OSTI), 2012. http://dx.doi.org/10.2172/1171531.

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Rentel, Carlos. Test Plan of the Anticipatory Wirelss Sensor Network for the Critical Energy Infrastructure. Office of Scientific and Technical Information (OSTI), 2006. http://dx.doi.org/10.2172/920621.

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Carlos H. Rentel. Low-Cost, Robust, Threat-aware Wireless Sensor Network for Assuring the Nation's Energy Infrastructure. Office of Scientific and Technical Information (OSTI), 2007. http://dx.doi.org/10.2172/920622.

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Carols H. Rentel. Low-Cost, Robust, Threat-Aware Wireless Sensor Network for Assuring the Nation's Energy Infrastructure. Office of Scientific and Technical Information (OSTI), 2007. http://dx.doi.org/10.2172/920623.

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Carlos H. Rentel and Peter J. Marshall. Low-Cost, Robust, Threat-Aware Wireless Sensor Network for Assuring the Nation's Energy Infrastructure. Office of Scientific and Technical Information (OSTI), 2007. http://dx.doi.org/10.2172/924028.

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Ratmanski, Kiril, and Sergey Vecherin. Resilience in distributed sensor networks. Engineer Research and Development Center (U.S.), 2022. http://dx.doi.org/10.21079/11681/45680.

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With the advent of cheap and available sensors, there is a need for intelligent sensor selection and placement for various purposes. While previous research was focused on the most efficient sensor networks, we present a new mathematical framework for efficient and resilient sensor network installation. Specifically, in this work we formulate and solve a sensor selection and placement problem when network resilience is also a factor in the optimization problem. Our approach is based on the binary linear programming problem. The generic formulation is probabilistic and applicable to any sensor

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Al-Qadi, Imad, Yanfeng Ouyang, Eleftheria Kontou, et al. Planning for Emerging Mobility: Testing and Deployment in Illinois. Illinois Center for Transportation, 2023. http://dx.doi.org/10.36501/0197-9191/23-025.

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As part of planning I-ACT, this project developed plans and recommendations for the integration of energy harvesting, electrification, and 5G communication. Given the emergence of autonomous, connected, and electrified technologies, I-ACT will serve a critical role for the state of Illinois in developing, testing, and validating mobility technologies, along with establishing an integrated infrastructure that will safely and reliably serve all users. A summary of recommendations related to the design features of I-ACT is presented for energy harvesting, electrification, and 5G communication net

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