EnergyConservationandHarvestinginWirelessSensorNetworks ......and Energy Conservation in...
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Editorial Energy Conservation and Harvesting in Wireless Sensor Networks Mile Stojcev , 1 Zoran Stamenkovic, 2 and Bojan Dimitrijevic 1 1 University of Nis, Niˇ s, Serbia 2 IHP–Leibniz-Institut f¨ ur Innovative Mikroelektronik, Frankfurt (Oder), Germany Correspondence should be addressed to Mile Stojcev; [email protected] Received 14 July 2019; Accepted 15 July 2019; Published 29 August 2019 Copyright © 2019 Mile Stojcev et al. is is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Wireless Sensor Networks (WSNs) have attracted significant attention in monitoring and controlling plants, resources, and infrastructures. ese networks are composed of a large number of smart devices called Sensor Nodes (SNs) aimed to work autonomously. e spatially distributed nature of WSNs often requires that the individual SNs be powered by batteries. One of the major limitations on performance and lifetime of SN is the limited capacity of its finite power source, which must be manually replaced when its battery runs out. A viable alternative then is to endow the SNs with appropriate harvesting technologies such as solar, vibra- tional, wind/water flow, thermal gradient scavenging, electromagnetic direct conversion, and others. ese sources can supplement or even entirely replace the battery energy supply. ere are complex tradeoffs to be considered when designing energy harvesting and conservation circuits for WSNs arising from the characteristics of the energy sources, energy storage devices used, power management function- ality of the SNs and protocols, and the applications’ re- quirements. is special issue contains nine papers that roughly cover some topics that are important for future applications of harvesting and conservation techniques in WSNs. e following paragraphs give an overview regarding the content of this special issue. In the paper “Harvested Energy Maximization of SWIPT System with Popularity Cache Scheme in Dense Small Cell Networks,” X. Peng and J. Li, from Xidian University, China, concentrate on energy minimization problem of simulta- neous wireless information and power transfer (SWIPT) system. K. Ho-Van and T. Do-Dac, from HCMUT, Vietnam, in “Relaying Communications in Energy Scavenging Cognitive Networks: Secrecy Outage Probability Analysis” evaluate the performance of relaying communications system in terms of the secrecy outage probability. “e Smaller the Better: Designing Solar Energy Har- vesting Sensor Nodes for Long-Range Monitoring” by M. Mabon et al., from University Rennes, France, describe an energy autonomous node architecture with long-range communication capabilities. In addition, an optimization methodology for energy harvesting and storage elements of the sensor node is presented. In “Novel Energy-Efficient Data Gathering Scheme Exploiting Spatial-Temporal Correlation for Wireless Sensor Networks,” Y. Zhou et al., from Nanjing University of Posts and Telecommunications, Nanjing, China, propose an en- ergy-efficient data gathering scheme exploiting both spatial and temporal correlations for clustered WSNs. In the paper “Priority-Based Pipelined-Forwarding MAC Protocol for EH-WSNs,” K. Shim and H.-K. Park, from KOREATECH, Cheonan, Republic of Korea, con- centrate on priority-based pipelined forwarding MAC protocol that determines the priority of relay nodes based on the residual power and energy-harvesting rate. In the paper entitled as “Actor–Critic-Algorithm-Based Accurate Spectrum Sensing and Transmission Framework and Energy Conservation in Energy-Constrained Wireless Sensor Network-Based Cognitive Radios,” H. A. Shah et al., from Inha and Ulsan Universities, Republic of Korea, focus on solving the Markov decision process problem which deals with an actor–critic-algorithm-based solution intended for optimization the action taken in a sensing–transmission framework. M. Ke et al., from PLA Army Engineering University, Nanjing, China, in the paper entitled as “Robust Power Allocation for Cooperative Localization in Jammed Wireless Hindawi Wireless Communications and Mobile Computing Volume 2019, Article ID 7640232, 2 pages https://doi.org/10.1155/2019/7640232
Transcript of EnergyConservationandHarvestinginWirelessSensorNetworks ......and Energy Conservation in...
EditorialEnergy Conservation andHarvesting inWireless Sensor Networks
Mile Stojcev ,1 Zoran Stamenkovic,2 and Bojan Dimitrijevic1
1University of Nis, Nis, Serbia2IHP–Leibniz-Institut fur Innovative Mikroelektronik, Frankfurt (Oder), Germany
Correspondence should be addressed to Mile Stojcev; [email protected]
Received 14 July 2019; Accepted 15 July 2019; Published 29 August 2019
Copyright © 2019 Mile Stojcev et al. �is is an open access article distributed under the Creative Commons Attribution License,which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Wireless Sensor Networks (WSNs) have attracted signi�cantattention in monitoring and controlling plants, resources,and infrastructures. �ese networks are composed of a largenumber of smart devices called Sensor Nodes (SNs) aimed towork autonomously. �e spatially distributed nature ofWSNs often requires that the individual SNs be powered bybatteries. One of the major limitations on performance andlifetime of SN is the limited capacity of its �nite powersource, which must be manually replaced when its batteryruns out. A viable alternative then is to endow the SNs withappropriate harvesting technologies such as solar, vibra-tional, wind/water �ow, thermal gradient scavenging,electromagnetic direct conversion, and others.�ese sourcescan supplement or even entirely replace the battery energysupply. �ere are complex tradeo�s to be considered whendesigning energy harvesting and conservation circuits forWSNs arising from the characteristics of the energy sources,energy storage devices used, power management function-ality of the SNs and protocols, and the applications’ re-quirements. �is special issue contains nine papers thatroughly cover some topics that are important for futureapplications of harvesting and conservation techniques inWSNs.�e following paragraphs give an overview regardingthe content of this special issue.
In the paper “Harvested Energy Maximization of SWIPTSystem with Popularity Cache Scheme in Dense Small CellNetworks,” X. Peng and J. Li, from Xidian University, China,concentrate on energy minimization problem of simulta-neous wireless information and power transfer (SWIPT)system.
K. Ho-Van and T. Do-Dac, from HCMUT, Vietnam, in“Relaying Communications in Energy Scavenging CognitiveNetworks: Secrecy Outage Probability Analysis” evaluate the
performance of relaying communications system in terms ofthe secrecy outage probability.
“�e Smaller the Better: Designing Solar Energy Har-vesting Sensor Nodes for Long-Range Monitoring” by M.Mabon et al., from University Rennes, France, describe anenergy autonomous node architecture with long-rangecommunication capabilities. In addition, an optimizationmethodology for energy harvesting and storage elements ofthe sensor node is presented.
In “Novel Energy-E¤cient Data Gathering SchemeExploiting Spatial-Temporal Correlation forWireless SensorNetworks,” Y. Zhou et al., from Nanjing University of Postsand Telecommunications, Nanjing, China, propose an en-ergy-e¤cient data gathering scheme exploiting both spatialand temporal correlations for clustered WSNs.
In the paper “Priority-Based Pipelined-ForwardingMAC Protocol for EH-WSNs,” K. Shim and H.-K. Park,from KOREATECH, Cheonan, Republic of Korea, con-centrate on priority-based pipelined forwarding MACprotocol that determines the priority of relay nodes based onthe residual power and energy-harvesting rate.
In the paper entitled as “Actor–Critic-Algorithm-BasedAccurate Spectrum Sensing and Transmission Frameworkand Energy Conservation in Energy-Constrained WirelessSensor Network-Based Cognitive Radios,” H. A. Shah et al.,from Inha and Ulsan Universities, Republic of Korea, focuson solving theMarkov decision process problemwhich dealswith an actor–critic-algorithm-based solution intended foroptimization the action taken in a sensing–transmissionframework.
M. Ke et al., from PLA Army Engineering University,Nanjing, China, in the paper entitled as “Robust PowerAllocation for Cooperative Localization in JammedWireless
HindawiWireless Communications and Mobile ComputingVolume 2019, Article ID 7640232, 2 pageshttps://doi.org/10.1155/2019/7640232
Sensor Networks” investigate the robust power allocationstrategies for cooperation in jammed wireless sensor lo-calization systems.
R. N. Jadoon et al., from University of Science andTechnology of China, Hefei, China, and COMSATS Uni-versity, Islamabad, Pakistan, describe an efficient data de-livery technique called RD2T for wireless sensor networks.'is technique divides the network into static zones byeliminating the control overhead and hence extends thenetwork lifetime.
Finally, in the paper “A Self-Powered PMFC-BasedWireless Sensor Node for Smart City Applications,” D.Ayala-Ruiz et al., from Technology Institute of Sonora,Autonomous University of Yucatan and University ofQuintana Roo, Mexico, propose a WSN composed of self-powered plant microbial fuel cells as long-range sensornodes for environmental analysis in smart cities.
We sincerely thank the authors for their outstandingwork and the anonymous reviewers who made contributionto the review process. Both the authors’ and the reviewers’efforts guaranteed the high quality of the published papers inthis special issue. A special thank goes to the Editorial Boardwho has the overall responsibility of the journal quality andto Monica Nabil for assistance during the publicationprocess.We believe that the technical details presented in thepapers in this special issue will be interesting and useful tothe journal readers and will provide a good snapshot of thestate of art in WSNs.
Conflicts of Interest
'e guest editors declare no (existing and anticipated) con-flicts of interest.
Mile StojcevZoran StamenkovicBojan Dimitrijevic
2 Wireless Communications and Mobile Computing
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