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Joint management of energy harvesting, storage, and usage for green wireless sensor networks
Jin X(金曦); Kong FX(孔繁鑫); Zeng P(曾鹏); Deng QX(邓庆绪); Xu HT(徐惠婷)
Department工业控制网络与系统研究室
Source PublicationInternational Journal of Distributed Sensor Networks
ISSN1550-1329
2014
Volume2014Pages:1-13
Indexed BySCI ; EI
EI Accession number20142917952545
WOS IDWOS:000338534800001
Contribution Rank1
KeywordCharging (Batteries) Heuristic Algorithms Optimization Sensor Nodes
AbstractRecently, energy harvesting has been emerging as a promising technique to prolong the lifetime for wireless sensor nodes. Most existing efforts address the design of energy harvesting and sensor node subsystem separately or ignore some real-world constraints. In this paper, we study how to codesign the two subsystems and how to jointly manage energy harvesting, storage, and usage. We first propose a novel system architecture for energy harvesting which employs several supercapacitors to eliminate the conflicts on charging and discharging among different system components. Then, we present a method to schedule their charging and discharging, which is proved to be able to guarantee zero waste of the harvested energy if the battery is not full. Third, we propose an optimal algorithm to minimize different components' capacity and two heuristic algorithms to maximize the system reward. We conduct extensive experiments based on real-life data traces. Results show that the proposed system architecture can harvest more energy compared to the state of the art, and the capacity optimization algorithm can choose the most suitable size for each system component.
Language英语
WOS HeadingsScience & Technology ; Technology
WOS SubjectComputer Science, Information Systems ; Telecommunications
WOS KeywordSYSTEM ; LIFETIME
WOS Research AreaComputer Science ; Telecommunications
Citation statistics
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/15085
Collection工业控制网络与系统研究室
Corresponding AuthorJin X(金曦); Zeng P(曾鹏)
Affiliation1.Laboratory of Networked Control Systems, Shenyang Institute of Automation, Chinese Academy of Science, Shenyang 110016, China
2.School of Computer Science, McGill University, QC H3A 0E9, Canada
3.College of Information Science and Engineering, Northeastern University, Shenyang 110819, China
Recommended Citation
GB/T 7714
Jin X,Kong FX,Zeng P,et al. Joint management of energy harvesting, storage, and usage for green wireless sensor networks[J]. International Journal of Distributed Sensor Networks,2014,2014:1-13.
APA Jin X,Kong FX,Zeng P,Deng QX,&Xu HT.(2014).Joint management of energy harvesting, storage, and usage for green wireless sensor networks.International Journal of Distributed Sensor Networks,2014,1-13.
MLA Jin X,et al."Joint management of energy harvesting, storage, and usage for green wireless sensor networks".International Journal of Distributed Sensor Networks 2014(2014):1-13.
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