 Energy-aware determination of compression for low latency in solar-powered wireless sensor networksMin Jae Kang, Semi Jeong, Ikjune Yoon and Dong Kun Noh International Journal of Distributed Sensor Networks, 2017, vol. 13, issue 2, 1550147717694168 Abstract: There have been many studies performed about increasing network lifetime in wireless sensor networks that involve reducing data size, since the data transmission process takes up a large part of energy consumption. However, reducing data size results in increased delay time due to not only the compression computation time but also the waiting time to gather a sufficient amount of data for compression. Meanwhile, in solar-powered wireless sensor networks, the harvested energy may be surplus to the basic operations of sensor nodes. In this study, such surplus energy is utilized to reduce the delay time between nodes. Nodes with residual energy less than a certain threshold transfer data with compression in order to reduce energy consumption, and nodes with residual energy over the threshold (which means there is surplus energy) transfer data without compression to reduce the delay time between nodes by using the surplus energy. Simulation-based performance verifications show that the technique proposed in this study exhibits optimal performance in terms of both energy and delay times compared with traditional methods. Keywords: Wireless sensor network; solar energy; latency; compression; energy-aware (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:sae:intdis:v:13:y:2017:i:2:p:1550147717694168 Access Statistics for this article More articles in International Journal of Distributed Sensor Networks |
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