Energy-aware determination of compression for low latency in solar-powered wireless sensor networks. (February 2017)

• Record Type: Journal Article
• Authors: Kang, Min Jae; Jeong, Semi; Yoon, Ikjune; Noh, Dong Kun
• Is Part Of: International journal of distributed sensor networks. Volume 13:Number 2(2017)
• Publication Date: 2017-02
• Subjects: Wireless sensor network -- solar energy -- latency -- compression -- energy-aware; Sensor networks -- Periodicals; Intelligent agents (Computer software) -- Periodicals; Multisensor data fusion -- Periodicals; 681.2
• DOI: 10.1177/1550147717694168
• Languages: English
• ISSNs: 1550-1329

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.