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http://dx.doi.org/10.9708/jksci.2017.22.03.115

Adaptive Data Aggregation and Compression Scheme for Wireless Sensor Networks with Energy-Harvesting Nodes  

Jeong, Semi (Dept. of Software Convergence, Soongsil University)
Kim, Hyeok (Dept. of Software Convergence, Soongsil University)
Noh, Dong Kun (Dept. of Software Convergence, Soongsil University)
Yoon, Ikjune (Dept. of Smart Systems Software, Soongsil University)
Publication Information
Journal of the Korea Society of Computer and Information / v.22, no.3, 2017 , pp. 115-122 More about this Journal
Abstract
In this paper, we propose an adaptive data aggregation and compression scheme for wireless sensor networks with energy-harvesting nodes, which increases the amount of data arrived at the sink node by efficient use of the harvested energy. In energy-harvesting wireless sensor networks, sensor nodes can have more than necessary energy because they harvest energy from environments continuously. In the proposed scheme, when a node judges that there is surplus energy by estimating its residual energy, the node compresses and transmits the aggregated data so far. Conversely, if the residual energy is estimated to be depleted, the node turns off its transceiver and collects only its own sensory data to reduce its energy consumption. As a result, this scheme increases the amount of data collected at the sink node by preventing the blackout of relay nodes and facilitating data transmission. Through simulation, we show that the proposed scheme suppresses the occurrence of blackout nodes and collect the largest amount of data at the sink node compared to previous schemes.
Keywords
Wireless sensor network; Energy-harvesting; Aggregation; Compression; Energy-aware;
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Times Cited By KSCI : 4  (Citation Analysis)
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