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Sensors 2018, 18(8), 2609; https://doi.org/10.3390/s18082609

Energy-Aware Control of Data Compression and Sensing Rate for Wireless Rechargeable Sensor Networks

1
Department of Smart Systems Software, Soongsil University, Seoul 06978, Korea
2
Department of Software Convergence, Soongsil University, Seoul 06978, Korea
*
Author to whom correspondence should be addressed.
Received: 9 July 2018 / Revised: 7 August 2018 / Accepted: 8 August 2018 / Published: 9 August 2018
(This article belongs to the Special Issue Green Communications and Networking for IoT)
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Abstract

Wireless rechargeable sensor nodes can collect additional data, which leads to an increase in the precision of data analysis, when enough harvested energy is acquired. However, because such nodes increase the amount of sensory data, some nodes (especially near the sink) may blackout because more transmitted data can make relaying nodes expend more energy. In this paper, we propose an energy-aware control scheme of data compression and sensing rate to maximize the amount of data collected at the sink, while minimizing the blackout time. In this scheme, each dominant node determines the data quota that all its descendant nodes can transmit during the next period, which operates with an efficient energy allocation scheme. Then, the node receiving the quota selects an appropriate data compression algorithm and sensing rate according to both its quota and allocated energy during the next period, so as not to exhaust the energy of nodes near the sink. Experimental results verify that the proposed scheme collects more data than other schemes, while suppressing the blackout of nodes. We also found that it adapts better to changes in node density and harvesting environments. View Full-Text
Keywords: wireless sensor networks; rechargeable; compression; sensing rate control wireless sensor networks; rechargeable; compression; sensing rate control
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This 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. (CC BY 4.0).
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Yoon, I.; Noh, D.K. Energy-Aware Control of Data Compression and Sensing Rate for Wireless Rechargeable Sensor Networks. Sensors 2018, 18, 2609.

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