Optimal sampling strategy enabling energy-neutral operations at rechargeable wireless sensor networks

Rana, Rajib and Hu, Wen and Chou, Chun Tung (2015) Optimal sampling strategy enabling energy-neutral operations at rechargeable wireless sensor networks. IEEE Sensors Journal, 15 (1). pp. 201-208. ISSN 1530-437X

Abstract

Due to nonhomogeneous spread of sunlight, sensing nodes possess nonuniform energy budget in rechargeable wireless
sensor networks. An energy-aware workload distribution strategy is therefore necessary to achieve good data accuracy subject to energy-neutral operation. Our previously proposed energy aware sparse approximation technique (EAST) can approximate a signal, by adapting sensor node sampling workload according to solar energy availability. However, the major shortcoming of EAST is that it does not guarantee an optimal sensing strategy.
In other words, EAST offers energy neutral operation, however it does not offer the best utilization of sensor node energy, which compromises the reconstruction accuracy. In order to overcome this shortcoming, we propose EAST+, which maximizes the reconstruction accuracy subject to energy neutral operations. We also propose a distributed algorithm for EAST+, which offers accurate signal reconstruction with limited node-to-base communications.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Permanent restricted access to published version in accordance with the copyright policy of the publisher.
Faculty / Department / School: Current - Institute for Resilient Regions
Date Deposited: 29 Apr 2016 05:53
Last Modified: 03 Jan 2017 06:10
Uncontrolled Keywords: rechargeable wireless sensor networks; sparse approximation; energy-aware sensing; energy-neutral operations
Fields of Research : 08 Information and Computing Sciences > 0805 Distributed Computing > 080504 Ubiquitous Computing
Identification Number or DOI: 10.1109/JSEN.2014.2337334
URI: http://eprints.usq.edu.au/id/eprint/28905

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