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

Rana, Rajib ORCID: https://orcid.org/0000-0002-0506-2409 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


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: © 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Faculty/School / Institute/Centre: Current - Institute for Resilient Regions
Faculty/School / Institute/Centre: Current - Institute for Resilient Regions
Date Deposited: 29 Apr 2016 05:53
Last Modified: 08 Jun 2021 00:25
Uncontrolled Keywords: rechargeable wireless sensor networks; sparse approximation; energy-aware sensing; energy-neutral operations
Fields of Research (2008): 08 Information and Computing Sciences > 0805 Distributed Computing > 080504 Ubiquitous Computing
Fields of Research (2020): 46 INFORMATION AND COMPUTING SCIENCES > 4611 Machine learning > 461199 Machine learning not elsewhere classified
Identification Number or DOI: https://doi.org/10.1109/JSEN.2014.2337334
URI: http://eprints.usq.edu.au/id/eprint/28905

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