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Sensors 2017, 17(10), 2206; https://doi.org/10.3390/s17102206

Average Throughput Performance of Myopic Policy in Energy Harvesting Wireless Sensor Networks

Department of Electrical and Electronics Engineering, Middle East Technical University (METU), 06531 Cankaya, Ankara, Turkey
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Received: 1 August 2017 / Revised: 16 September 2017 / Accepted: 20 September 2017 / Published: 26 September 2017
(This article belongs to the Special Issue Energy Harvesting Sensors for Long Term Applications in the IoT Era)
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Abstract

This paper considers a single-hop wireless sensor network where a fusion center collects data from M energy harvesting wireless sensors. The harvested energy is stored losslessly in an infinite-capacity battery at each sensor. In each time slot, the fusion center schedules K sensors for data transmission over K orthogonal channels. The fusion center does not have direct knowledge on the battery states of sensors, or the statistics of their energy harvesting processes. The fusion center only has information of the outcomes of previous transmission attempts. It is assumed that the sensors are data backlogged, there is no battery leakage and the communication is error-free. An energy harvesting sensor can transmit data to the fusion center whenever being scheduled only if it has enough energy for data transmission. We investigate average throughput of Round-Robin type myopic policy both analytically and numerically under an average reward (throughput) criterion. We show that Round-Robin type myopic policy achieves optimality for some class of energy harvesting processes although it is suboptimal for a broad class of energy harvesting processes. View Full-Text
Keywords: energy harvesting; decision making; resource allocation; scheduling policy; wireless sensor network energy harvesting; decision making; resource allocation; scheduling policy; wireless sensor network
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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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Gul, O.M.; Demirekler, M. Average Throughput Performance of Myopic Policy in Energy Harvesting Wireless Sensor Networks. Sensors 2017, 17, 2206.

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