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Average Throughput Performance of Myopic Policy in Energy Harvesting Wireless Sensor Networks
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10.3390s17102206.pdf
Date
2017-9-26
Author
Gül, Ömer Melih
Demirekler, Mübeccel
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Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
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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.
Subject Keywords
Energy harvesting
,
Decision making
,
Resource allocation
,
Scheduling policy
,
Wireless sensor network
URI
https://hdl.handle.net/11511/51464
Journal
Sensors
DOI
https://doi.org/10.3390/s17102206
Collections
Department of Electrical and Electronics Engineering, Article
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Ö. M. Gül and M. Demirekler, “Average Throughput Performance of Myopic Policy in Energy Harvesting Wireless Sensor Networks,”
Sensors
, 2017, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/51464.