Research Article
Flexibility of Decentralized Energy Restoration in WSNs
@INPROCEEDINGS{10.1007/978-3-030-67369-7_8, author={Osama I. Aloqaily}, title={Flexibility of Decentralized Energy Restoration in WSNs}, proceedings={Ad Hoc Networks. 12th EAI International Conference, ADHOCNETS 2020, Paris, France, November 17, 2020, Proceedings}, proceedings_a={ADHOCNETS}, year={2021}, month={1}, keywords={Adaptive Decentralized Recharging Mobile charger WRSN Local learning}, doi={10.1007/978-3-030-67369-7_8} }- Osama I. Aloqaily
Year: 2021
Flexibility of Decentralized Energy Restoration in WSNs
ADHOCNETS
Springer
DOI: 10.1007/978-3-030-67369-7_8
Abstract
Wireless Rechargeable Sensor Networks (WRSNs) have become more and more popular thanks to the advances in wireless power transfer and battery material. The strategy followed by the charger to decide which sensor to be recharged next, is consideredeffectiveif only few sensing holes exist at any time, and their duration is short-lived. Ideally, the strategy will allow the system to beimmortal; that is, all sensors are operational at all times. A recharging strategy is said to beflexibleif it is effective for a wide range of parameters (i.e., for different applications).
In this paper, we analyze a simple decentralized recharging strategy which is based on local learning, operates without any a-priori knowledge of the network, has small memory requirements, and uses only local communication. We study the effectiveness and the flexibility of such a technique under a variety of ranges of the network parameters, showing its applicability to various contexts. We focus on three classes of applications that differ in network size (number of sensors), level of sensitivity of collected data, transmission rate, battery capacity, and type of mobile charger used to replenish energy. Our experiments show that in all these different settings, this simple local learning strategy is highly effective, achieving total immortality or near immortality in all cases.
