@inproceedings{75d4e7c8344741ae9401fab1ef5fa501,
title = "An adaptive algorithm for charger deployment optimization in wireless rechargeable sensor networks",
abstract = "Wireless chargers are used to refill sensors' power supply in a wireless rechargeable sensor network (WRSN) so that the WRSN can operate sustainably. Since wireless chargers are costly, the problem about how to deploy as few as possible chargers to make a WRSN sustainable is important. This paper proposes a greedy algorithm, named adaptive pair based greedy cone selection (APB-GCS), to consider the Friis propagation model for solving the problem under the assumption that chargers are equipped with directional antennas and can be deployed on grid points at a fixed height and that the sensors are deployed on the floor or object surfaces. According to simulation results, the APB-GCS algorithm outperforms others in terms of the number of deployed chargers with moderate computation complexity.",
keywords = "charger deployment, directional antennas, Friis propagation model, greedy algorithms, sustainability, wireless rechargeable sensor networks",
author = "Liao, {Ji Hau} and Hong, {Chi Ming} and Jiang, {Jehn Ruey}",
note = "Publisher Copyright: {\textcopyright} 2015 The authors and IOS Press. All rights reserved.; International Computer Symposium, ICS 2014 ; Conference date: 12-12-2014 Through 14-12-2014",
year = "2015",
doi = "10.3233/978-1-61499-484-8-2080",
language = "???core.languages.en_GB???",
series = "Frontiers in Artificial Intelligence and Applications",
publisher = "IOS Press",
pages = "2080--2089",
editor = "Chu, {William Cheng-Chung} and Yang, {Stephen Jenn-Hwa} and Han-Chieh Chao",
booktitle = "Intelligent Systems and Applications - Proceedings of the International Computer Symposium, ICS 2014",
}