Maximizing Surveillance Quality for Barrier Coverage in Rechargeable Sensor Networks

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Title:	Maximizing Surveillance Quality for Barrier Coverage in Rechargeable Sensor Networks
Authors:	Dong, Zai-Xiu;Wen, Wei-Min;Chen, Gui-Lin;Zhao, Sheng-Hui;Chang, Chih-Yung
Keywords:	barrier coverage;wireless sensor networks
Date:	2017-03-27
Issue Date:	2017-11-22 02:10:15 (UTC+8)
Publisher:	IEEE
Abstract:	Barrier coverage has received much attention in the last decade and has been an import issue in wireless sensor networks. In the previous study, a number of researchers have presented algorithms for coping with the barrier coverage problem. However, these studies consider that sensors are equipped with batteries and the sensing model applies Boolean Sensing Model (BSM). The sensor using battery as its energy source can lead to the battery change problem which is difficult and inconvenient. Unlike previous studies, this work aims to resolve the barrier coverage problem but considers solar-powered sensors and applies the Probabilistic Sensing Model (PSM). A barrier coverage mechanism, called MSQ (Maximizing surveillance quality algorithm), is proposed aiming to maximize boundary surveillance quality. Performance experiments show that the proposed MSQ mechanism outperforms existing studies in terms of surveillance quality.
Relation:	2017 IEEE 31st International Conference on Advanced Information Networking and Applications (AINA)
DOI:	10.1109/AINA.2017.171
Appears in Collections:	[Graduate Institute & Department of Computer Science and Information Engineering] Proceeding

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