Maximizing Surveillance Quality for Barrier Coverage in Rechargeable Sensor Networks

淡江大學機構典藏 > 工學院 > 資訊工程學系暨研究所 > 會議論文 > Item 987654321/112188

jsp.display-item.identifier=請使用永久網址來引用或連結此文件: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/112188

题名:	Maximizing Surveillance Quality for Barrier Coverage in Rechargeable Sensor Networks
作者:	Dong, Zai-Xiu;Wen, Wei-Min;Chen, Gui-Lin;Zhao, Sheng-Hui;Chang, Chih-Yung
关键词:	barrier coverage;wireless sensor networks
日期:	2017-03-27
上传时间:	2017-11-22 02:10:15 (UTC+8)
出版者:	IEEE
摘要:	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.
關聯:	2017 IEEE 31st International Conference on Advanced Information Networking and Applications (AINA)
DOI:	10.1109/AINA.2017.171
显示于类别:	[資訊工程學系暨研究所] 會議論文

文件中的档案:

档案	描述	大小	格式	浏览次数
index.html		0Kb	HTML	155	检视/开启

在機構典藏中所有的数据项都受到原著作权保护.

TAIR相关文章