會議論文

學年 105
學期 2
發表日期 2017-03-27
作品名稱 Maximizing Surveillance Quality for Barrier Coverage in Rechargeable Sensor Networks
作品名稱(其他語言)
著者 Dong, Zai-Xiu; Wen, Wei-Min; Chen, Gui-Lin; Zhao, Sheng-Hui; Chang, Chih-Yung
作品所屬單位
出版者
會議名稱 2017 IEEE 31st International Conference on Advanced Information Networking and Applications (AINA)
會議地點 Taipei, Taiwan
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.
關鍵字 barrier coverage;wireless sensor networks
語言 en
收錄於
會議性質 國際
校內研討會地點
研討會時間 20170327~20170329
通訊作者
國別 TWN
公開徵稿
出版型式
出處 2017 IEEE 31st International Conference on Advanced Information Networking and Applications (AINA)
相關連結

機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/112188 )