Multiple-source Localization in Binary Sensor Networks

摘要：

　　The binary sensor generates one bit of information of target: whether it detects the target or not.So it is a low-power and bandwidth-efficient solution for wireless sensor networks.Most of the multiple-source localization methods are focus on the signal strength.This paper investigates multiple-source localization using data from binary sensors.We firstly introduce a multiple sources detection model based on Neyman-Pearson criterion for binary sensor.Then an iterative fuzzy C-means (IFCM) algorithm is proposed to solve the multiple sources localization problem.We compare proposed algorithm with fuzzy C-means (FCM) algorithm in three deployment strategies.Simulation results show that our proposed IFCM algorithm outperforms the FCM algorithm.

关键词： wireless sensor networks binary sensor multiple sources localization

作者: Long Cheng Chengdong Wu Yunzhou Zhang Hao Chu Li Chen

作者单位: School of Information Science and Engineering Northeastern University Shenyang, China Architectural Design and Research Institute Shenyang Jianzhu University Shenyang, China

会议类型: 国际会议

会议名称: 2012 IEEE 14th International Conference on Communication Technology(2012年第十四届通信技术国际会议(ICCT 2012))

会议地点: 成都

会议语种:英文

页码: 1476-1480

在线出版日期: 2012-11-09（万方平台首次上网日期，不代表论文的发表时间）