Task-oriented Distributed Information Fusion in Wireless Sensor Networks
A wireless sensor network may form a part of the base for cloud computing through Internet. We present a framework of task-oriented distributed data fusion, and investigate the assignments of heterogeneous sensors on nodes in the network for a specified task, assuming the network has been self-organized to be a temporally static hierarchy with fixed coordinators. The merits of the distributed data fusion are evaluated through a case study on a classic database from five aspects, quality of estimates, computing scalability, realtime performance, data flow, and energy consumption. Distributed Decision Making, Linguistic Decision
Trees Network Hierarchy Optimal sensor assignments.
Hongmei He Zhenhuan Zhu ErkkiMakinen
School of Engineering and Digital Arts, University of Kent, UK School of Mechanical, Aerospace & Civil Engineering, University of Manchester,UK School of Information Sciences, University of Tampere, Finland
国际会议
南昌
英文
741-746
2012-08-26(万方平台首次上网日期,不代表论文的发表时间)