Title :
Task-oriented Distributed Information Fusion in Wireless Sensor Networks
Author :
Hongmei He ; Zhenhuan Zhu ; Makinen, E.
Author_Institution :
Sch. of Eng. & Digital Arts, Univ. of Kent, Canterbury, UK
Abstract :
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.
Keywords :
cloud computing; sensor fusion; wireless sensor networks; cloud computing Internet; computing scalability; data flow; data fusion; energy consumption; heterogeneous sensors; quality of estimates; realtime performance; task-oriented distributed information fusion; wireless sensor networks; Sensor fusion; Sensor phenomena and characterization; Sociology; Statistics; Wireless sensor networks; Distributed Decision Making; Linguistic Decision Trees; Network Hierarchy; Optimal sensor assignments;
Conference_Titel :
Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2012 4th International Conference on
Conference_Location :
Nanchang, Jiangxi
Print_ISBN :
978-1-4673-1902-7
DOI :
10.1109/IHMSC.2012.187
