Title :
An overview of data aggregation architecture for real-time tracking with sensor networks
Author :
He, Tian ; Gu, Lin ; Luo, Liqian ; Yan, Ting ; Stankovic, John A. ; Son, Sang H.
Author_Institution :
Dept. of Comput. Sci. & Eng., Minnesota Univ., Minneapolis, MN
Abstract :
Since sensor nodes normally have limited resources in terms of energy, bandwidth and computation capability, efficiency is a key design goal in sensor network research. As one of techniques to achieve efficiency, data aggregation has been extensively investigated in recent literature. Previous research on data aggregation has demonstrated its effectiveness in reducing traffic, easing congestion and decreasing the energy consumption. However few are actually designed for a real-world application and implemented in a running system. This paper describes our design and implementation of a physical tracking system, using an aggressive data aggregation architecture as one of building blocks. This architecture can be generally applied to other sensor systems, where communication efficiency is a paramount concern and networking resources are limited
Keywords :
surveillance; target tracking; wireless sensor networks; data aggregation architecture; energy consumption; network congestion control; real-time tracking; wireless sensor networks; Availability; Bandwidth; Computer architecture; Computer science; Energy consumption; Radar tracking; Sensor systems; Surveillance; Telecommunication traffic; Wireless sensor networks;
Conference_Titel :
Parallel and Distributed Processing Symposium, 2006. IPDPS 2006. 20th International
Conference_Location :
Rhodes Island
Print_ISBN :
1-4244-0054-6
DOI :
10.1109/IPDPS.2006.1639413