Adaptive GPS Duty Cycling and Radio Ranging for Energy-efficient Localization

Abstract : This paper addresses the tradeoff between energy consumption and localization performance in a mobile sensor network application. It focuses on fusing GPS loca- tion with more energy-efficient location sensors to bound position estimate uncertainty in order to prolong node lifetime. We consider an animal monitoring application and use empirical GPS and radio contact data from a large-scale deployment to model animal mobility, GPS and radio performance. These models are used to explore duty cycling strategies for maintaining position uncertainty within specified bounds. We then explore the benefits of using short-range radio contact logging alongside GPS as an energy-inexpensive means of lowering uncertainty while the GPS is off. Results show that GPS combined with radio-contact logging is effective in extending node lifetime while meeting application- specific positioning criteria.
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Communication dans un congrès
The 8th ACM Conference on Embedded Networked Sensor Systems (SenSys 2010), Nov 2010, Zurich, Switzerland. 2010
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Raja Jurdak, Peter Corke, Dhinesh Dharman, Guillaume Salagnac. Adaptive GPS Duty Cycling and Radio Ranging for Energy-efficient Localization. The 8th ACM Conference on Embedded Networked Sensor Systems (SenSys 2010), Nov 2010, Zurich, Switzerland. 2010. 〈inria-00524296〉

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