Adaptive GPS duty cycling and radio ranging for energy-efficient localization
Jurdak, Raja , Corke, Peter, Dharman, Dhinesh , & Salagnac, Guillaume (2010) Adaptive GPS duty cycling and radio ranging for energy-efficient localization. In Proceedings of the 8th ACM Conference on Embedded Networked Sensor Systems - SenSys '10, Association for Computing Machinery (ACM), ETH Zurich, Zurich, pp. 57-73.
This paper addresses the tradeoff between energy consumption and localization performance in a mobile sensor network application. The focus is on augmenting GPS location with more energy-efficient location sensors to bound position estimate uncertainty in order to prolong node lifetime. We use empirical GPS and radio contact data from a largescale animal tracking deployment to model node 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, and we propose a versatile contact logging strategy that relies on RSSI ranging and GPS lock back-offs for reducing the node energy consumption relative to GPS duty cycling. Results show that our strategy can cut the node energy consumption by half while meeting application specific positioning criteria.
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|Item Type:||Conference Paper|
|Keywords:||Sensor Network, Localization, Energy Aware|
|Subjects:||Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > DISTRIBUTED COMPUTING (080500) > Networking and Communications (080503)|
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > DISTRIBUTED COMPUTING (080500) > Ubiquitous Computing (080504)
|Divisions:||Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering|
Past > Schools > School of Engineering Systems
|Copyright Owner:||Copyright 2010 Association for Computing Machinery|
|Deposited On:||09 May 2011 09:01|
|Last Modified:||01 Mar 2012 10:03|
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