DocumentCode :
2237235
Title :
Optimal sensor hop selection: Sensor energy minimization and network lifetime maximization with guaranteed system performance
Author :
Shi, Ling ; Johansson, Karl Henrik ; Murray, Richard M.
Author_Institution :
Control & Dynamical Syst., California Inst. of Technol., Pasadena, CA, USA
fYear :
2008
fDate :
9-11 Dec. 2008
Firstpage :
2344
Lastpage :
2349
Abstract :
In this paper we consider state estimation carried over a sensor network. A fusion center forms a local multi-hop tree of sensors and gateways and fuses the data into a state estimate. It is shown that the optimal estimator over a sensor tree is given by a Kalman filter of certain structure. The number of hops that the sensors use to communicate data with the fusion center is optimized such that either the overall transmission energy is minimized or the network lifetime is maximized. In both cases the fusion center provides a specified level of estimation accuracy. Some heuristic algorithms are proposed which lead to suboptimal solutions in the energy minimization problem, while an algorithm that leads to the global optimal solution is proposed in the lifetime maximization problem. In both cases, the algorithms are shown to have low computational complexity. Examples are provided to demonstrate the theory and algorithms.
Keywords :
Kalman filters; computational complexity; minimisation; sensor fusion; state estimation; telecommunication network reliability; tree searching; wireless sensor networks; Kalman filter; computational complexity; fusion center; global optimal search algorithm; guaranteed system performance; multihop sensor tree; network lifetime maximization; optimal sensor hop selection; sensor energy minimization; state estimation; wireless sensor network; Aggregates; Control systems; Media Access Protocol; Network topology; Routing protocols; Sensor fusion; Sensor systems; State estimation; System performance; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 2008. CDC 2008. 47th IEEE Conference on
Conference_Location :
Cancun
ISSN :
0191-2216
Print_ISBN :
978-1-4244-3123-6
Electronic_ISBN :
0191-2216
Type :
conf
DOI :
10.1109/CDC.2008.4738663
Filename :
4738663
Link To Document :
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