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Energy-efficient scheduling protocols for wireless sensor networks

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2 Author(s)
Yingwei Yao ; Dept. of Electr. & Comput. Eng., Illinois Univ., Chicago, IL, USA ; Giannakis, G.B.

We consider the problem of minimizing the energy needed for data fusion in a large scale sensor network by varying the transmission times assigned to different sensor nodes. The optimal scheduling protocol is derived, based on which, we develop a low-complexity inverse-log scheduling algorithm that achieves near-optimal energy efficiency. To eliminate the communication overhead required by centralized scheduling protocols, we also develop a distributed inverse-log protocol that is applicable to networks with a large number of nodes. Simulations demonstrate that this distributed scheduling protocol achieves substantial energy savings over uniform time division multiple access protocol.

Published in:

Communications, 2005. ICC 2005. 2005 IEEE International Conference on  (Volume:4 )

Date of Conference:

16-20 May 2005