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Autonomic Sensor Networks: A New Paradigm for Collaborative Information Processing

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3 Author(s)
Hui Kang ; Dept. of Comput. Sci., Oklahoma State Univ., Stillwater, OK ; Xiaolin Li ; Moran, P.J.

Wireless sensor networks (WSNs) are severely constrained in computation and communication capabilities due to the cost and size of available sensors. On the other hand, autonomic computing (AC) offers a promising solution to manage large-scale computing systems without human intervention. Realizing the similarity between WSNs and AC applications, this paper proposes an autonomic sensor network framework to enable self-managing wireless sensor network systems for collaborative information processing. In particular, a preliminary power-aware self-configuring and self-optimizing sensor selection scheme is developed to improve the performance and extend the lifetime of sensor networks. The simulation results confirm that the proposed power-aware scheme prolongs the network lifetime and balances the energy in sensor nodes

Published in:

Dependable, Autonomic and Secure Computing, 2nd IEEE International Symposium on

Date of Conference:

Sept. 29 2006-Oct. 1 2006