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Balancing computational and transmission power consumption in wireless image sensor networks

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4 Author(s)
Ferrigno, L. ; DAEIMI, Cassino Univ., Italy ; Marano, S. ; Paciello, V. ; Pietrosanto, A.

The paper presents a methodology to reduce the energy consumption of visual sensor node in wireless sensor networks. This methodology, based on a balancing between processing and transmission tasks, can be applied in all those situations where subjective image based measurements are required. Considering that in a sensor node, the communication task is the most energy consumption, the proposed method tries to find the best compression ratio able to give a significant reduction of transmission time, returning adequate and objective image quality and compression time. Some results are presented applying the proposed methodology to the particular case study: the use of wireless visual sensors to the remote metering of water counters.

Published in:

Virtual Environments, Human-Computer Interfaces and Measurement Systems, 2005. VECIMS 2005. Proceedings of the 2005 IEEE International Conference on

Date of Conference:

18-20 July 2005