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Reducing energy consumption in human-centric wireless sensor networks | IEEE Conference Publication | IEEE Xplore

Reducing energy consumption in human-centric wireless sensor networks


Abstract:

Energy consumption is a main research issue in wireless sensor networks; and particularly in those where nodes collaborate to reach a goal. This article explores the ener...Show More

Abstract:

Energy consumption is a main research issue in wireless sensor networks; and particularly in those where nodes collaborate to reach a goal. This article explores the energy consumption in mobile devices participating in a human-based wireless sensor network. Specifically, the paper proposes the use of a message predictor to help detect and reduce the number of unnecessary control packets delivered by the nodes as a way to keep updated the network topology. In order to evaluate this proposal, the Optimized Link State Routing protocol was modified to add a message predictor between the routing and the network layers. Eleven simulations were performed using a particular setting. The preliminary results indicate the use of the message predictor can help reduce considerably the nodes energy consumption without affecting the routing capability of the protocol. Although these results are still preliminary, they are highly encouraging.
Date of Conference: 14-17 October 2012
Date Added to IEEE Xplore: 13 December 2012
ISBN Information:
Print ISSN: 1062-922X
Conference Location: Seoul, Korea (South)

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