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Distance-based energy efficient clustering for wireless sensor networks | IEEE Conference Publication | IEEE Xplore

Distance-based energy efficient clustering for wireless sensor networks


Abstract:

Sensor networks have recently emerged as an important computing platform. However, the energy constrained and limited computing resources of the sensor nodes present majo...Show More

Abstract:

Sensor networks have recently emerged as an important computing platform. However, the energy constrained and limited computing resources of the sensor nodes present major challenges in gathering data. In this work, we propose a new distributed clustering and data aggregation algorithm, CODA (cluster-based self-organizing data aggregation), based on the distance from the sink in ad-hoc wireless sensor networks. While cluster-based data gathering is efficient in energy and bandwidth, it is difficult to cluster efficiently. We use the distance vector from the sink, which affects the energy depletion of the network. Our simulation results show that the proposed algorithm balances the energy dissipation over the whole network thus prolongs the network lifetime.
Date of Conference: 16-18 November 2004
Date Added to IEEE Xplore: 20 December 2004
Print ISBN:0-7695-2260-2
Print ISSN: 0742-1303
Conference Location: Tampa, FL, USA

References

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