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Data-Centric Routing using Bloom Filters in Wireless Sensor Networks

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2 Author(s)
Peter Hebden ; ; Adrian R. Pearce

This paper presents a paradigm for reducing communication costs in wireless sensor networks. The first component is our Distributed Asynchronous Clustering protocol (DAC), which self-organises the network into an infrastructure that supports in-network processing, routing, and deployment. The second component, and the focus of this paper, is a data-centric routing protocol where cluster heads build and maintain sets of Bloom filters to inform routing decisions and filter out unproductive messages. While other data-centric protocols use a flat topology and rely to some extent on flooding, our protocol exploits a two tier hierarchy to provide an adaptable, scalable, and intelligent routing service that is expected to reduce the number of transmissions and extend network lifetime.

Published in:

Intelligent Sensing and Information Processing, 2006. ICISIP 2006. Fourth International Conference on

Date of Conference:

Oct. 15 2006-Dec. 18 2006