Data-Centric Routing using Bloom Filters in Wireless Sensor Networks

This paper presents a paradigm for reducing communication costs in wireless sensor networks. The first component is our Distributed Asynchronous Clustering protocol (DAC), whic h self-organises the network into an infrastructure that sup ports in-network processing, routing, and deployment. The secon d component, and the focus of this paper, is a data-centric routing protocol where cluster heads build and maintain set s of Bloom filters to inform routing decsions and filter out un- productive messages. While other data-centric protocols u se a flat topology and rely to some extent on flooding, our protocol exploits a two tier hierarchy to provide an adaptable, scala ble, and intelligent routing service that is expected to reduce t he number of transmissions and extend network lifetime.