Trusted data fusion by using cellular automata in wireless sensor networks

In this paper, we introduce a new protocol, named TDFCA (Trusted Data Fusion by using Cellular Automata) in Wireless sensor Networks. TDFCA uses Cellular Automata rules to find the most suitable cluster head, perform data fusion, and find the most trusted neighbors for sending the fusion result to base station. The network is intended for the long-term monitoring of packets produced by jammer nodes. The data flow of the network is mainly toward a cluster head node, which is responsible for collecting data generated by sensor nodes. When the network is first deployed, an initialization algorithm is performed and preliminary clusters and cluster heads are determined. Since the network nodes are battery powered, one of the important measures of effectiveness is power efficiency. Therefore, TDFCA tries not only to increase the trust value of the fusion result, but also to maximize the network's lifetime. Finally, simulation results are presented.

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