Evaluation of continuous consensus algorithm in border surveillance missions

Large scale wireless sensor networks require intelligent and reliable distributed information processing mechanisms which can effectively delegate decision at the field level. Consensus algorithms have been extensively studied and deployed in many generic multiagent systems framework and are able to provide localized agreement among sensing entities. The paper discusses the evaluation of a local consensus algorithm for a border surveillance system, focused on detection of military terrain vehicles, starting from a system architecture for large scale monitoring systems previously proposed. Simulation scenario of a ground local WSN was developed using real data as reference for initial states of the sensor nodes. Performance indicators such as speed of convergence and accuracy of consensus were discussed.