Adaptive Voting Algorithms for Reliable Dissemintation of Data in Sensor Networks

A real-time data collection system in sensor network settings requires dealing with failures in the network and in the external environment: such as data corruptions by malicious devices and message timeliness violations in the network. Functional replication is employed to deal with such failures, with voting among the replica devices to move a correct data to the end-user. The goal of our paper is to develop a voting system that dynamically adapts its internal mechanisms to deal with various types of failures. The paper presents the design issues, with considerations of protocol correctness and performance. A goal is to reduce the message overhead - and hence the power drain on wireless connected sensor devices.