Majority Voting Paraconsistent Annotated Logic Algorithm For Fault Tolerance And Detection In Wireless Sensor Networks

Abstract

Sensors in Wireless Sensor Networks (WSNs) are prone to faults. Since sensor nodes often share parts of their information, it becomes possible to detect inconsistencies between a neighbour's report and what is expected. In this work, such inconsistencies are analysed using the Paraconsistent Annotated Logic with Two Values (PAL2V) to compare the actual decisions of neighbouring nodes with the expected decisions reconstructed from the local, partial information each node possesses. An algorithm is proposed based on majority voting (MV-PAL2V), concluding a set of states describing the contradiction and guiding a specific corrective response to reduce the associated errors. Simulation results demonstrate that using PAL2V enhances the accuracy of majority voting, particularly by reducing false alarm rates and improving the detection of actual events. Moreover, the statistical and interaction analysis of the simulation results emphasised that the number of nodes plays a crucial role in the reliability of the WSNs’ data.