ENSP: ENERGY EFFICIENT NEXT HOP SELECTION IN A PROBABILISTIC VOTING-BASED FILTERING SCHEME USING FUZZY LOGIC

In wireless sensor networks, sensor nodes are easily compromised due to their restricted hardware resources. These compromised nodes inject fabricated votes into legitimate reports, and generate false report and false vote injection attacks. These attacks deplete energy resources and block report transmission. A probabilistic voting-based filtering scheme was proposed to detect the bogus votes in reports en-route to protect against attacks. Although this method detects false votes in intermediate nodes, the sensor network needs to be effectively operated in consideration of a node's conditions. In this paper, the proposed method selects effective verification nodes by considering the condition of nodes based on a fuzzy logic system. In the proposed method, the intermediate node selects between two next hop nodes in its range through a fuzzy logic system before forwarding the report. Experimental results suggest that, compared to the original method, the proposed method improves energy savings up to 11% while maintaining a high security level.