LOAD BALANCING MANAGEMENT USING FUZZY LOGIC TO IMPROVE THE REPORT TRANSFER SUCCESS RATE
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Computer Science & Information Technology (CS & IT) 8 (3): 01 - 13 (January 2018)

A wireless sensor network (WSN) consists of multiple sensor nodes and base stations (BS) that collect information over widely deployed sensor nodes. Sensor nodes have limited energy source and low computing power. Due to those features, there is a disadvantage that user's individual node management is difficult and they are easily captured by attackers. Therefore, efficient energy allocation of nodes is important and network security protocol is needed. The Probabilistic Voting Filtering System (PVFS) is a system that prevents false vote injection attack and false report attack injected from attackers. The reason for the existence of this protocol is for energy management of nodes through defence against those attacks and in order to efficiently manage the network based on PVFS, load balancing of nodes should be performed. In the proposed scheme, fuzzy logic is applied to each cluster head node (CH) to perform load balancing by determine whether to perform a role as a verification node and an event forwarding node. The experiment shows that the event detection rate and the report delivery success rate are improved in proposed scheme compare with original PVFS.
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