LOAD BALANCING MANAGEMENT USING EVALUATION FUNCTION TO IMPROVE THE REPORT TRANSFER SUCCESS RATE.

A wireless sensor network (WSN) consists of multiple sensor nodes and base stations that collect information from sensors deployed over a wide range. The existence of nodes that are randomly distributed in an open environment (which are difficult to manage individually) is a disadvantage because the nodes can be easily found and compromised by an attacker. An attacker can execute a false report insert attack or an invalid vote insert attack through a compromised node. The Probabilistic Voting Filtering Scheme (PVFS) is a scheme that prevents these two types of attacks. The proposed method probabilistically selects a validation node, determines the validity of the report, and filters the report based on the thresholds that have been set. Because of the characteristics of PVFS, which show weaknesses in both the individual management of sensor nodes responsible for event reception and probabilistic security and the management of random routing in the WSN, it is necessary to manage the lifetimes of individual nodes. The proposed scheme increases the network lifetime and event detection and transmission rates of the overall WSN by varying the role of the node via an evaluation function, which evaluates the energy state of the node. Experimental results showed that the event transmission success rate was improved up to 13.45% from threshold value 2, the threshold value is variable used in the evaluation function.