Decision making in assessment of RRAP of WSN using fuzzy-hybrid approach

Reliability Redundancy Allocation Problem (RRAP) in Wireless Sensor Network (WSN) system is obviously an important problem. The basic function of WSN system is to provide surveillance data transmission over a specified area maintaining minimum power consumption (minimum cost), occupying minimum volume and weight of system components with a reasonable level of reliability. In this paper, a decision making assessment of reliability of Redundancy Allocation Problem (RAP) is proposed using fuzzy approach. The fuzzy approach incurs the virtue of uncertainty in account to make the approach more practical. Triangular Fuzzy membership function is introduced to produce fuzzy number set as input variables (cost, weight and volume) to a hybrid optimization algorithm. The hybrid meta-heuristic algorithm aiming for reliability optimization in RAP of system components of WSN is discussed. This algorithm is based on a new hybrid algorithm using Genetic Algorithm (GA) and Particle Swarm Optimization (PSO). The fuzzy results obtained are used to exhibit decision making matrix to enhance decidability property of WSN. Finally after defuzzification crisp data are obtained and compared with other approaches from literature and found satisfactory.