Abstract:
Wireless Sensor Network (WSN) is capable of measuring parameters within its coverage area. It gains wide applications in the areas such as military fields, environment monitoring for the sake of safety, efficiency as well as on-time nature. Nevertheless, factors such as time dependent nature of wireless links, dynamic topology make it different for proliferation of wireless sensor network. Routing is a key but the most difficult part in the design as well as optimization of wireless sensor networks. Specific speaking, routing in WSN is designed to improve one or at most two performance metrics, leading to its performance deterioration when the application fields change. An adaptive routing mechanism based on GRC, with five metrics considered, is proposed, targeting at multiple parameters such as packet delivery ratio, delay, jitter, throughput and energy cost evaluation, in this paper to rank the alternative protocols and thus rank them accordingly using fuzzy logics. Competing metrics are balanced and therefore our method is able to obtain the optimal routing algorithm. Simulation results show that a 32% gain may be achieved by using the proposed method in terms of middle traffic flow. Our method is able to provide a quantitative method for performance evaluation for wireless sensor network. It also aims at providing benchmark for algorithm optimization.