Fuzzy rule-based system for energy efficiency in wireless sensor networks

Abstract

The sensor nodes consume a large amount of energy to transfer the sensed information directly to the base station (BS). To reduce the energy consumption from the direct transmission, clustering and routing techniques are used. In this paper, we propose clustering and routing algorithms called energy-efficient two-phase approach using fuzzy logic (EETPF). Here, the rule-based fuzzy logic is used to associate the input values of clustering and routing algorithm. The fuzzy system makes decisions according to the residual energy of sensor nodes, distance of sensor nodes from the BS and the number of nodes in the communication range. The crisp values of the input variables are converted into different fuzzy values. The fuzzy output values are converted to crisp values using centroid defuzzification method. The cluster heads (CHs) and routers are selected with respect to the output values. The sensor nodes get allocated to respective CHs according to the load handling capacity of CHs. The routing path is generated according to the capacity of routers. The simulations are conducted on evaluation factors such as energy consumption, active sensor nodes per round and sustainability period of the network. It is observed that EETPF outperforms state-of-the-art algorithms under these evaluation factors.