Sefp: a New Routing Approach Using Fuzzy Logic for Clustered Heterogeneous Wireless Sensor Networks

Wireless sensor networks (WSNs) are composed of set sensor nodes communicating through wireless channels with limited resources. Therefore, several routing protocols and approaches about energy efficient operation of WSNs have been proposed. Clustering algorithm based routing protocols are well used for efficient management of sensing sensor node energy resources. However, many researches were focused on optimization of well-known hierarchical routing approaches of WSNs using fuzzy logic system or heuristic methods. Most of these routing approaches haven’t considered the impact of heterogeneity of sensor nodes, in terms of their energy which is equipped with additional energy resources. In this paper, we propose stable election using three fuzzy parameters approach (SEFP) using fuzzy logic system for heterogeneous WSNs. The main purpose of this routing approach is to improve the network lifetime and particularly the stability period of the network. In the SEFP approach, the sensor node with the maximum chance value becomes a cluster head (CH) based in three fuzzy parameters such as residual energy of each sensor node, closeness to base station (BS), and sum of distances between particular sensor node and other sensor nodes (area distance). The Simulation results of heterogeneous WSNs shows that our approach using fuzzy logic system always preserves more energy as compared to well-known protocols such as LEACH and SEP. additionally, we found that our approach SEFP outperforms LEACH and SEP protocols in prolonging the lifetime and the stability period for heterogeneous WSNs.