SEFP: A NEW ROUTING APPROACH USING FUZZY LOGIC FOR CLUSTERED HETEROGENEOUS WIRELESS SENSOR NETWORKS

What is it about?

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 the 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 the 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 the base station (BS), and the sum of distances between particular sensor node and other sensor nodes (area distance).

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Why is it important?

Network lifetime and stability period are the major factors in designing algorithms of routing protocols for homogeneous or heterogeneous wireless sensor networks. Many clustering protocols are proposed such as LEACH and SEP. these protocols depend on the energy efficiency isn’t enhanced. However, in these classical protocols cluster heads (CHs) are selected randomly. In this paper, SEFP approach based on SEP algorithm using fuzzy logic has been proposed for heterogeneous WSNs. The main purpose of our approach is to prolong the network lifetime and also maximize the stability period using characteristic parameters of heterogeneity in networks and election fuzzy logic to assess the chance value of sensor nodes to become CH. Additionally, SEFP approach selects the CHs considering the residual energy of each sensor node, closeness to the base station (BS) and area distance. Form the simulation results, we conclude that SEFP approach is more efficient energy and is more powerful in prolonging the network lifetime and particularly the stability period compared to LEACH and SEP protocols in heterogeneous environments.

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