Stable routing protocol based on fuzzy logic system in vehicular ad hoc networks. (23rd April 2018)

• Record Type: Journal Article
• Authors: Marzak, Bouchra; El Moumni, Soufiane; Benlahmar, Elhabib; Ait‐Mlouk, Addi; Talea, Mohamed
• Is Part Of: International journal of communication systems. Volume 31:Number 10(2018)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2018-04-23
• Subjects: cluster head -- clustering routing -- fuzzy logic system -- routing protocol -- stability -- vehicular ad‐hoc networks; Telecommunication systems -- Periodicals; 621.382
• DOI: 10.1002/dac.3587
• Languages: English
• ISSNs: 1074-5351

Abstract

Summary: Vehicular ad‐hoc networks have several roles in alert messages dissemination between vehicles in danger, the most important role is to provide helpful information for drivers (eg, road traffic state). But, some performance improvements are frequently needed in terms of routing. Hence, several clustering approaches have been proposed to optimize the network services. These approaches are based on increasing data delivery, reducing data congestion, and dividing the traffic into clusters. However, a stable clustering algorithm is always required in order to ensure the data dissemination in a dense, mobile, or a large‐scale environment. Therefore, in this paper, we have proposed a stable routing protocol based on the fuzzy logic system, which can deliver alert messages with minimum delay and improve the stability of clusters structure by generating only a small number of clusters in the network. In this work, the fuzzy logic system has been used to create the clusters and select a cluster head for each cluster. We have used the network simulator (NS2) to generate the results. As a result, we could reduce the cluster head changes and increase the cluster member lifetime compared with recent approaches. Abstract : In this paper, we have proposed a stable routing protocol based on the fuzzy logic system. The fuzzy logic system has been used to create the clusters and select a cluster head for each cluster. The results of our approach could reduce the cluster‐head changes and increase the cluster member lifetime compared with recent approaches.