SOFCluster: Safety-oriented, fuzzy logic-based clustering scheme for vehicular ad hoc networks,Transactions on Emerging Telecommunications Technologies

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SOFCluster: Safety-oriented, fuzzy logic-based clustering scheme for vehicular ad hoc networks
Transactions on Emerging Telecommunications Technologies ( IF 2.5 ) Pub Date : 2020-04-05 , DOI: 10.1002/ett.3951
Mohamed Aissa ₁ , Badia Bouhdid ₂ , Adel Ben Mnaouer ₃ , Abdelfettah Belghith ₄ , Saad AlAhmadi ₄

Affiliation

Vehicular ad hoc network (VANET) nodes are characterized by their high mobility and by exhibiting different mobility patterns. Therefore, VANET clustering schemes are required to account for the mobility parameters among neighboring nodes to produce relatively stable clustering schemes. In this article, we propose a novel cluster-head (CH) selection scheme for VANETs. This scheme is based on a fuzzy logic-powered, k-hop distributed clustering algorithm. It deals efficiently with scalability and stability issues of VANETs and is able to achieve highly stable clustering topologies as compared with other schemes. Our proposed clustering scheme strives to maintain a safe intervehicle distance as a one prime metric for CH selection. Moreover, a major contribution of our work is the proposal of a novel strategy for constructing fuzzy logic-based clustering algorithms useful for VANETs. This proposed solution is useful in an Internet of things-based setting that involves controlled vehicle-to-vehicle communication. We first derive mathematically, a new average distance estimation formula that is used as a metric for selecting CHs, leading to safer clusters that avoid collisions with front and rear vehicles. Furthermore, the new proposed scheme creates stable clusters by reducing reclustering overhead and prolonging clusters' lifetimes.

中文翻译：

SOFCluster：面向安全、基于模糊逻辑的车载自组织网络聚类方案

车载自组织网络 (VANET) 节点的特点是它们的高移动性和表现出不同的移动模式。因此，VANET 聚类方案需要考虑相邻节点之间的移动性参数，以产生相对稳定的聚类方案。在本文中，我们为 VANET 提出了一种新颖的簇头 (CH) 选择方案。该方案基于模糊逻辑驱动的 k 跳分布式聚类算法。它有效地处理了 VANET 的可扩展性和稳定性问题，并且与其他方案相比能够实现高度稳定的集群拓扑。我们提出的聚类方案力求保持安全的车距作为 CH 选择的一个主要指标。而且，我们工作的一个主要贡献是提出了一种新的策略，用于构建对 VANET 有用的基于模糊逻辑的聚类算法。该提议的解决方案在涉及受控车辆到车辆通信的基于物联网的环境中很有用。我们首先从数学上推导出一个新的平均距离估计公式，该公式用作选择 CH 的指标，从而产生更安全的集群，避免与前后车辆发生碰撞。此外，新提出的方案通过减少重新聚类开销和延长集群的生命周期来创建稳定的集群。一种新的平均距离估计公式，用作选择 CH 的指标，从而产生更安全的集群，避免与前后车辆发生碰撞。此外，新提出的方案通过减少重新聚类开销和延长集群的生命周期来创建稳定的集群。一种新的平均距离估计公式，用作选择 CH 的指标，从而产生更安全的集群，避免与前后车辆发生碰撞。此外，新提出的方案通过减少重新聚类开销和延长集群的生命周期来创建稳定的集群。

更新日期：2020-04-05

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