SOFCluster: Safety‐oriented, fuzzy logic‐based clustering scheme for vehicular ad hoc networks
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.
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