Open AccessImproved Cluster Stability in the Ad Hoc Vehicle Network
Author(s) -
Mr. S. Ramakrishnan*,
Ms. N. Suganthi
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.l3956.1081219
Subject(s) - vehicular ad hoc network , weighting , fuzzy logic , computer science , stability (learning theory) , cluster (spacecraft) , flexibility (engineering) , cluster analysis , wireless ad hoc network , computer network , function (biology) , artificial intelligence , machine learning , mathematics , telecommunications , medicine , statistics , evolutionary biology , biology , wireless , radiology
Traffic management has been and remains a significant issue, particularly in urban regions with elevated vehicle density. Adoption of an intelligent transport system (ITS) has extensively experimented to curb the traffic threat with blended experiences as a result. By communicating with other vehicles traveling on the same road in the form of clusters, an ad hoc vehicle network (VANET) forms and ITS that can allow vehicles with less human input to cooperate. By considering the elevated mobility nature of cars in VANET, this article provides a solution to the primary threat of VANET clustering by embracing the flexibility of fuzzy logics for cluster formation on a multilane urban high way. It also demonstrates that cluster stability is enhanced by performing the cluster head (CH) selection process based on a mixture of fuzzy logic, lane weighting, and utility function with the fuzzy membership function adjusted to boost cluster stability