A fuzzy-logic-based cluster head selection algorithm in VANETs

Autor:	Lian Zhao, Zaiyi Liao, Khalid Abdel Hafeez, Bobby Ngok-Wah Ma
Rok vydání:	2012
Předmět:	Vehicular ad hoc network Computer science Distributed computing Cluster (physics) Mobile computing Topology (electrical circuits) Cluster analysis Selection algorithm Fuzzy logic Selection (genetic algorithm)
Zdroj:	ICC
DOI:	10.1109/icc.2012.6363839
Popis:	Due to vehicles high mobility, there have been many clustering-based MAC protocols proposed to control Vehicular Ad hoc Network topology more effectively. Cluster head (CH) selection and cluster formation is of paramount importance in a highly dynamic environment such as VANETs. In this paper, we propose a novel cluster head selection criteria where cluster heads are selected based on their relative speed and distance from vehicles within their neighborhood. The maintenance phase in the proposed algorithm is adaptable to drivers' behavior on the road and has a learning mechanism for predicting the future speed and position of all cluster members using fuzzy logic inference system. The simulation results show that the proposed algorithm has a high average cluster head lifetime and more stable cluster topology with less communication and coordination between cluster members compared to other schemes.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::007a48925927078ae734cc79952afde3 https://doi.org/10.1109/icc.2012.6363839 Zobrazit plný text záznamu