Abstract
VANET is one of such network which has received parcel of enthusiasm for most recent few years. VANET intends at providing recent inventive services identifying with different methods of transport and traffic organization to enable an assortment of clients to be most prominent educated and to make utilization of transport arranges all the more safely and additionally capably. Intelligent transport framework join propelled data technology, media transmission technology, sensor innovation, control innovation and PC innovation to an indispensable transportation management framework, which is based on a larger scale. Clustering is one of the efficient technique for exploiting the life span and scalability of VANET. Various cluster-primarily based routing procedures were projected inside the literature. However, in specifically proposed protocols, the conversation amongst an automobile and its cluster head (CH) is thought in more than a few communications. In this paper, a framework proposed for the decision of CH chosen using Particle Swarm Optimization (CH-PSO) algorithm.
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Rajawat, B.S., Tomar, R.S., Sharma, M.S.P., Chaurasia, B.K. (2019). Improved Election of Cluster Head Using CH-PSO for Different Scenarios in VANET. In: Verma, S., Tomar, R., Chaurasia, B., Singh, V., Abawajy, J. (eds) Communication, Networks and Computing. CNC 2018. Communications in Computer and Information Science, vol 839. Springer, Singapore. https://doi.org/10.1007/978-981-13-2372-0_10
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DOI: https://doi.org/10.1007/978-981-13-2372-0_10
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