Abstract
Clustering seems to be the most desired process in the network arena, especially in vehicular ad hoc network (VANET). Several algorithms were proposed for the optimization of the routing in VANET that enables efficient data transfer through better manipulated clustering. In spite of using those algorithms, the major impact lies in the clustering method, so it necessarily depends upon the effective manipulation of analysis of dynamic clustering (Kashan et al. in DisABC: a new artificial bee colony algorithm for binary optimization, 12(1):342–352, 2012). Bee colony optimization is another vibrant bio-inspired methodology that is being used in solving all the complex problems in the network sector. Since bee colony optimization is highly heuristic in nature we adhere to it to obtain good degree of clustering.
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Sampath Kumar, S., Rajaguru, D., Vengattaraman, T., Dhavachelvan, P., Juanita Jesline, A., Amudhavel, J. (2016). Intelligent Collision Avoidance Approach in VANET Using Artificial Bee Colony Algorithm. In: Suresh, L., Panigrahi, B. (eds) Proceedings of the International Conference on Soft Computing Systems. Advances in Intelligent Systems and Computing, vol 398. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2674-1_51
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