Abstract
Deployment of vehicular ad hoc network (VANET) has drawn considerable attention in current times. Energy efficient designs and sensing coverage in networks are the critical issues. Scheming an optimal wake-up system that avoids awakening extra nodes is a very challenging problem. This nature-inspired algorithm known as Giraffe kicking optimization (GKO) helps to balance between exploitation and exploration then helps to awake minimum number of sensor nodes by using the kicking style of a mother giraffe and also help to improve the throughput and prolong the lifetime of the network. Energy efficient routing is a vital phenomenon in the field of VANET which is a part of Wireless Sensor Network (WSNs) are developed to collect the information and to impel them towards the cluster head and the base station. The hybrid C-means based GKO algorithm is useful for VANET to avoid a large amount of energy consumption triggered by the redundant sensor nodes. To provide quality of service, it is essential to awake the minimum number of sensor nodes to consume less energy in the network by using optimized clustering techniques. For this issue, here we have planned a hybrid C-means Giraffe optimization technique with a multi-fitness function used to reach efficient routing enactment in VANET. Then, the GKO is contrasted with some other popular nature-inspired algorithms which are widely used in the field of VANET. We have confirmed our projected procedure against performance parameters and two non-parametric tests, such as Friedman and Holm’s test has been used to analyze the results.









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Behura, A., Srinivas, M. & Kabat, M.R. Giraffe kicking optimization algorithm provides efficient routing mechanism in the field of vehicular ad hoc networks. J Ambient Intell Human Comput 13, 3989–4008 (2022). https://doi.org/10.1007/s12652-021-03519-9
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DOI: https://doi.org/10.1007/s12652-021-03519-9