Performance enhancement of in-network probabilistic aggregation (PEPA) for vehicular ad-hoc networks
Abstract
In the current scenario of vehicular communication, it is very difficult to believe that the aggregated packet of information is not malicious. The algorithm is developed to allocate probability to the packet transmitted by the cluster head depending upon, the number of vehicles involved in creating a clustered information. The aggregated packet with the highest value of probabilistic correctness is considered by the receiving-end cluster head when multiple packets of similar information with related timestamps are received. The performance of the technique is tested under varying vehicular densities and data-sending rates. This scheme provides robust aggregation performance in comparison to the existing state-of-the-art structured and structure-free aggregation techniques.
© 2021 Rajeev Kumar, Dilip Kumar, Dinesh Kumar, published by Macquarie University, Australia
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