Abstract
Data propagation is the process of sending the data to the respective vehicles either in the on-demand process or through broadcasting. Propagating the data is highly related to the sensitivity schema since the lifetime of a data has been considered as a prime factor. To propagate data to its respective vehicle within the stipulated time will be considered as the QoS factor in VANET. In this research work, data propagation model has been considered and designed a swarm model namely Enhanced Binary Krill Herd Algorithm for effective addressing on data propagation schema in VANET. Introducing the Internet of Things with VANET (IoT) that aims to prioritize emergency information and vehicles. The results of the algorithm prove its significance against the existing methods.
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Saravanan, D., Janakiraman, S., Harshavardhanan, P., Kumar, S.A., Sathian, D. (2022). Enhanced Binary Krill Herd Algorithm for Effective Data Propagation in VANET. In: Velliangiri, S., Gunasekaran, M., Karthikeyan, P. (eds) Secure Communication for 5G and IoT Networks. EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-030-79766-9_14
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