Predictive Handoff Management in Vehicular Networks Using both Weight Value Based and K-Means Algorithm Based Clustering Algorithm to Meet Desired QoS

Vehicular Ad-hoc Networks is a interesting and key research area which have more number of issues which needs immediate attention when moving towards intelligent transportation system. In this research work, we have proposed a new mechanism of IP scheme which highly helps in handover of vehicle from...

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Bibliographic Details
Published in:Journal of physics. Conference series 2021-07, Vol.1969 (1), p.12036
Main Authors: Ramalingam, M, Vinothkumar, S, Varadhaganapathy, S, Ramya, P
Format: Article
Language:English
Subjects:
Algorithms
Clustering
Handoff queueing
Intelligent transportation systems
IP (Internet Protocol)
Mobile ad hoc networks
Quality of service architectures
Transportation networks
Vehicles
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Summary:Vehicular Ad-hoc Networks is a interesting and key research area which have more number of issues which needs immediate attention when moving towards intelligent transportation system. In this research work, we have proposed a new mechanism of IP scheme which highly helps in handover of vehicle from one RSU to RSU. RSU is playing a key role in delivering of one vehicle from its range to other RSU. Here, how Quality of service can be handled when unexpected handover happens between RSU. So, A new mechanism to predict the vehicles which may enter into handoff process based on its mobility and GPS location. This proposed IP scheme and the predicted handoff is tested through two protocols called Weighted Clustering algorithm and also with Mutated K-Means algorithm to test the performance. The results shows better results to maintain the QoS demands of the vehicle when the handoff is predicted in prior.
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/1969/1/012036