Open AccessPredictive Handoff Management in Vehicular Networks Using both Weight Value Based and K-Means Algorithm Based Clustering Algorithm to Meet Desired QoS
Author(s) -
M. Ramalingam,
S. Vinothkumar,
S. Varadhaganapathy,
P. Ramya
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1969/1/012036
Subject(s) - handover , computer science , cluster analysis , quality of service , algorithm , computer network , key (lock) , vehicular ad hoc network , wireless ad hoc network , scheme (mathematics) , service (business) , process (computing) , global positioning system , real time computing , wireless , artificial intelligence , mathematics , telecommunications , computer security , economics , operating system , mathematical analysis , economy
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.