Vehicle Weighted Cluster Algorithm in Heterogeneous Network

Abstract:

Considering about the motion status of the vehicles and the long term evolution (LTE) network modulation strategy, based on weighted clustering algorithm under heterogeneous networks (HWCA) which contains LTE network and vehicle adhoc network (VANET) was proposed. HWCA algorithm, which introduced relative vehicular confidence distance, relative mobility, relative achievable rate and channel quality indicator as clustering properties, and allocating weights for properties by analytic hierarchy process (AHP), then selecting the optimal scheme by technique for order preference by similarity to ideal solution (TOPSIS), and choosing the optimal cluster head which can enhance the cluster stability. As simulation result shows, this algorithm can increase heterogeneous network transmission capacity and reduce LTE resource block overhead, optimizing the performance of whole network.