异构网络下基于车辆权值的分簇算法

Vehicle Weighted Cluster Algorithm in Heterogeneous Network

摘要:

基于路面车辆的运动状态与长期演进（long term evolution, LTE）网络调制策略，提出LTE网络与车载自组织网络组成的异构网络下基于车辆权值的分簇算法（heterogeneous weighted clustering algorithm, HWCA）.HWCA算法引入车辆相对置信距离、相对移动性、相对可达速率和信道质量指示作为分簇属性，使用层次分析法分配各属性权值，利用序数偏好法决策最优分簇方案，选取最优簇头节点，提升簇结构稳定性.仿真结果表明，HWCA可提升系统传输容量，并减少LTE的资源块开销，优化整体网络性能.

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.