Multi-Object Optimization Based RV Selection Algorithm for VCN
Vehicular communication network (VCN) has recently received considerable attention both from academia and industry. In VCN, vehicles are expected to be capable of communicating with other vehicles as well as stationary infrastructures, i.e., the access points (APs) of wireless access networks. In the case that the direct connection between a source vehicle (SV) and APs is inaccessible, relay vehicles (RVs) can be applied for supporting multi-hop connection between SVs and APs. In this paper, a multi-object based RV selection algorithm for VCN is proposed, which jointly considers the characteristics of physical channel, link status between SVs and RVs, the bandwidth and delay characteristics of RVs and user service requirements. The utility functions of both SVs and RVs are modeled and a multi-object optimization problem is formulated. Applying ideal point method, the problem can be solved and the optimal SV-RV pairs can be obtained. Simulation results demonstrate that compared to previous algorithms, the proposed algorithm offers better performance in terms of user throughput, successful transmission rate and average transmission delay