Resource Management in Vehicular Ad Hoc Networks: Multi-parameter Fuzzy Optimization Scheme

Large amount of information like text, audio and video exists in vehicular ad hoc networks(VANETs). However, the highly dynamic network feature and the limited memory of the local server pose challenges to resource management, which not only leads to the failure of resource presentations to users, but the transmission of the invalid fragment data would also result in the significant waste of precious bandwidth and memory. To solve this problem, this paper improved the fuzzy logic resource management (FLRM)--multi-parameter fuzzy logic resource management (MP-FLRM). In the scheme, we first gather and record the request time, download time and upload time for each resource by the designed Vehicle to Infrastructure (V2I) communication mode. Then survival time can be reached after defuzzifier of the three kinds of parameters, which can update the resource list in real time. Simulation results show that MP-FLRM can improve system throughput. In this way system performance was enhanced.