一种基于多参数模糊逻辑的车载通信资源协同优化方法

doi:10.3969/j.issn.0255-8297.2018.05.004

Journal of Applied Sciences ›› 2018, Vol. 36 ›› Issue (5): 765-773.doi: 10.3969/j.issn.0255-8297.2018.05.004

• Communication Engineering • Previous Articles Next Articles

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

ZHANG Yu-ting^1,2, ZHAO Hai-tao^1,2, TANG Zi-hao^1,2, ZHU Hong-bo^1,2

1. College of Telecommunication and Information System, Nanjing University of Posts and Telecommunications, Nanjing 210003, China;
2. Key Laboratory of Wireless Communications of Jiangsu Province, Nanjing University of Posts and Telecommunications, Nanjing 210003, China

Received:2017-06-26 Revised:2017-07-27 Online:2018-09-30 Published:2018-09-30

Abstract

Abstract: 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, leading to the failure of resource presentations for users, moveover the transmission of the invalid fragment data would also result in the significant waste of the precious bandwidth and memory. To solve this problem, this paper proposes an improved fuzzy logic resource management (FLRM)-multi-parameter fuzzy logic resource management (MP-FLRM). In this scheme, we firstly 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 multi-parameters thus, used for updating the resource list in real time. Simulation results show that MP-FLRM will improve the system throughput, accordingly, enhancing the system performance.

Key words: fuzzy logic, vehicular ad hoc networks (VANETs), multi-parameter fuzzy logic resource management (MP-FLRM), resource management

CLC Number:

TN911.73

ZHANG Yu-ting, ZHAO Hai-tao, TANG Zi-hao, ZHU Hong-bo. On Resource Management in Vehicular Ad Hoc Networks: Multi-parameter Fuzzy Optimization Scheme[J]. Journal of Applied Sciences, 2018, 36(5): 765-773.

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

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