Collaborative Content Downloading in VANETs with Fuzzy Comprehensive Evaluation

Vehicle collaborative content downloading has become a hotspot in current vehicular ad-hoc network (VANET) research. However, in reality, the highly dynamic nature of VANET makes users lose resources easily, and the transmission of invalid segment data also wastes valuable bandwidth and storage of the users’ vehicles. In addition, the individual need of each customer vehicle should also be taken into consideration when selecting an agent vehicle for downloading. In this paper, a novel scheme is proposed for vehicle selection in the download of cooperative content from the Internet, by considering the basic evaluation information of the vehicle. To maximize the overall throughput of the system, a collaborative content downloading algorithm is proposed, which is based on fuzzy evaluation and a customer’s own expectations, in order to solve the problems of agent vehicle selection. With the premise of ensuring successful downloading and the selection preferences of customer vehicles, linear programming is used to optimize the distribution of agent vehicles and maximize customer’s satisfaction. Simulation results show that the proposed scheme works well in terms of average quality of service, average bandwidth efficiency, failure frequency, and average consumption.

[1]  Qiang Ye,et al.  Fuzzy logic-based integrity-oriented file transfer for highway vehicular communications , 2018, EURASIP J. Wirel. Commun. Netw..

[2]  Tao Zhang,et al.  Cooperative Content Downloading in Hybrid VANETs: 3G/4G or RSUs Downloading , 2016, 2016 IEEE International Conference on Smart Cloud (SmartCloud).

[3]  Antonella Molinaro,et al.  Information-centric networking for connected vehicles: a survey and future perspectives , 2016, IEEE Communications Magazine.

[4]  Hui Li,et al.  SIRC: A Secure Incentive Scheme for Reliable Cooperative Downloading in Highway VANETs , 2017, IEEE Transactions on Intelligent Transportation Systems.

[5]  Zhu Han,et al.  Popular content distribution in vehicular networks using coalition formation games , 2012, 2013 IEEE International Conference on Communications (ICC).

[6]  Xuemin Shen,et al.  Asymptotic Throughput Capacity Analysis of VANETs Exploiting Mobility Diversity , 2015, IEEE Transactions on Vehicular Technology.

[7]  Mianxiong Dong,et al.  MMCD: Cooperative Downloading for Highway VANETs , 2015, IEEE Transactions on Emerging Topics in Computing.

[8]  Der-Jiunn Deng,et al.  Resource Allocation in Vehicular Cloud Computing Systems With Heterogeneous Vehicles and Roadside Units , 2018, IEEE Internet of Things Journal.

[9]  Zhihan Lv,et al.  A Joint Multi-Criteria Utility-Based Network Selection Approach for Vehicle-to-Infrastructure Networking , 2018, IEEE Transactions on Intelligent Transportation Systems.

[10]  Mario Gerla,et al.  Incentive driven LTE content distribution in VANETs , 2015, 2015 14th Annual Mediterranean Ad Hoc Networking Workshop (MED-HOC-NET).

[11]  Jianhang Liu,et al.  A transmission scheduling method of cooperative downloading for Vehicular Networking , 2014, 2014 14th International Symposium on Communications and Information Technologies (ISCIT).

[12]  Yuanguo Bi,et al.  TV White Space Enabled Connected Vehicle Networks: Challenges and Solutions , 2017, IEEE Network.

[13]  Yi Sun,et al.  A Cooperative Downloading Method for VANET Using Distributed Fountain Code , 2016, Sensors.

[14]  Danijela Cabric,et al.  Interplay Between TVWS and DSRC: Optimal Strategy for Safety Message Dissemination in VANET , 2014, IEEE Journal on Selected Areas in Communications.

[15]  Wei Huang,et al.  ECDS: Efficient collaborative downloading scheme for popular content distribution in urban vehicular networks , 2016, Comput. Networks.

[16]  Andreas F. Molisch,et al.  Performance of Fountain Codes in Collaborative Relay Networks , 2007, IEEE Transactions on Wireless Communications.

[17]  Ying Li,et al.  ChainCluster: Engineering a Cooperative Content Distribution Framework for Highway Vehicular Communications , 2014, IEEE Transactions on Intelligent Transportation Systems.

[18]  Xuemin Shen,et al.  Connected Vehicles: Solutions and Challenges , 2014, IEEE Internet of Things Journal.

[19]  Yuanguo Bi,et al.  White Space Enabled Connected Vehicle Networks : Challenges and Solutions , .

[20]  Michele Nogueira Lima,et al.  Offloading cellular networks through V2V communications — How to select the seed-vehicles? , 2016, 2016 IEEE International Conference on Communications (ICC).

[21]  Liwei Wang,et al.  Cooperative downloading in VANETs-LTE heterogeneous network based on Named Data , 2016, 2016 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS).

[22]  Shuqi Wang,et al.  An incentive mechanism for cooperative downloading method in VANET , 2013, Proceedings of 2013 IEEE International Conference on Vehicular Electronics and Safety.

[23]  Yu Cheng,et al.  Secure Cooperative Data Downloading in Vehicular Ad Hoc Networks , 2013, IEEE Journal on Selected Areas in Communications.

[24]  Xue-rong Cui,et al.  A balanced cooperative downloading method for VANET , 2016, 2016 16th International Symposium on Communications and Information Technologies (ISCIT).

[25]  Chung-Ming Huang,et al.  A Bandwidth Aggregation Scheme for Member-Based Cooperative Networking over the Hybrid VANET , 2011, 2011 IEEE 17th International Conference on Parallel and Distributed Systems.

[26]  Xiaoyan Zhu,et al.  Privacy-Preserving Cooperative Downloading for Value-Added Services in VANETs , 2013, 2013 5th International Conference on Intelligent Networking and Collaborative Systems.