An Efficient Caching and Offloading Resource Allocation Strategy in Vehicular Social Networks

IEEE Transactions on Vehicular Technology, vol. 73, pp. 5690–5703

Abstract

Limited edge server resources and uneven distribution of traffic density in vehicular networks result in problems such as unbalanced network load and high task processing latency. To address these issues, we proposed an efficient caching and offloading resource allocation (ECORA) strategy in vehicular social networks. First, to improve the utilization of vehicular idle resources, a collaborative computation and storage resource allocation mechanism was designed using mobile social similarity. Next, with the optimization objective of minimizing the average task processing delay, we studied the combined resource allocation optimization problem and decoupled it into two sub-problems. For the service caching subproblem, we designed a stable matching algorithm by mobile social connections to dynamically update the cache resource allocation scheme for improving the task unloading efficiency. For the task offloading subproblem, a discrete cuckoo search algorithm based on differential evolution was designed to adaptively select the best task offloading scheme, which minimized the average task processing delay. Simulation results revealed that the ECORA strategy outperformed the resource allocation strategy based on particle swarm optimization and genetic algorithm, and reduced the average task processing delay by at least 7.59%. Meanwhile, the ECORA strategy can achieve superior network load balancing.

Authors 6

1. Yuexia Zhang

   Beijing Information Science & Technology University

   Affiliation as printed

   Key Laboratory of Information and Communication Systems, Ministry of Information Industry, and Laboratory of Optoelectronic Measurement Technology and Instrument, Ministry of Education, Beijing Information Science and Technology University, Beijing, China

2. Siyu Zhang

   Beijing Information Science & Technology University

   Affiliation as printed

   Key Laboratory of Modern Measurement and Control Technology, Ministry of Education, and School of Information and Communication Engineering, Beijing Information Science and Technology University, Beijing, China

3. Guan Gui

   Nanjing University of Posts and Telecommunications

   Affiliation as printed

   College of Telecommunications and Information Engineerning, Nanjing University of Posts and Telecommunications, Nanjing, China

4. Bamidele Adebisi

   Manchester Metropolitan University

   Affiliation as printed

   Department of Engineering, Faculty of Science and Engineering, Manchester Metropolitan University, Manchester, U.K

5. Haris Gacanin Aachen Faculty of Electrical Engineering and Information Technology

   RWTH Aachen University

   Affiliation as printed

   Faculty of Electrical Engineering and Information Technology, RWTH Aachen University, Aachen, Germany

6. Hikmet Sari

   Nanjing University of Posts and Telecommunications

   Affiliation as printed

   College of Telecommunications and Information Engineerning, Nanjing University of Posts and Telecommunications, Nanjing, China