Towards minimizing delay and energy consumption in vehicular fog computing (VFC)

Issue title: Special section: Soft Computing and Intelligent Systems: Techniques and Applications

Guest editors: Sabu M. Thampi, El-Sayed M. El-Alfy and Ljiljana Trajkovic

Article type: Research Article

Authors: Hussain, Muzakkir^{a; *} | Saad Alam, Mohammad^b | Sufyan Beg, M.M.^a | Akhtar, Nadeem^a

Affiliations: [a] Department of Computer Engineering, Aligarh Muslim University, India | [b] Department of Electrical Engineering, Aligarh Muslim University, India

Correspondence: [*] Corresponding author. Md Muzakkir Hussain, Department of Computer Engineering, Aligarh Muslim University, India. E-mail: md.muzakkirhussain@zhcet.ac.in.

Abstract:  Vehicular Fog Computing (VFC) is a natural extension of Fog Computing (FC) in Intelligent Transportation Systems (ITS). It is an emerging computing model that leverages latency aware and energy aware application deployment in ITS. However, due to heterogeneity, scale and dynamicity of vehicular networks (VN), deployment of VFC is a challenging task. In this paper, we propose a multi-objective optimization model towards minimizing the response time and energy consumption of VFC applications. Using the concepts of probability and queuing theory, we propose an efficient offloading scheme for the fog computing nodes (FCN) used in VFC architecture. The optimization model is then solved using a modified differential evolution (MDE) algorithm. Extensive experimentations performed on real-world vehicular trace of Shenzhen, reveals the superiority of proposed VFC framework over generic cloud platforms.

Keywords: Intelligent transportation systems, modified differential evolution, vehicular fog computing

DOI: 10.3233/JIFS-179735

Journal: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 5, pp. 6549-6560, 2020