A new fuzzy-based method for energy-aware resource allocation in vehicular cloud computing using a nature-inspired algorithm

• Published in: Sustainable computing informatics and systems 2022-12, Vol.36, p.100806, Article 100806
• Main Authors: Li, Can, Zuo, Xiaode, Mohammed, Amin Salih
• Format: Article
• Language: English
• Subjects: Algorithm; Cloud computing; Fuzzy; Resource allocation; Vehicular
• ISSN: 2210-5379
• DOI: 10.1016/j.suscom.2022.100806

Vehicular cloud computing is a hopeful solution to utilize underused vehicle resources such as processing energy, storage space, Internet connection, etc. These resources can be shared among vehicles or rented by landlords for multiple purposes, such as meeting the hardware needs of automotive network services and applications. It is possible to meet the growing need for resources in the automotive network. Although this plan seems possible, its implementation has some problems. Several scholars have concentrated on architectural design to solve various difficulties and provide users with trustworthy service. This paper presents a fuzzy-based method to allocate resources in vehicular cloud computing using a nature-inspired (cuckoo search algorithm). The suggested algorithm is compared to some state-of-the-art algorithms. The outcomes illustrated that the recommended method outperforms other algorithms in terms of execution time, delay, and makespan. •Proposing a hybrid method for solving the resource allocation in VCC.•Reducing energy consumption in VCC by the fuzzy-based cuckoo optimization algorithm.•Reducing Service Level Agreement (SLA) contravention in VCC by the fuzzy-based cuckoo optimization algorithm.•Improving the execution time, response time, and makespan in VCC of the applied fuzzy-based cuckoo optimization algorithm.