A survey on nature-inspired algorithms and its applications in the Internet of Vehicles,International Journal of Communication Systems

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A survey on nature-inspired algorithms and its applications in the Internet of Vehicles
International Journal of Communication Systems ( IF 1.7 ) Pub Date : 2021-06-09 , DOI: 10.1002/dac.4895
Surbhi Sharma ₁ , Baijnath Kaushik ₁

Affiliation

The concept of the Internet of Vehicles (IoV) was evolved to cater to the increasing demands of emerging and advanced vehicular applications such as intelligent transportation systems (ITS). IoV plays a vital role in the development of smart cities and smart transportation. As IoV involves real-time data, so efficient routing mechanisms, as well as secure protocols, are very much needed to enhance the efficiency and security of the IoV network. In the existing literature, numerous researchers have focused on enhancing the efficiency of the IoV network. However, there still exist some flaws keeping in view the new security vulnerabilities that keep on emerging. So, there is a need to optimize the capabilities of existing frameworks for dealing with such issues. Nature-inspired algorithms are a category of powerful tools to solve problems of optimization. In this first of its kind state-of-the-art study, the potential of applicability of nature-inspired algorithms in IoV networks for improving the overall performance of IoV is explored. First, various categories of nature-inspired algorithms are presented to make the readers well acquainted with the concepts of nature-inspired algorithms. Different nature-inspired algorithms having their applicability in different aspects of IoV are studied with a special focus on security, routing, and parking space management for strengthening the existing IoV network. Various open issues and research challenges in the use of different nature-inspired algorithms in IoV are also presented. Based upon the study conducted, it has been analyzed that nature-inspired algorithms can optimize the overall performance of IoV networks.

中文翻译：

自然启发算法及其在车联网中的应用研究

车联网 (IoV) 的概念是为了满足智能交通系统 (ITS) 等新兴和先进的车辆应用不断增长的需求而发展起来的。车联网在智慧城市和智慧交通的发展中发挥着至关重要的作用。由于车联网涉及实时数据，因此非常需要高效的路由机制以及安全的协议来提高车联网网络的效率和安全性。在现有文献中，许多研究人员专注于提高车联网网络的效率。但是，鉴于不断出现的新安全漏洞，仍然存在一些缺陷。因此，需要优化现有框架处理此类问题的能力。受自然启发的算法是一类解决优化问题的强大工具。在这项同类研究中的第一项最先进的研究中，探索了受自然启发的算法在车联网网络中的适用性，以提高车联网的整体性能。首先，介绍了各类自然启发算法，让读者熟悉自然启发算法的概念。研究了适用于车联网不同方面的不同自然启发算法，特别关注安全、路由和停车位管理，以加强现有的车联网网络。还介绍了在车联网中使用不同的自然启发算法的各种开放问题和研究挑战。根据进行的研究，

更新日期：2021-07-06

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