A Routing in VANET Towards Smart Business Cities Using Optimization Techniques

A Routing in VANET Towards Smart Business Cities Using Optimization Techniques

R. Naresh, K. Lakshmi Narayanan, C. N. S. Vinoth Kumar, S. Senthilkumar
DOI: 10.4018/979-8-3693-1818-8.ch001
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Abstract

There has been an increase in traffic jams and accidents. Here the authors plan to incorporate vehicular adhoc network (VANET), smart cities, and big data. The vehicles are treated as nodes in a network. This improves the quality of city life with safe and secure drivability. The chapter improves the VANET safety and efficiency. They compare different optimization methods such as ant colony optimization (ACO), whale optimization algorithm (WOA). Also they do a simulation study of the maximum number of nodes that a cluster can serve and the actual number of cars acquired in the cluster differential and number of packets that are transported to the destinations during the course of a simulation required to reduce number of groups with VNS. The significant improvements in terms of optimal route and reducing the number of clusters with improved results are explored.
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1. Introduction

In recent days there is increase in traffic jams, accidents this creates an unaware situation of current status this creates a drag and delay in day-to-day life. Here we plan to incorporate Vehicular adhoc network (VANET), Smart Cities and Big Data here the vehicles are treated as nodes in a network this improves the quality of city life with safe and secure drivability. VANET is utilized to improve the Safety features like lane assistance, avoiding vehicle collision, traffic minimization and also provide the comfort like payment process in Toll, Access of internet and fuel stations. Big data is another concept which helps to handle massive data that helps to improve the traffic management process and its planning. During this process Vanet creates large data that are mapped to Bigdata attributes. Our proposed work is to improve the vanet safety and efficiency. Here we compare different optimization methods such as Ant Colony optimization (ACO), Whale Optimization Algorithm (WOA) also we do a simulation study maximum number of nodes that a cluster can serve and the actual number of cars acquired in the cluster a differential, and number of packets that are transported to the destinations during the course of a simulation required to reduce number of groups with VNS. The Significant improvements in terms of optimal route, reducing the number of clusters with improved results.

Vehicular Ad-Hoc Networks (VANETs) is a popular communication option utilized in several segments of the automotive industry since vehicle-to-vehicle (V2V), and vehicle-to-infrastructure (V2I) communication rates are faster (RSUs). Mobile Ad-hoc Networks (MANETs) is a self-organizing network with a sub-class of VANETs (MANETs) (Sharan, B et al.,2022). The vehicle nodes employed automobiles to provide mobile connectivity. This vehicle is the intelligent machine that is responsible for collecting and processing data from linked devices, such as smartphones, that use the Internet via different signals, such as GPS (GPS) (Mohammed, S. J et al.,2022).

The Smart City act as a Communication to IoT to drive in a safe way. In the automotive industry providing the wireless communication will be a next generation smart city with safe drive. This helps the government to focus on road safety. The passenger and driver both benefit from employing VANET safety technology (Ribeiro, B et al., 2022). Consequently, it is swiftly becoming the most crucial area of research. Information sharing needs to occur anytime and anywhere in VANETs (Radhakrishnan Karne, D. T et al., 2021). Vehicular networking is intended to allow easy linking with high-mobility devices. VANET may employ the application for safety or non-safety purposes with extra value to the passengers and drivers. Traffic jams, unsafe road conditions, probable diversions, and traffic management are all safety applications (Abdus Subhahan, D et al., 2024). Entertainment, urban sensing, driving assistance, weather conditions, and location-based services are just a few of the non-safety uses (Deepa, N et al., 2023).

The Combination of communication with IoT helps to assist safe drive (Hamdi, M. M, et al., 2022). The upcoming generation of automobile industry focuses on the incorporating communication with automobiles for the development of safe and secure smart city environment (Hailaoui, R et al., 2022). The developers and researchers focus on communication system with automobile safety features Thanga Revathi, S, Ramraj, N & Chitra, S (2019).

Figure 1.

VANET in smart city

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