Simulation of IoT-based Vehicular Ad Hoc Networks (VANETs) for Smart Traffic Management Systems

Abstract

Nowadays, traffic congestion and increasing road accidents have become a major concern for both developed and developing countries. To overcome this challenge, an internet of things- (IoT-) based Vehicular Ad Hoc Network (VANET) system is proposed in which vehicles interact with other vehicles and infrastructure. These self-organized ad hoc vehicle networks not only boost traffic safety but also enhances the efficiency of traffic management systems. The VANET systems are beneficial in busy locations, where improved data dissemination protocols are used to categorize a vehicle’s transmission. However, the performance of these VANETs is also hampered by network splits and insufficient connections. Under these situations, the proposed simulation model reduces broadcast storms by minimizing redundancies, which is equally beneficial for both rural and urban settings. The suggested Next Forwarder Vehicle (NFV) protocol is based on three factors: position, distance, and orientation. Moreover, the DDP4V technique is used to analyse each of these features. Results indicate that DDP4V is compatible with 96% of all traffic scenarios and simulation durations. It can transport data packets 60% faster due to its broadcast suppression capabilities. Also, in comparison to AID and DBRS, DDP4V has fewer dispersed packets, which results into reduced retransmissions. For 200 automobiles/km2, all these techniques accomplish 35–40% of the needed cars. However, the coverage also faces some restrictions since data packets only reach vehicles on the same side as the originating vehicle. Similarly, DDP4V delivers 90% coverage for 400 vehicles/km2, which is 30% greater than prior techniques. It is observed that the proposed protocol reduces broadcast storms by employing a waggon wheel to choose the next forwarding vehicle. In high-traffic areas, it outperforms standard techniques. Similarly, it employs a patchwork of vehicles outside of the impacted region to convey data. The industrial IoT-based VANETs provide an effective tool to monitor and control traffic besides reducing the number of traffic accidents.

An Internet of Things (IoT)-Based Optimization to Enhance Security in Healthcare Applications

“…Parameter normalization uses mean and standard deviation to normalize unstructured data. (2) shows how to normalize unstructured data using the z-score variable:…”

“…Today, IoT is an interesting topic in communication networks because it has the power to link the Internet with nearly endless kinds and numbers of sensors and devices and has a direct in uence on our daily lives. ere have been a lot of studies done in this area on the integration of various applications with the Internet of ings (IoT) [1,2]. Although this technology has lately been intensively considered in the eld of mobile healthcare, it has not yet been broadly implemented.…”

Aggregation-Based Dynamic Channel Bonding to Maximise the Performance of Wireless Local Area Networks (WLAN)

“…It is common for consumers to choose "Auto" channel selection rather than a particular channel when setting up an AP. Because of this, we only allow the use of orthogonal channels that have been demonstrated to not interfere with each other while transmitting data [28][29][30]. For lack of space in North America, we looked Figure 4 indicates that interfering APs (blue) utilise a different channel than the target SR-WLAN.…”

Optimization of Vehicular Networks in Smart Cities: From Agile Optimization to Learnheuristics and Simheuristics

“…This generates a significant number of alert messages, which may cause network congestion and QoS breakdown. In this context, Rizwan et al [ 87 ] proposed a simulation model to reduce broadcast storms by reducing redundancy. Based on three factors—position, distance, and orientation, they developed the next forwarder vehicle (NFV) protocol and, by using the DDP4V technique, analyzed each of these features.…”