Internet of Things Enabled Vehicular and Ad Hoc Networks for Smart City Traffic Monitoring and Controlling: A Review

Sharif, Abida; Li, Jian Ping; Saleem, Muhammad Asim

doi:10.35444/ijana.2018.10031

Cited by 23 publications

(16 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this work [ 6 ] to overcome interference between MANET (Wi-Fi IEEE802.11b) and WSN (ZigBee IEEE802.15.4) communication, the authors defined usable non-overlapping channels for WSN and MANET. Other related works considering convergence scenarios are [ 7 , 8 , 9 ].…”

Section: Related Workmentioning

confidence: 99%

Multilayered Network Model for Mobile Network Infrastructure Disruption

Hrabcak

Dobos

Papaj

et al. 2020

Sensors

View full text Add to dashboard Cite

In this paper, the novel study of the multilayered network model for the disrupted infrastructure of the 5G mobile network is introduced. The aim of this study is to present the new way of incorporating different types of networks, such as Wireless Sensor Networks (WSN), Mobile Ad-Hoc Networks (MANET), and DRONET Networks into one fully functional multilayered network. The proposed multilayered network model also presents the resilient way to deal with infrastructure disruption due to different reasons, such as disaster scenarios or malicious actions. In the near future, new network technologies of 5G networks and the phenomenon known as the Internet of Things (IoT) will empower the functionality of different types of networks and interconnects them into one complex network. The proposed concept is oriented on resilient, smart city applications such as public safety and health and it is able to provide critical communication when fixed network infrastructure is destroyed by deploying smart sensors and unmanned aerial vehicles. The provided simulations shows that the proposed multilayered network concept is able to perform better than traditional WSN network in term of delivery time, average number of hops and data rate speed, when disruption scenario occurs.

show abstract

Section: Related Workmentioning

confidence: 99%

Multilayered Network Model for Mobile Network Infrastructure Disruption

Hrabcak

Dobos

Papaj

et al. 2020

Sensors

View full text Add to dashboard Cite

show abstract

“…3 -Communication Volume: (Sharif et al, 2018) connected vehicles have the ability to receive and provide data through increasingly efficient communication. The amount of data flow can become very large and be a problem.…”

Section: Criteria Of Comparisonmentioning

confidence: 99%

“…V Vehi ehicles cles ha hav ve e no now w t the he abil ability ity t to o sensend d spespecific cific mess messages ages to to ot other her v vehic ehicles les a and nd ro road ad infrastr infrastructures uctures (Sharif et al, 2018); V2V (Vehicle To Vehicle) and V2I (Vehicle To Infrastructure) communications are called "connected". Such a vehicle controlled by a computer system is called a Connected and Autonomous Vehicle (CAV).…”

Section: Intr Introduc Oduction Tionmentioning

confidence: 99%

Management of Intelligent Vehicles: Comparison and Analysis

Marcillaud

Camps

Combettes

et al. 2020

Proceedings of the 12th International Conference on Agents and Artificial Intelligence

View full text Add to dashboard Cite

The main purpose of Connected and Autonomous Vehicles (CAVs) is to ensure optimal safety while improving user comfort. Many studies address the problem of CAVs to improve specific driving situations (intersection management, traffic flow management, etc.). In this paper, we propose both a comparison of these systems according to a set of criteria and an analysis to assist the development of CAVs fleets. This analysis shows that, among other, the ad-hoc algorithms use similar data (position, speed, etc.) and that the decisions for vehicles are based on cooperative processing for specific situations. The objective of this paper is to provide a guide for the design of CAVs fleet capable of managing all traffic situations. analysis, a guideline for a CAVs fleet capable of managing all road situations is proposed. The paper is organised as follow: section 2 defines the requirements and criteria required. Then, sections 3 to 5 describe existing CAV fleet dedicated to each traffic situation and analyse them based on the previously defined criteria. section 6 presents the synthesis of all the studied system. Before concluding, section 7 proposes a guideline for designing a robust CAV fleet. 2 REQUIREMENTS OF A CAVs FLEET As a driver, a human or an ADS, has the duty to ensure safety of all passengers. We assume that this point is covered in all the studied systems. The comparison is based on the situations addressed in these systems. Multiple criteria such as the purpose of the system, the traffic mix, and the volume of communications are used to study them. 2.1 Focus on the Addressed Situations During a journey, a vehicle can encounter many different situations such as: (i) traffic congestion, (ii) intersections and (iii) lane merging. These three situations are focused in the current research works.

show abstract

“…A representative application is traffic management, where decisions are made in real time to reduce traffic congestion. In [66], traffic congestion in smart cities is studied by using the Internet of Things and ad-hoc networks. In another recent study [67], the authors proposed traffic lights management using a vehicular priority estimation and route discovery method.…”

Section: Decision Makingmentioning

confidence: 99%

Trust enforcement in vehicular networks: challenges and opportunities

El-Sayed

Chaqfeh

Kassabi

et al. 2019

IET wirel. sens. syst.

View full text Add to dashboard Cite

A major objective of vehicular networking is to improve road safety and travel convenience. The experience of individual vehicles on traffic conditions and travel situations can be shared with other vehicles for improving their route planning and driving decisions. Nevertheless, the frequent occurrence of adversary vehicles in the network is unavoidable. These vehicles may engage in various malicious activities affecting the overall network performance. To control and monitor effectively security threats in vehicular networks, an efficient trust management system should be employed to identify the trustworthiness of individual vehicles and detect malicious drivers. This study provides a review of the research efforts aimed at enabling trust in vehicular environments. The major challenges are highlighted, and an edge-based architecture is proposed as a supportive platform. Furthermore, existing models proposed for trust evaluation, aggregation, propagation and decision making are reviewed. Finally, the current directions to enforce trust in vehicular environments are highlighted.

show abstract

Internet of Things Enabled Vehicular and Ad Hoc Networks for Smart City Traffic Monitoring and Controlling: A Review

Cited by 23 publications

References 13 publications

Multilayered Network Model for Mobile Network Infrastructure Disruption

Multilayered Network Model for Mobile Network Infrastructure Disruption

Management of Intelligent Vehicles: Comparison and Analysis

Trust enforcement in vehicular networks: challenges and opportunities

Contact Info

Product

Resources

About