EC-MOPSO: an edge computing-assisted hybrid cluster and MOPSO-based routing protocol for the Internet of Vehicles

Jamalzadeh, Melody; Maadani, Mohsen; Mahdavi, Mojdeh

doi:10.1007/s12243-021-00892-6

Cited by 14 publications

(8 citation statements)

References 54 publications

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“…An IoV network is an emerging technology that includes internet-supported connected vehicles capable of sending and receiving data to enhance the safety of drivers and passengers, which provides novel and exciting customer experiences. 13,21,22 IoV is a massive interactive network that allows for communication between nearby vehicles, moving vehicles, and stationary infrastructures often mounted on the side of the road. IoV's primary objective is to increase driver and passenger comfort and safety.…”

Section: Iov Conceptmentioning

confidence: 99%

Blockchain‐based internet of vehicles (BIoV): A systematic review of surveys and reviews

Hemmati

Zarei

Souri

2023

Security and Privacy

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The Internet of vehicles (IoV) has appeared as an effective method of obtaining an intelligent transportation system able to deliver various innovative solutions and enable several applications as a replacement for vehicular ad‐hoc networks (VANETs). To help IoV contexts, enormous quantities of information are created and transmitted between various communication components wirelessly across multiple channels, which may entice attackers and put the network at risk. Security is one of the vital concerns and critical issues in VANETs and IoV networks. Blockchain is employed to create a distributed and secure IoV to overcome some centralized concerns and enhance the network architecture. This article presents a systematic and detailed review by selecting 28 review articles from 2018 to 2022 on blockchain‐based IoV (BIoV). We investigate the latest review and survey articles regarding their aspects, contributions, findings, limitations, and strong points to address unsolved problems of BIoV. In this article, the review/survey articles are systematically reviewed to resolve taxonomy aspects intended for BIoV. We provide a new taxonomy and discuss security concerns, open issues, and future directions so that researchers in this field can quickly and easily access recent content and do not need to read numerous review articles.

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Section: Iov Conceptmentioning

confidence: 99%

Blockchain‐based internet of vehicles (BIoV): A systematic review of surveys and reviews

Hemmati

Zarei

Souri

2023

Security and Privacy

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“…Today ITS applications in many nations are expanding, whereby the rapid growth of networked sensors and context‐aware computing systems, along with emerging communication technologies, have made the recognition of smart cities possible shortly 2 . The Internet of Things (IoT) technology has faced an increase in the number of dynamic objects, including connected vehicles, which formed the Internet of Vehicles (IoV), and made our lives easier, safer, and smarter 3–5 . VANETs, as the central infrastructure of the IoV ecosystem, aim to help drivers with possible inter‐vehicle communication (IVC) and real‐time data propagation even in high mobility, helping safety driving and receiving alerts for road hazardous 6,7 .…”

Section: Introductionmentioning

confidence: 99%

“…2 The Internet of Things (IoT) technology has faced an increase in the number of dynamic objects, including connected vehicles, which formed the Internet of Vehicles (IoV), and made our lives easier, safer, and smarter. [3][4][5] VANETs, as the central infrastructure of the IoV ecosystem, aim to help drivers with possible inter-vehicle communication (IVC) and realtime data propagation even in high mobility, helping safety driving and receiving alerts for road hazardous. 6,7 Plug-in electric vehicles (PEVs) and unmanned aerial vehicles (UAVs), as an emerging part of energy-aware VANETs, have a significant impact on the formation of the IoV.…”

mentioning

confidence: 99%

Data‐centric approaches in the Internet of Vehicles: A systematic review on techniques, open issues, and future directions

Partovi

Zarei

Rahmani

2022

Int J Communication

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The Internet of Vehicles (IoV) is an emerging network of connected vehicles as a branch of dynamic objects in the Internet of Things (IoT) ecosystem. With the rapid development of IoV, real-time data-centric applications would be a significant concern in academia and industry to promote efficiency and realize modern services in such high dynamic networks. In this paper, we aim to present a systematic literature review (SLR) for the IoV networks to investigate the different attitudes in the field of data-centric approaches. This paper systematically categorizes the 48 recent articles on data-driven techniques in the IoV field published from 2017 to March 2022. A complete technical taxonomy is presented for the data-centric approaches in IoV according to the content of current studies. Collected methods are chosen with the SLR process, and they are investigated considering some technical classifications including IoV security, data traffic, vehicular social network, data propagation, energy, and multimedia categories. The achievements, drawbacks, and new findings of studies are carefully investigated for addressing the deficiencies, as well as emphasizing future research direction and open issues of data-driven approaches in IoV. K E Y W O R D S data trading system, data traffic management, data transmission, Internet of Vehicles, IoV | INTRODUCTIONVehicular ad hoc networks (VANETs) as highly dynamic but well-organized emerging networks play an effective role in accelerating the improvement of the intelligent transportation systems (ITS) application. 1 Today ITS applications in many nations are expanding, whereby the rapid growth of networked sensors and context-aware computing systems, along with emerging communication technologies, have made the recognition of smart cities possible shortly. 2 The Internet of Things (IoT) technology has faced an increase in the number of dynamic objects, including connected vehicles, which formed the Internet of Vehicles (IoV), and made our lives easier, safer, and smarter. [3][4][5] VANETs, as the central infrastructure of the IoV ecosystem, aim to help drivers with possible inter-vehicle communication (IVC) and realtime data propagation even in high mobility, helping safety driving and receiving alerts for road hazardous. 6,7 Plug-in electric vehicles (PEVs) and unmanned aerial vehicles (UAVs), as an emerging part of energy-aware VANETs, have a significant impact on the formation of the IoV. 8 Connected vehicles in IoV are intelligent vehicles with a complicated software platform. Promoting vehicles from high dynamic nodes to intelligent vehicles with diverse communication

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“…VANETs are able to give prior warning of traffic accidents, develop driving routes, intelligent traffic management and query road information. Due to high mobility of nodes and frequent changes in VANET topology, providing an appropriate routing protocol for VANETs is a significant challenge 4‐6 . VANETs can support different safety and real‐time applications by using various communications between vehicle nodes such as V2V(vehicle‐to‐vehicle), V2I (vehicle‐to‐infrastructure), and hybrid or V2X (vehicle‐to‐everything).…”

Section: Introductionmentioning

confidence: 99%

“…Due to high mobility of nodes and frequent changes in VANET topology, providing an appropriate routing protocol for VANETs is a significant challenge. [4][5][6] VANETs can support different safety and real-time…”

mentioning

confidence: 99%

Clustering‐based routing protocol using gray wolf optimization and technique for order of preference by similarity to ideal solution algorithms in the vehicular ad hoc networks

Kheradmand

Ghaffari

Gharehchopogh

et al. 2022

Concurrency and Computation

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Summary In a vehicular ad‐hoc network (VANET), each vehicle is equipped with an on‐board unit to communicate vehicle to vehicle or vehicle to fixed infrastructure. VANET technology is offered to provide many facilities to passengers and drivers, including safety, entertainment, mobile commerce, driver assistance, and emergency alarms. VANET has unique features such as high‐speed node mobility and network topology dynamics. These special features cause many problems such as increased transmission delays and packet loss. On the other hand, providing a good routing plan for VANET is a critical issue. Therefore, this article proposes a cluster‐based routing using in‐vehicle meta‐heuristic algorithms (CRMHA‐VANET) which has two phases. In the first stage, the vehicles are clustered and the most suitable cluster head (CH) is selected using the gray wolf optimization algorithm (GWO). In the next step, the next suitable CH is selected for data transmission in direct paths using the technique for order of preference by similarity to ideal solution (TOPSIS). The performance of the proposed method is analyzed through several criteria such as package delivery rate, end‐to‐end delay and throughput. CRMHA‐VANET results in a 10% to 25% improvement over all performance metrics, that is, packet delivery rate, latency, and throughput, over CRBP (clustering routing based on PSO [particle swarm optimization]), WCV (weight based clustering for VANET), and AODV‐CD methods.

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EC-MOPSO: an edge computing-assisted hybrid cluster and MOPSO-based routing protocol for the Internet of Vehicles

Cited by 14 publications

References 54 publications

Blockchain‐based internet of vehicles (BIoV): A systematic review of surveys and reviews

Blockchain‐based internet of vehicles (BIoV): A systematic review of surveys and reviews

Data‐centric approaches in the Internet of Vehicles: A systematic review on techniques, open issues, and future directions

Clustering‐based routing protocol using gray wolf optimization and technique for order of preference by similarity to ideal solution algorithms in the vehicular ad hoc networks

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