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

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, driv...

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Bibliographic Details
Published in:Concurrency and computation Vol. 34; no. 23
Main Authors: Kheradmand, Behbod, Ghaffari, Ali, Soleimanian Gharehchopogh, Farhad, Masdari, Mohammad
Format: Journal Article
Language:English
Published: Hoboken, USA John Wiley & Sons, Inc 25.10.2022
Wiley Subscription Services, Inc
Subjects:
Algorithms
Clustering
Data transmission
gray wolf optimization
Heuristic methods
Mobile ad hoc networks
Network latency
Network topologies
Optimization
Particle swarm optimization
Passenger safety
Performance measurement
routing
Routing (telecommunications)
Similarity
TOPSIS
vehicular ad hoc network
ISSN:1532-0626, 1532-0634
Online Access:Get full text
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Summary: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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ISSN:1532-0626
1532-0634
DOI:10.1002/cpe.7209