NDLI: Multi-objective auto-regressive whale optimisation for traffic-aware routing in urban VANET

Content Provider	IET Digital Library
Author	Rewadkar, Deepak Doye, Dharmpal
Abstract	Vehicular ad-hoc network (VANET) is a growing networking concept that has been used increasingly in various applications including traffic alert broadcasting. The main purpose of VANET is to provide safety to the drivers by alerting them to the dangers that may happen. This study presents a traffic-aware routing protocol in VANET by the introduction of multi-objective auto-regressive whale optimisation (ARWO) algorithm. ARWO algorithm selects the best path from the multiple paths by considering the multiple objectives, such as end-to-end delay (EED), link life time, packet delay and distance, in the fitness function. Here, the traffic density and the expected average speed of the vehicle are predicted by the exponential weighted moving average approach. The performance of ARWO protocol is compared with four existing techniques, like stable CDS-based routing protocol, fractional glow worm swarm optimisation, glow worm swarm optimisation, and Whale Optimization Algorithm (WOA), using the metrics, EED, distance, traffic density, and throughput. The simulation results show that the proposed ARWO algorithm achieves EED of 2.941, a distance of 2.15, traffic density of 0.009 and throughput of 0.1, respectively, at maximum constraints, i.e. at a maximum number of vehicles and simulation time and thus proves its efficiency against the comparative protocols.
Starting Page	293
Ending Page	304
Page Count	12
ISSN	17518709
Volume Number	12
e-ISSN	17518717
Issue Number	Issue 4, Jul (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ifs/12/4
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ifs.2018.0002
Journal	IET Information Security
Publisher Date	2018-01-17
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	ARWO Algorithm Autoregressive Processes CDS Communication Network Design, Planning And Routing EED End-to-end Delay Exponential Weighted Moving Average Approach Fitness Function Fractional Glow Worm Swarm Optimisation Intelligent Transport System Intelligent Transportation Link Life Time Mobile Radio System Multiobjective Autoregressive Whale Optimisation Multiple Objectives Multiple Paths Networking Concept Optimisation Optimisation Technique Packet Delay Protocol Range Transmission Device Routing Protocol Simulation Time Statistics Traffic Alert Broadcasting Traffic Density Traffic-aware Routing Protocol Urban VANET Vehicular Ad Hoc Network Vehicular Ad-hoc Network Wireless Environments WOA
Content Type	Text
Resource Type	Article
Subject	Computer Networks and Communications Information Systems Software

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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