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A SPEA-Based Multimetric Routing Protocol for Intelligent Transportation Systems
Abstract
For efficient communication among vehicles or infrastructure, an effective routing protocol for Intelligent Transportation Systems is profoundly required. Because of high mobility and recurrent topology deviations of Vehicular Ad-hoc Networks (VANets), finding a linked route with adequate delay is an important challenge with many limits and hitches. To overcome this, an efficient multimetric routing protocol is proposed here for Intelligent Transportation Systems. The proposed protocol considers five metrics - Link Capacity, Connectivity, Euclidean Distance, Relative Velocity and End-to-End Delay. The aim of the proposed method is maximizing the Packet Delivery Ratio (PDR) while minimizing the delay of the network. It tries to identify the path that has minimum delay, distance and relative velocity with maximum bandwidth and V2V connectivity. For this, the protocol adopts Strength Pareto Evolutionary Algorithm (SPEA) to optimize the five metrics and calculate the fitness value. Then the fitness value is used to find out the optimal path using a novel path finding algorithm for efficient data delivery to the target destination. Extensive simulation outcomes disclose that the proposed strategy shows an improvement of 6% in PDR, 11% in end-to-end delay and 2% improvement in hop-count as compared to the recent similar method.
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“To account for real-time changes in traffic conditions, various optimization algorithms such as the improved ant colony algorithm using congestion avoidance (IACA CAA ) [86], quantum approximate optimization algorithm (QAOA) [74], and strength Pareto evolutionary algorithm (SPEA) [87] are introduced.”
From Vehicle-to-Everything Communication in Intelligent Connected Vehicles: A Survey and Taxonomy (2025) · cites this paper as [87]
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References 42 · Cited by 39
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Metadata
- Authors
- Ghorai, C., Shakhari, S., & Banerjee, I.
- Affiliations
- Indian Institute of Engineering Science and Technology, Shibpur (IN)
- Venue
- IEEE Transactions on Intelligent Transportation Systems
- Published
- 2021-11
- Volume
- 22
- Issue
- 11
- Pages
- 6737-6747
- ISSN
- 1524-9050 (ISSN-L)
- 1558-0016
- OpenAlex
- W3032027491
- Cited by
- 39
- References
- 42
- Citations by year
- 2026: 3 · 2025: 7 · 2024: 6 · 2023: 9 · 2022: 8 · 2021: 5
- FWCI
- 1.98
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- IEEE Transactions on Intelligent Transportation Systems (publishedVersion)
- Funders
- University Grants Commission, Government of India (2014-15/RGNF-2014-15D-GEN-WES-74306)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Vehicular Ad Hoc Networks (VANETs)
- Physical Sciences › Engineering › Control and Systems Engineering › Traffic control and management
- Physical Sciences › Computer Science › Computer Networks and Communications › Mobile Ad Hoc Networks
- Keywords
- vehicular ad hoc networks, intelligent transportation systems, SPEA, packet delivery ratio, end-to-end delay, link capacity, connectivity, relative velocity, pathfinding algorithms, multi-objective optimization, vehicle-to-vehicle communication
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- Ghorai, C., Shakhari, S., & Banerjee, I. (2021). A SPEA-Based Multimetric Routing Protocol for Intelligent Transportation Systems. IEEE Transactions on Intelligent Transportation Systems. https://doi.org/10.1109/tits.2020.2994362