Reliability based multi-objective optimized routing protocol for VANETs using pelican optimization algorithm

A developing methodology that may be used in intelligent transportation frameworks is Vehicular Ad hoc Networks (VANETs). For VANET systems to be dependable, routing protocols are necessary. The innovative paradigm Reliability Based Multi-Objective Optimized Routing Protocol for VANETs (RBMOORPV) is proposed in this research. The structure consists of three levels: the modelling of the VANET network at level 1, the routing condition at level 2, which is dependent on dependability and a meta heuristic algorithm at level 2, and the routing algorithm at level 3. The following step describes the real network through an optimization block. The overall structure also has an optimization block, which regulates the reliability, meta heuristic algorithm, and routing blocks' individual characteristics. The Pelican Optimization Algorithm (POA) provides the basis for the optimization, which is given from a multi-objective standpoint. This covers the stages of exploration and exploitation. Two levels were used to accomplish the evaluation. The first was the RBMOORPV evaluation on the basis of the network simulator, and the second was the POA evaluation utilizing benchmarking mathematical functions. The acquired measures, such as delta metric, set coverage, Packet Delivery Ratio (PDR), hyper-volume, and End to End (E2E) delay, show that POA and RBMOORPV with POA are superior to their base techniques.

Authors

Institutions

Publication Details

Journal
Discover Applied Sciences
Published
2025-03-17
DOI
https://doi.org/10.1007/s42452-025-06683-1
Citations
2
Primary Topic
Vehicular Ad Hoc Networks (VANETs)
Type
article
Field-Weighted Citation Impact
1.46
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Reliability based multi-objective optimized routing protocol for VANETs using pelican optimization algorithm

C. Vijesh Joe, R. Muthaiyan, S. Senthilkumar, M. Kavitha
2 citations
Discover Applied Sciences
Vehicular Ad Hoc Networks (VANETs)
1.46
article

Reliability based multi-objective optimized routing protocol for VANETs using pelican optimization algorithm

C. Vijesh Joe, R. Muthaiyan, S. Senthilkumar, M. Kavitha
article en
2 citations

Abstract

A developing methodology that may be used in intelligent transportation frameworks is Vehicular Ad hoc Networks (VANETs). For VANET systems to be dependable, routing protocols are necessary. The innovative paradigm Reliability Based Multi-Objective Optimized Routing Protocol for VANETs (RBMOORPV) is proposed in this research. The structure consists of three levels: the modelling of the VANET network at level 1, the routing condition at level 2, which is dependent on dependability and a meta heuristic algorithm at level 2, and the routing algorithm at level 3. The following step describes the real network through an optimization block. The overall structure also has an optimization block, which regulates the reliability, meta heuristic algorithm, and routing blocks' individual characteristics. The Pelican Optimization Algorithm (POA) provides the basis for the optimization, which is given from a multi-objective standpoint. This covers the stages of exploration and exploitation. Two levels were used to accomplish the evaluation. The first was the RBMOORPV evaluation on the basis of the network simulator, and the second was the POA evaluation utilizing benchmarking mathematical functions. The acquired measures, such as delta metric, set coverage, Packet Delivery Ratio (PDR), hyper-volume, and End to End (E2E) delay, show that POA and RBMOORPV with POA are superior to their base techniques.

Discover Applied SciencesVol. 7(4)
Central University of Tamil Nadu (IN), Tirunelveli Medical College (IN), Open International University for Alternative Medicines (IN), E.G.S. Pillay Engineering College
Openalex Percentile: Top 19%
Vehicular Ad Hoc Networks (VANETs)
1.46
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.