Middleware architecture performance analysis for vehicular ad hoc network

Abstract Implementing Intelligent Transportation Systems (ITS) raises serious safety concerns, directly contributing to good health and well-being by enhancing road safety. Intelligent transport technologies are used by vehicular ad hoc networks (VANET) to enhance traffic flow and safety on the roads aligning with sustainable cities and communities. For this purpose, a variety of techniques have been examined in this article. The design and analysis of middleware architecture for VANET are also covered in this paper, promoting industry, innovation, and infrastructure. Since the automobiles travel deliberately rather than carelessly to connect with roadside equipment by limiting the range of motion, the first implementation of this relies on VANET networks, middleware, and heuristic technique. The VANET network is replacing wireless telephony, mobile nodes are evolving into vehicle nodes, and the transport system is changing to an intelligent transport system. In terms of latency (high 10.14%), power dissipation (less 2.46%), throughput (high 2.82%), and overall cumulative performance (high 3.12%) on different nodes ranging from 100 to 500, the experimentation results show that the middleware and VANET architecture are superior to the heuristic approach, contributing to responsible consumption and production through improved efficiency.

Authors

Institutions

Publication Details

Journal
EURASIP Journal on Wireless Communications and Networking
Published
2025-11-05
DOI
https://doi.org/10.1186/s13638-025-02521-5
Primary Topic
Vehicular Ad Hoc Networks (VANETs)
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Middleware architecture performance analysis for vehicular ad hoc network

Punit Soni, Xiaochun Cheng, Mrinal Paliwal, Purushottam Sharma et al.
EURASIP Journal on Wireless Communications and Networking
Vehicular Ad Hoc Networks (VANETs)
article

Middleware architecture performance analysis for vehicular ad hoc network

Punit Soni, Xiaochun Cheng, Mrinal Paliwal, Purushottam Sharma, Rajender Kumar, Tajinder Kumar, Mandeep Singh
article en

Abstract

Abstract Implementing Intelligent Transportation Systems (ITS) raises serious safety concerns, directly contributing to good health and well-being by enhancing road safety. Intelligent transport technologies are used by vehicular ad hoc networks (VANET) to enhance traffic flow and safety on the roads aligning with sustainable cities and communities. For this purpose, a variety of techniques have been examined in this article. The design and analysis of middleware architecture for VANET are also covered in this paper, promoting industry, innovation, and infrastructure. Since the automobiles travel deliberately rather than carelessly to connect with roadside equipment by limiting the range of motion, the first implementation of this relies on VANET networks, middleware, and heuristic technique. The VANET network is replacing wireless telephony, mobile nodes are evolving into vehicle nodes, and the transport system is changing to an intelligent transport system. In terms of latency (high 10.14%), power dissipation (less 2.46%), throughput (high 2.82%), and overall cumulative performance (high 3.12%) on different nodes ranging from 100 to 500, the experimentation results show that the middleware and VANET architecture are superior to the heuristic approach, contributing to responsible consumption and production through improved efficiency.

EURASIP Journal on Wireless Communications and NetworkingVol. 2025(1)
Chandigarh University (IN), Galgotias University (IN), Swansea University (GB), Energy Safety Research Institute (GB), Innovative Research (United States) (US), Chitkara University (IN)
UK Research and Innovation, Engineering and Physical Sciences Research Council
Openalex Percentile: Top 68%
Vehicular Ad Hoc Networks (VANETs)
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.