Delay management for heterogeneous traffic in vehicular sensor networks using packet fragmentation of low priority data

Abstract Vehicular sensor networks (VSNs) are expected to revolutionize the transportation systems through automated decision‐making. These networks function on the communication between vehicles, traffic infrastructure, and people. One of the major challenges of VSNs is to deal with heterogeneous t...

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Main Authors: Anwar Ahmed Khan, Shama Siddiqui, Muhammad Shoaib Siddiqui
Format: Article
Language:English
Published: Wiley 2024-12-01
Series:IET Communications
Subjects:
Online Access:https://doi.org/10.1049/cmu2.12861
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author Anwar Ahmed Khan
Shama Siddiqui
Muhammad Shoaib Siddiqui
author_facet Anwar Ahmed Khan
Shama Siddiqui
Muhammad Shoaib Siddiqui
author_sort Anwar Ahmed Khan
collection DOAJ
description Abstract Vehicular sensor networks (VSNs) are expected to revolutionize the transportation systems through automated decision‐making. These networks function on the communication between vehicles, traffic infrastructure, and people. One of the major challenges of VSNs is to deal with heterogeneous traffic due to the diverse nature of information and data generated by different types of sensors and devices within the vehicular environment. To ensure an effective operation of the network, it is crucial to offer a differentiated quality of service to each traffic class. Media access control (MAC) protocols offer an opportunity to provide differentiated channel access to the traffic of different priorities. This work is focused on offering comparison of recent MAC schemes in terms of their performance for heterogeneous traffic generated by VSNs. Two protocols FROG‐MAC and UrgMAC have been selected: FROG‐MAC is developed using a simple concept of packet fragmentation, where the packets of lower priority are fragmented to offer an early transmission opportunity to urgent traffic; on the other hand, urgMAC is designed using advanced cross‐layer techniques of two‐tiered service differentiation mechanism, adaptive data rate adjustment mechanism, urgency‐based contention window size adaptation, traffic type adaptive duty cycle, and multimedia message passing. It has been found that the FROG‐MAC outperforms urgMAC in terms of delay, energy consumption and packet delivery ratio.
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spelling doaj-art-526ded370b8b4c718fc896ddc55bcd8b2025-08-20T02:37:09ZengWileyIET Communications1751-86281751-86362024-12-0118201753176410.1049/cmu2.12861Delay management for heterogeneous traffic in vehicular sensor networks using packet fragmentation of low priority dataAnwar Ahmed Khan0Shama Siddiqui1Muhammad Shoaib Siddiqui2Department of Computer Science Millennium Institute of Technology and Entrepreneurship Karachi PakistanDepartment of Computer Science DHA Suffa University Karachi PakistanFaculty of Computer and Information Systems Islamic University of Madinah Madinah Kingdom of Saudi ArabiaAbstract Vehicular sensor networks (VSNs) are expected to revolutionize the transportation systems through automated decision‐making. These networks function on the communication between vehicles, traffic infrastructure, and people. One of the major challenges of VSNs is to deal with heterogeneous traffic due to the diverse nature of information and data generated by different types of sensors and devices within the vehicular environment. To ensure an effective operation of the network, it is crucial to offer a differentiated quality of service to each traffic class. Media access control (MAC) protocols offer an opportunity to provide differentiated channel access to the traffic of different priorities. This work is focused on offering comparison of recent MAC schemes in terms of their performance for heterogeneous traffic generated by VSNs. Two protocols FROG‐MAC and UrgMAC have been selected: FROG‐MAC is developed using a simple concept of packet fragmentation, where the packets of lower priority are fragmented to offer an early transmission opportunity to urgent traffic; on the other hand, urgMAC is designed using advanced cross‐layer techniques of two‐tiered service differentiation mechanism, adaptive data rate adjustment mechanism, urgency‐based contention window size adaptation, traffic type adaptive duty cycle, and multimedia message passing. It has been found that the FROG‐MAC outperforms urgMAC in terms of delay, energy consumption and packet delivery ratio.https://doi.org/10.1049/cmu2.12861delayssensorswireless sensor networks
spellingShingle Anwar Ahmed Khan
Shama Siddiqui
Muhammad Shoaib Siddiqui
Delay management for heterogeneous traffic in vehicular sensor networks using packet fragmentation of low priority data
IET Communications
delays
sensors
wireless sensor networks
title Delay management for heterogeneous traffic in vehicular sensor networks using packet fragmentation of low priority data
title_full Delay management for heterogeneous traffic in vehicular sensor networks using packet fragmentation of low priority data
title_fullStr Delay management for heterogeneous traffic in vehicular sensor networks using packet fragmentation of low priority data
title_full_unstemmed Delay management for heterogeneous traffic in vehicular sensor networks using packet fragmentation of low priority data
title_short Delay management for heterogeneous traffic in vehicular sensor networks using packet fragmentation of low priority data
title_sort delay management for heterogeneous traffic in vehicular sensor networks using packet fragmentation of low priority data
topic delays
sensors
wireless sensor networks
url https://doi.org/10.1049/cmu2.12861
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AT muhammadshoaibsiddiqui delaymanagementforheterogeneoustrafficinvehicularsensornetworksusingpacketfragmentationoflowprioritydata