Vehicular Grouping Protocol: Towards Cyber Physical Network Intelligence

Simple item page
aut.event.date2021-12-06 to 2021-12-08en_NZ
aut.event.place, Melbourneen_NZ
aut.researcherAl-Anbuky, Adnan
dc.contributor.authorAlHamid, Den_NZ
dc.contributor.authorAl-Anbuky, Aen_NZ
dc.date.accessioned2022-06-01T02:55:25Z
dc.date.available2022-06-01T02:55:25Z
dc.date.copyright2021-12-06en_NZ
dc.date.issued2021-12-06en_NZ
dc.description.abstractVehicular network structures present a range of challenges and opportunities for efficiently managing awareness of road dynamics and network connectivity. An enhanced manageable organization can offer a better reaction to safety-related road events, facilitate dynamic topological flexibility, relate to road layout, and interact with unpredictable distribution of the vehicles. Vehicular grouping is one of the suggested structural techniques that offers a great benefit in grouping vehicles and modelling data routing, giving importance to road structure and the occurrence of a dynamic event within the associated group of vehicles. The approach discussed in this paper is based on a dynamic grouping through phases of self-formation, self-joining, self-leaving and self-healing as key components of the protocol operational cycle. Both vehicular physical connected resources and the remote computational cloud could be used for data processing and monitoring of road dynamics. This, in effect, encourages an Internet of Things (IoT) environment that enhances the dynamic performance through direct interaction between the virtualized network of vehicles and the physical network on the road leading to Internet of Vehicles (IoV). The objective of this paper is to develop a concept of network self-formation algorithm based on vehicle grouping strategy wherein the node can flexibly switch its function, be it an IoT gateway or a router node, based on the proposed fitness election model to be elected as group head. Testing using Contiki-Cooja simulator has been implemented on various road condition scenarios reflects the operational ability of the algorithm taking into consideration the network performance based on the ultimate capacity of the road.
dc.identifier.citationIn 2021 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, Physical & Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics (Cybermatics) (pp. 9-16). IEEE.
dc.identifier.doi10.1109/iThings-GreenCom-CPSCom-SmartData-Cybermatics53846.2021.00017
dc.identifier.urihttps://hdl.handle.net/10292/15180
dc.publisherIEEE
dc.relation.urihttps://ieeexplore.ieee.org/document/9694182en_NZ
dc.rightsCopyright © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
dc.rights.accessrightsOpenAccessen_NZ
dc.subjectVehicular network; Self-formation; Wireless sensor network; Virtualization; IoT; IoV
dc.titleVehicular Grouping Protocol: Towards Cyber Physical Network Intelligenceen_NZ
pubs.elements-id444779
pubs.organisational-data/AUT
pubs.organisational-data/AUT/Faculty of Design & Creative Technologies
pubs.organisational-data/AUT/PBRF
pubs.organisational-data/AUT/PBRF/PBRF Design and Creative Technologies
pubs.organisational-data/AUT/PBRF/PBRF Design and Creative Technologies/PBRF ECMS
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Vehicular Grouping Protocol Towards Cyber Physical Network Intelligence_.pdf
Size:
657.34 KB
Format:
Adobe Portable Document Format
Description:
Conference contribution
Download
License bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
AUT Grant of Licence for Tuwhera Jun 2021.pdf
Size:
360.95 KB
Format:
Adobe Portable Document Format
Description:
Download
Collections
School of Engineering, Computer and Mathematical Sciences - Te Kura Mātai Pūhanga, Rorohiko, Pāngarau