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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.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.urihttp://hdl.handle.net/10292/15180
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.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.subjectVehicular network; Self-formation; Wireless sensor network; Virtualization; IoT; IoV
dc.titleVehicular Grouping Protocol: Towards Cyber Physical Network Intelligenceen_NZ
dc.rights.accessrightsOpenAccessen_NZ
dc.identifier.doi10.1109/iThings-GreenCom-CPSCom-SmartData-Cybermatics53846.2021.00017
aut.event.place, Melbourneen_NZ
aut.event.date2021-12-06 to 2021-12-08en_NZ
pubs.elements-id444779


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