Vehicular Grouping and Network Formation: Virtualization of Network Self-healing

Al-Hamid, Duaa Zuhair; Al-Anbuky, Adnan

doi:10.1007/978-3-030-05081-8_8

Cited by 10 publications

(5 citation statements)

References 15 publications

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“…Since some of the topics that have been discussed are related to clustering methods, we need to discuss how offering a backup node within the cluster can ensure less latency and further reliability. In [133,134], dynamic self-healing vehicle network organization methods considering the deviation of key network connection components were proposed. The design ideas of these methods can be applied to the A2S integrated MIoT with mobile nodes.…”

Section: Data Cachingmentioning

confidence: 99%

A Survey on Air-to-Sea Integrated Maritime Internet of Things: Enabling Technologies, Applications, and Future Challenges

Liu,

Zhu,

Huang

et al. 2023

JMSE

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Future generation communication systems are exemplified by 5G and 6G wireless technologies, and the utilization of integrated air-to-sea (A2S) communication infrastructure is employed to extend network coverage and enhance data throughput to support data-driven maritime applications. These ground-breaking techniques have promoted the rapid development of the maritime internet of things (MIoT). In particular, the integration of air base stations (ABSs) in the MIoT can achieve broadband, low-delay, and reliable wireless transmissions. Considering the potential of ABS-enabled communications, this survey presents the state of the art in the A2S integrated MIoT. More specifically, relevant A2S integrated MIoT architectures are discussed together with the role of their building blocks. Next, we introduce the enabling technologies, including the sensor, communication, data processing and storage, and security and privacy protection techniques. Then, resource allocation, cloud/edge computing and caching, routing protocols, and spatial location optimization in the maritime environment are discussed and grouped based on their performance targets. Additionally, we also show the potential applications of the A2S integrated MIoT in marine environment monitoring, traffic, navigation safety, and resources management. Finally, several future challenges in the area of the A2S integrated MIoT are given, related to the technical security, reliability, and energy efficiency, etc.

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Section: Data Cachingmentioning

confidence: 99%

A Survey on Air-to-Sea Integrated Maritime Internet of Things: Enabling Technologies, Applications, and Future Challenges

Liu,

Zhu,

Huang

et al. 2023

JMSE

View full text Add to dashboard Cite

show abstract

“…can be analyzed so that the most appropriate reorchestration structure can be applied to the physical network [3,25]. This can support flexible network operation and lessen the impact of unexpected network behavior [7].…”

Section: Related Workmentioning

confidence: 99%

“…The activities of these functions are presented From the communication dialogue that is based on the role/function of point of view, the exchanged data between the nodes can result in the formu From the communication dialogue that is based on the role/function of the node's point of view, the exchanged data between the nodes can result in the formulation of a star or tree structure depending on the use case. In one of our previous works [7], we presented the communication messages for a self-healing vehicular network. In this paper, we present a general communication dialogue to serve the virtual model as well as the physical Future Internet 2023, 15, 291 6 of 24 network implementation.…”

Section: System Modelmentioning

confidence: 99%

“…Herein, cloud-based virtualization is used to develop and provide specified functional configuration parameters to physical nodes. As a result, the cloud can assist with performance analysis via the virtual unit, where possible reorchestration of network behavior can be deployed and tested prior to real-world implementation, paving the way for the cyber-physical system [7][8][9].…”

Section: Introductionmentioning

confidence: 99%

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A Novel SDWSN-Based Testbed for IoT Smart Applications

Al-Hamid,

Karegar,

Chong

2023

Future Internet

Self Cite

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Wireless sensor network (WSN) environment monitoring and smart city applications present challenges for maintaining network connectivity when, for example, dynamic events occur. Such applications can benefit from recent technologies such as software-defined networks (SDNs) and network virtualization to support network flexibility and offer validation for a physical network. This paper aims to present a testbed-based, software-defined wireless sensor network (SDWSN) for IoT applications with a focus on promoting the approach of virtual network testing and analysis prior to physical network implementation to monitor and repair any network failures. Herein, physical network implementation employing hardware boards such as Texas Instruments CC2538 (TI CC2538) and TI CC1352R sensor nodes is presented and designed based on virtual WSN- based clustering for stationary and dynamic networks use cases. The key performance indicators such as evaluating node (such as a gateway node to the Internet) connection capability based on packet drop and energy consumption virtually and physically are discussed. According to the test findings, the proposed software-defined physical network benefited from “prior-to-implementation” analysis via virtualization, as the performance of both virtual and physical networks is comparable.

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“…The nodes in a vehicular grouping approach are supported by the concept of WSN three core functions, namely the 'Leaf or Sensor Node', 'Router Node', and 'IoT Gateway Node'. This could be instrumental in forming physical or virtual organisations for a flexible vehicular sensor network [10]. As part of our vehicular grouping concept, we are looking at the self-formation approach considering the multihop managed tree topology structure based on a suggested highway traffic scenario in this paper.…”

Section: Proposed Vehicular Network Grouping Modelmentioning

confidence: 99%

Vehicular Grouping Protocol: Towards Cyber Physical Network Intelligence

Al-Hamid

Al-Anbuky

2021

2021 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing &Amp; Communications (GreenCom) An

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Vehicular 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 safetyrelated 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.

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Vehicular Grouping and Network Formation: Virtualization of Network Self-healing

Cited by 10 publications

References 15 publications

A Survey on Air-to-Sea Integrated Maritime Internet of Things: Enabling Technologies, Applications, and Future Challenges

A Survey on Air-to-Sea Integrated Maritime Internet of Things: Enabling Technologies, Applications, and Future Challenges

A Novel SDWSN-Based Testbed for IoT Smart Applications

Vehicular Grouping Protocol: Towards Cyber Physical Network Intelligence

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