Data Ferrying with Swarming UAS in Tactical Defence Networks

Hunjet, Robert; Fraser, Bradley; Stevens, Thomas; Hodges, Laura F.; Mayen, Karina; Barca, Jan Carlo; Cochrane, Madeleine; Cannizzaro, Ricardo; Palmer, Jennifer L.

doi:10.1109/icra.2018.8463151

Cited by 10 publications

(4 citation statements)

References 17 publications

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“…Most of the existing work focus on a cluster-based approach for data dissemination; however, few contributions exist that cover data transportation using vehicles 3,12,18 and ferries. In these contributions, vehicles act as a carrier for data transportation.…”

Section: Discussionmentioning

confidence: 99%

On-demand multi-hop forwarding for sustainable vehicular data transfer network

Bendali

Rahman

Malik

et al. 2021

International Journal of Distributed Sensor Networks

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Smart cities play a vital role to develop a sustainable infrastructure with efficient management of the Internet of things devices. The infrastructure is used to support various applications for smart hospitals, smart factories, and intelligent transportation systems. With the extensive deployment of Internet of things devices, unprecedented growth in data has lead to capacity and transfer issues. In this article, we proposed an efficient data transfer mechanism based on self-sustainable networks over the vehicular environment. Depending on whether the network is connected with vehicles available to support direct connection from the source to destination, we propose end-to-end and hop-by-hop forwarding for vehicular networks that are inherently disconnected. The evaluation results demonstrate that the lifetime of the discovered paths depends on the coverage area, vehicle mobility, and vehicle speed. Therefore, at times redundant disjoint paths are selected for communication. In the proposed work, selected vehicles are used to reach the destination.

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Section: Discussionmentioning

confidence: 99%

On-demand multi-hop forwarding for sustainable vehicular data transfer network

Bendali

Rahman

Malik

et al. 2021

International Journal of Distributed Sensor Networks

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show abstract

“…The motivation was to reduce traffic congestion because of the high data volume on traditional networks. Similarly, Hunjet et al [28] and Usbeck et al [29] uses VDTN and implement data forwarding schemes by using data farriers. A vehicular data dissemination project is implemented in France to reduce load on conventional networks [30].…”

Section: Related Workmentioning

confidence: 99%

Energy-Efficient Massive Data Dissemination through Vehicle Mobility in Smart Cities

Naseer

Liu

Sarkar

2019

Sensors

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One of the main challenges of operating a smart city (SC) is collecting the massive data generated from multiple data sources (DSs) and transmitting them to the control units (CUs) for further data processing and analysis. These ever-increasing data demands require not only more and more capacity of the transmission channels but also results in resource over-provision to meet the resilience requirements, thus the unavoidable waste as a result of the data fluctuations throughout the day. In addition, the high energy consumption (EC) and carbon discharge from these data transmissions posing serious issues to the environment we live in. Therefore, to overcome the issues of intensive EC and carbon emission (CE) of massive data dissemination in SCs, we propose an energy-efficient and carbon reduction approach by using the daily mobility of the existing vehicles as an alternative communications channel to accommodate the data dissemination in SCs. To illustrate the effectiveness and efficiency of our approach, we take the Auckland City in New Zealand as an example, assuming massive data generated by various sources geographically scattered throughout the Auckland region, to the control centres located in the city. Results obtained show that our proposed approach can provide up to four times faster transferring the large volume of data by using the existing daily vehicles’ mobility, than the conventional transmission network. Moreover, our proposed approach offers about 32% less EC and CE than that of conventional network transmission approach.

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“…Palma et al [17] proposed a methodology to perform distant communications using unmanned aerial vehicles. Similarly, Usbeck et al [18] and Hunjet et al [19] proposed data dissemination approach via data ferries. In France, a pilot project is implemented where vehicles are used as data carriers.…”

Section: Related Workmentioning

confidence: 99%

Big Data in Motion: A Vehicle-Assisted Urban Computing Framework for Smart Cities

et al. 2019

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Smart cities are envisioned to facilitate the well-being of the society through efficient management of the Internet of Things resources and the data produced by these resources. However, the enormous number of such devices would result in unprecedented growth in data, creating capacity issues related to the acquisition, transfer from one location to another, storage, and finally the analysis. The traditional networks are not sufficient to support the transfer of this huge amount of data, proving to be costly both in terms of delay and energy consumption. Alternative means of data transfers are thus required to support this big data produced by smart cities. In this paper, we have proposed an efficient data-transfer framework based on volunteer vehicles whereby we employ vehicles to carry data in the direction of the destination. The framework promotes self-belonging, social awareness, and energy conservation through urban computing encouraging participation by citizens. The proposed framework can also facilitate the research community to benchmark their own route selection algorithms easily. Further, we performed an extensive evaluation of the proposed framework based on realistic models of vehicles, routes, data-spots, data chunks to be transmitted and the energy consumed. Our results show the efficacy of the proposed data transfer framework as the energy consumed through vehicles is significantly less than that consumed by transmission over the Internet thereby reducing the carbon footprint. The results also offer several insights into the optimal configuration of a vehicular data transfer network based on analysis of delay, energy consumption, and data-spot utilization. INDEX TERMS Big-data transfer, data center, delay, energy, simulation, Anylogic.

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Data Ferrying with Swarming UAS in Tactical Defence Networks

Cited by 10 publications

References 17 publications

On-demand multi-hop forwarding for sustainable vehicular data transfer network

On-demand multi-hop forwarding for sustainable vehicular data transfer network

Energy-Efficient Massive Data Dissemination through Vehicle Mobility in Smart Cities

Big Data in Motion: A Vehicle-Assisted Urban Computing Framework for Smart Cities

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