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PaFiR : Particle Filter Routing – a predictive relaying scheme for UAV-assisted IoT communications in future innovated networks
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Shao, Baohua and Leeson, Mark S. (2021) PaFiR : Particle Filter Routing – a predictive relaying scheme for UAV-assisted IoT communications in future innovated networks. Internet of Things, 14 . 100077. doi:10.1016/j.iot.2019.100077 ISSN 2543-1536.
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WRAP-PaFiR-particle-filter-routing– predictive-relaying-scheme-UAV-assisted-IoT-communications-future-innovated-networks-Leeson-2019.pdf - Accepted Version - Requires a PDF viewer. Download (1555Kb) | Preview |
Official URL: http://dx.doi.org/10.1016/j.iot.2019.100077
Abstract
Increasing urbanization, smart cities and other cutting-edge technologies offer the prospect of providing more functions to benefit citizens by relying on the substantial data processing and exchange capabilities now possible. This can generate significant unpredictable and unbalanced data loads for the bearing IoT network to support its application and service demands. We thus propose a wireless routing scheme designed to use the Particle Filter algorithm to empower portable smart devices with intelligent capacities for the radio communication system. This facilitates the offloading of traffic from traditional wireless networks and enables the IoT system to adopt unmanned aerial vehicles, thus also offering further innovation to flying network platforms. The proposed PaFiR routing protocol offers the network more scalability, tolerance and resilience, to achieve the goal of smart relaying. Simulation results that demonstrate the routing algorithm designed offers excellent performance when compared with existing wireless relaying schemes. It provides delivery ratios that are improved by up to 40% without unmanageable increases in latency or overheads.
Item Type: | Journal Article | ||||||||
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Subjects: | Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software T Technology > TK Electrical engineering. Electronics Nuclear engineering |
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Divisions: | Faculty of Science, Engineering and Medicine > Engineering > Engineering | ||||||||
Library of Congress Subject Headings (LCSH): | Internet of things , Particle methods (Numerical analysis) , Computer networks, Intelligent transportation systems, Smart cities | ||||||||
Journal or Publication Title: | Internet of Things | ||||||||
Publisher: | Elsevier BV | ||||||||
ISSN: | 2543-1536 | ||||||||
Official Date: | June 2021 | ||||||||
Dates: |
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Volume: | 14 | ||||||||
Article Number: | 100077 | ||||||||
DOI: | 10.1016/j.iot.2019.100077 | ||||||||
Status: | Peer Reviewed | ||||||||
Publication Status: | Published | ||||||||
Access rights to Published version: | Restricted or Subscription Access | ||||||||
Date of first compliant deposit: | 30 August 2019 | ||||||||
Date of first compliant Open Access: | 19 June 2020 |
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