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RMA-RP: A Reliable Mobility-Aware Routing Protocol for Industrial IoT Networks
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Systems and Technology. (Communikation Systems and Networks (CSN))
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Systems and Technology. (Communication Systems and Networks (CSN))
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Systems and Technology. (Communication Systems and Networks (CSN))ORCID iD: 0000-0003-0873-7827
University of Connecticut,USA.
2019 (English)In: 2019 IEEE Global Conference on Internet of Things (GCIoT), IEEE, 2019Conference paper, Published paper (Refereed)
Abstract [en]

Many emerging Industrial Internet of Things (IIoT) applications involve the use of mobile devices, such as sensors and robots in industrial automation scenarios. Movement of mobile sensor nodes causes intermittent connectivity which in turn deteriorates the network performance in terms of packet loss and delay. The Routing Protocol for Low Power and Lossy Networks (RPL) is introduced as the standard routing protocol for IIoT networks. Although RPL constitutes a reliable and energy-efficient solution for static networks, there is no mechanism defined in the RPL standard of how to support routing in mobile IIoT networks. This paper introduces RMA-RP, a reliable mobility-aware routing protocol to support mobile IIoT networks. RMA-RP utilizes a dynamic motion detection mechanism based on the link quality to cope with topology changes by updating next-hop nodes. Moreover, an adaptive timer is introduced to manage the transmission rate of control messages in order to decrease the network overhead and in turn the energy consumption. We evaluate the performance of RMA-RP through extensive simulations in comparison to existing works and the results demonstrate that RMA-RP has at least 17% higher packet delivery ratio and achieves a reduction of 34% and 51% in terms of delay and network overhead, respectively.

Place, publisher, year, edition, pages
IEEE, 2019.
Keywords [en]
Industrial IoT, industrial wireless sensor networks, RPL, mobility.
National Category
Computer Engineering Communication Systems
Identifiers
URN: urn:nbn:se:miun:diva-38202DOI: 10.1109/GCIoT47977.2019.9058396Scopus ID: 2-s2.0-85084130299ISBN: 978-1-7281-4873-1 (electronic)OAI: oai:DiVA.org:miun-38202DiVA, id: diva2:1384507
Conference
2019 IEEE Global Conference on Internet of Things (GCIoT)
Projects
Next Generation Industrial IoT (NIIT)
Funder
Knowledge FoundationAvailable from: 2020-01-10 Created: 2020-01-10 Last updated: 2020-05-13Bibliographically approved

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Farag, HossamÖsterberg, PatrikGidlund, Mikael

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