SDMob: SDN-Based Mobility Management for IoT Networks
Internet-of-Things (IoT) applications are envisaged to evolve to support mobility of devices while providing quality of service in the system. To keep the connectivity of the constrained nodes upon topological changes, it is of vital importance to enhance the standard protocol stack, including the R...
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MDPI AG
2022-01-01
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Series: | Journal of Sensor and Actuator Networks |
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Online Access: | https://www.mdpi.com/2224-2708/11/1/8 |
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author | Iliar Rabet Shunmuga Priyan Selvaraju Hossein Fotouhi Mário Alves Maryam Vahabi Ali Balador Mats Björkman |
author_facet | Iliar Rabet Shunmuga Priyan Selvaraju Hossein Fotouhi Mário Alves Maryam Vahabi Ali Balador Mats Björkman |
author_sort | Iliar Rabet |
collection | DOAJ |
description | Internet-of-Things (IoT) applications are envisaged to evolve to support mobility of devices while providing quality of service in the system. To keep the connectivity of the constrained nodes upon topological changes, it is of vital importance to enhance the standard protocol stack, including the Routing Protocol for Lossy Low-power Networks (RPL), with accurate and real-time control decisions. We argue that devising a centralized mobility management solution based on a lightweight Software Defined Networking (SDN) controller provides seamless handoff with reasonable communication overhead. A centralized controller can exploit its global view of the network, computation capacity, and flexibility, to predict and significantly improve the responsiveness of the network. This approach requires the controller to be fed with the required input and to get involved in the distributed operation of the standard RPL. We present SDMob, which is a lightweight SDN-based mobility management architecture that integrates an external controller within a constrained IoT network. SDMob lifts the burden of computation-intensive filtering algorithms away from the resource-constrained nodes to achieve seamless handoffs upon nodes’ mobility. The current work extends our previous work, by supporting multiple mobile nodes, networks with a high density of anchors, and varying hop-distance from the controller, as well as harsh and realistic mobility patterns. Through analytical modeling and simulations, we show that SDMob outperforms the baseline RPL and the state-of-the-art ARMOR in terms of packet delivery ratio and end-to-end delay, with an adjustable and tolerable overhead. With SDMob, the network provides close to 100% packet delivery ratio (PDR) for a limited number of mobile nodes, and maintains sub-meter accuracy in localization under random mobility patterns and varying network topologies. |
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format | Article |
id | doaj.art-04fee45bb4604e2b8968d70bc10ae975 |
institution | Directory Open Access Journal |
issn | 2224-2708 |
language | English |
last_indexed | 2024-03-09T13:37:44Z |
publishDate | 2022-01-01 |
publisher | MDPI AG |
record_format | Article |
series | Journal of Sensor and Actuator Networks |
spelling | doaj.art-04fee45bb4604e2b8968d70bc10ae9752023-11-30T21:09:33ZengMDPI AGJournal of Sensor and Actuator Networks2224-27082022-01-01111810.3390/jsan11010008SDMob: SDN-Based Mobility Management for IoT NetworksIliar Rabet0Shunmuga Priyan Selvaraju1Hossein Fotouhi2Mário Alves3Maryam Vahabi4Ali Balador5Mats Björkman6School of Innovation, Design and Engineering, Mälardalen University, 721 23 Västerås, SwedenSchool of Innovation, Design and Engineering, Mälardalen University, 721 23 Västerås, SwedenSchool of Innovation, Design and Engineering, Mälardalen University, 721 23 Västerås, SwedenPolitécnico do Porto, School of Engineering (ISEP/IPP), 4249-015 Porto, PortugalSchool of Innovation, Design and Engineering, Mälardalen University, 721 23 Västerås, SwedenRISE Research Institutes of Sweden, 72212 Västerås, SwedenSchool of Innovation, Design and Engineering, Mälardalen University, 721 23 Västerås, SwedenInternet-of-Things (IoT) applications are envisaged to evolve to support mobility of devices while providing quality of service in the system. To keep the connectivity of the constrained nodes upon topological changes, it is of vital importance to enhance the standard protocol stack, including the Routing Protocol for Lossy Low-power Networks (RPL), with accurate and real-time control decisions. We argue that devising a centralized mobility management solution based on a lightweight Software Defined Networking (SDN) controller provides seamless handoff with reasonable communication overhead. A centralized controller can exploit its global view of the network, computation capacity, and flexibility, to predict and significantly improve the responsiveness of the network. This approach requires the controller to be fed with the required input and to get involved in the distributed operation of the standard RPL. We present SDMob, which is a lightweight SDN-based mobility management architecture that integrates an external controller within a constrained IoT network. SDMob lifts the burden of computation-intensive filtering algorithms away from the resource-constrained nodes to achieve seamless handoffs upon nodes’ mobility. The current work extends our previous work, by supporting multiple mobile nodes, networks with a high density of anchors, and varying hop-distance from the controller, as well as harsh and realistic mobility patterns. Through analytical modeling and simulations, we show that SDMob outperforms the baseline RPL and the state-of-the-art ARMOR in terms of packet delivery ratio and end-to-end delay, with an adjustable and tolerable overhead. With SDMob, the network provides close to 100% packet delivery ratio (PDR) for a limited number of mobile nodes, and maintains sub-meter accuracy in localization under random mobility patterns and varying network topologies.https://www.mdpi.com/2224-2708/11/1/8Internet of ThingsSoftware Defined Networking (SDN)mobility managementlocalizationKalman filterparticle filter |
spellingShingle | Iliar Rabet Shunmuga Priyan Selvaraju Hossein Fotouhi Mário Alves Maryam Vahabi Ali Balador Mats Björkman SDMob: SDN-Based Mobility Management for IoT Networks Journal of Sensor and Actuator Networks Internet of Things Software Defined Networking (SDN) mobility management localization Kalman filter particle filter |
title | SDMob: SDN-Based Mobility Management for IoT Networks |
title_full | SDMob: SDN-Based Mobility Management for IoT Networks |
title_fullStr | SDMob: SDN-Based Mobility Management for IoT Networks |
title_full_unstemmed | SDMob: SDN-Based Mobility Management for IoT Networks |
title_short | SDMob: SDN-Based Mobility Management for IoT Networks |
title_sort | sdmob sdn based mobility management for iot networks |
topic | Internet of Things Software Defined Networking (SDN) mobility management localization Kalman filter particle filter |
url | https://www.mdpi.com/2224-2708/11/1/8 |
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