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...

Full description

Bibliographic Details
Main Authors: Iliar Rabet, Shunmuga Priyan Selvaraju, Hossein Fotouhi, Mário Alves, Maryam Vahabi, Ali Balador, Mats Björkman
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Journal of Sensor and Actuator Networks
Subjects:
Online Access:https://www.mdpi.com/2224-2708/11/1/8
_version_ 1797446258861801472
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.
first_indexed 2024-03-09T13:37:44Z
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
work_keys_str_mv AT iliarrabet sdmobsdnbasedmobilitymanagementforiotnetworks
AT shunmugapriyanselvaraju sdmobsdnbasedmobilitymanagementforiotnetworks
AT hosseinfotouhi sdmobsdnbasedmobilitymanagementforiotnetworks
AT marioalves sdmobsdnbasedmobilitymanagementforiotnetworks
AT maryamvahabi sdmobsdnbasedmobilitymanagementforiotnetworks
AT alibalador sdmobsdnbasedmobilitymanagementforiotnetworks
AT matsbjorkman sdmobsdnbasedmobilitymanagementforiotnetworks