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Sökning: WFRF:(Selvaraju Shunmuga Priyan) > SDMob :

SDMob : SDN-Based Mobility Management for IoT Networks

Rabet, Iliar (författare)
Mälardalens universitet,Innovation och produktrealisering
Selvaraju, Shunmuga Priyan (författare)
Mälardalens universitet,Innovation och produktrealisering
Fotouhi, Hossein (författare)
Mälardalens universitet,Inbyggda system
visa fler...
Alves, Mario (författare)
Politécnico do Porto, School of Engineering (ISEP/IPP), 4249-015 Porto, Portugal
Vahabi, Maryam (författare)
Mälardalens universitet,Inbyggda system,ABB Corporate Research, 72226 Västerås, Sweden
Balador, Ali (författare)
RISE,Industriella system,RISE Research Institutes of Sweden, 72212 Västerås, Sweden
Björkman, Mats (författare)
Mälardalens universitet,Inbyggda system
visa färre...
 (creator_code:org_t)
2022-01-21
2022
Engelska.
Ingår i: Journal of Sensor and Actuator Networks. - : MDPI. - 2224-2708. ; 11:1
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
Stäng  
  • 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. © 2022 by the authors. 

Ämnesord

TEKNIK OCH TEKNOLOGIER  -- Elektroteknik och elektronik -- Datorsystem (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Electrical Engineering, Electronic Engineering, Information Engineering -- Computer Systems (hsv//eng)
TEKNIK OCH TEKNOLOGIER  -- Elektroteknik och elektronik -- Kommunikationssystem (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Electrical Engineering, Electronic Engineering, Information Engineering -- Communication Systems (hsv//eng)

Nyckelord

6LoWPAN
Contiki
COOJA
Internet of Things
Kalman filter
Localization
Mobility management
Particle filter
RPL
Software Defined Networking (SDN)

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