SDMob: SDN-Based Mobility Management for IoT Networks

Abstract

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.

ACTOR: Adaptive Control of Transmission Power in RPL

“…The basic version of UCB assumes that the distribution of rewards for each arm (transmission power) is stationary in time. However, that is rarely the case, and these distributions are subject to severe change due to evolving environments and mobility [37]. To handle non-stationary rewards, Garivier [18] proposes a variant of UCB called the Discounted UCB.…”

Enabling Technologies for Next-Generation Smart Cities: A Comprehensive Review and Research Directions

“…It achieves programmability and flexibility and facilitates network innovation. The architecture layers of an SDN split the packet forwarding and decision making [37].…”

Dissecting wireless body area networks routing protocols: Classification, comparative analysis, and research challenges

“…In AS, 148 the authors developed an adaptive switching protocol for SDN‐driven IoHT that gives an improved throughput rate and is based on adaptive longing but was not tested for the performance of the protocol. In SDMob, 149 the authors designed a protocol in mobile IoT applications with low reliability of the RPL that gives high PDR, increased efficiency, low delay, and better QoS, but they did not consider a single point of failure. The authors in SDNARM 144 proposed an optimized power consumption protocol that is very efficient, saves retransmission time, and minimizes information loss, but this protocol was not tested in real time.…”