Multicast Scheduling in SDN WISE to Support Mobile Nodes in Industrial Wireless Sensor Networks

Orozco-Santos, Federico; Sempere-Payá, Víctor; Silvestre-Blanes, Javier; Albero-Albero, Teresa

doi:10.1109/access.2021.3120917

Cited by 13 publications

(8 citation statements)

References 29 publications

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“…In some other works, such as µSDN, SDMob, and DAO projection, this basic connection is prepared by the RPL protocol. Some extensions to SDN-WISE try to address mobility by assigning a MAC layer schedule [39] or by using multicast routing, similar to MMF-SDN [40].…”

Section: Sdn-enabled Iot Network Architecturesmentioning

confidence: 99%

“…Infrastructure Metric Predictive Mechanism mRPL [13] fixed and mobile ETX and RSSI average RSSI/SNR mRPL+ [20] fixed and mobile ETX and RSSI average RSSI/SNR (overhearing) ARMOR [26] all can be mobile Time To Reside Relative velocity RMA-RP [27] fixed and mobile Time To Stay 2 consecutive RSSI values D-trickle [23] all can be mobile ETX,ELT,RSSI,distance -Kalman-RPL [7] fixed and mobile predicted ETX Kalman Filter EKF-RPL [9] fixed and mobile position of MN Extended Kalman Filter EKF-LOADng [8] fixed and mobile position of MN Extended Kalman Filter DAO projection [33] No mobility priority for projected routes -Coral SDN [35] fixed and mobile OF and trickle set by controller -SD-MIoT [36] fixed and mobile link quality proactive route installation SDN-UAise [41] Mobile sink not RPL-based Decision tree MobiFog [42] fixed and mobile ETX and RSSI Average RSSI MMF-SDN [40] fixed and mobile not RPL-based -FTS-SDN [39] fixed and mobile not RPL-based -BRPL [18] all can be mobile backlog drift plus ETX Lyapunov Optimization GTM-RPL [25] fixed and mobile ETX Nash Equilibrium RL-Probe [24] all can be mobile ETX (same as RPL) epsilon-greedy learning…”

Section: Mobility Solutionsmentioning

confidence: 99%

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SDMob: SDN-Based Mobility Management for IoT Networks

Rabet

Selvaraju

Fotouhi

et al. 2022

JSAN

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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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Section: Sdn-enabled Iot Network Architecturesmentioning

confidence: 99%

Section: Mobility Solutionsmentioning

confidence: 99%

SDMob: SDN-Based Mobility Management for IoT Networks

Rabet

Selvaraju

Fotouhi

et al. 2022

JSAN

View full text Add to dashboard Cite

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“…The SDN paradigm is a network architecture characterized by separating the control and the data plane in the network devices. Furthermore, extract this control plane to place it in the SDN controller, a common entity for all network devices devices that has the ability to manage the control processes and decision making of all the network devices [7].This allows decisions to be made based on a global knowledge of the network, resulting in optimized network processes and enabling high flexibility by having a fully programmable network that can dynamically adapt to changes at any point in the network [10].…”

Section: Figure 1 Time Slotted Channel Hopping Slotframementioning

confidence: 99%

“…Since nodes can receive a number of packets equal to the number of timeslots of the slotframe (SF), the duration of each timeslot defines the maximum flow of packets it can receive in an evaluation period (T ), i.e., T /T s . Therefore, according to [10], the number of shared slots can be obtained from Equation (4).…”

Section: A Analysis Of Control Trafficmentioning

confidence: 99%

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Scalability Enhancement on Software Defined Industrial Wireless Sensor Networks Over TSCH

et al. 2022

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An enhanced MSU‐TSCH scheduling algorithms for industrial wireless sensor networks

Jerbi,

Cheikhrouhou,

Guermazi

et al. 2023

Concurrency and Computation

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SummaryThe reliability and latency requirements of wireless sensor network‐based smart grid communications are met in large part by MAC protocols. Developed by IEEE, time slotted channel hopping (TSCH), a method that is effective, dependable, and predictable. However, the TSCH standard does not enable mobility and does not offer any solution for scheduling, especially in IEEE 802.15.4 TSCH, the most recent generation of extremely dependable and low‐power MAC protocols. Recently, MSU‐TSCH a time‐frequency communication schedule was proposed to provide mobility to TSCH. Despite its distinctive qualities, MSU‐TSCH has the drawback of computing the TSCH schedule at each node independently of its traffic load, which can significantly increase the communication delay. Due to this limitation, MSU‐TSCH is not suitable for some delay‐sensitive smart grid applications. In this article, we provide an improved MSU‐TSCH‐based TSCH protocol, called Mobility‐TSCH, that dynamically adjusts time slot assignments based on traffic volume and latency requirement. Moreover, the protocol Mobility‐TSCH adapts to topology changes and supports mobility. Additionally, it optimizes time slot allocation by prioritizing nodes closest to the sink. The performance and evaluation analysis of Mobility‐TSCH compared to the original MSU‐TSCH, reveal that the communication delay is greatly reduced, decreases the average end‐to‐end latency, the high packet delivery ratio (PDR), Increase the performance of both metrics, parent connectivity ratio (PCR) and convergence time (CT), while maintaining a minimal overhead signaling.

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Multicast Scheduling in SDN WISE to Support Mobile Nodes in Industrial Wireless Sensor Networks

Cited by 13 publications

References 29 publications

SDMob: SDN-Based Mobility Management for IoT Networks

SDMob: SDN-Based Mobility Management for IoT Networks

Scalability Enhancement on Software Defined Industrial Wireless Sensor Networks Over TSCH

An enhanced MSU‐TSCH scheduling algorithms for industrial wireless sensor networks

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