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- Rabet, Iliar, et al.
(författare)
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SDMob : SDN-Based Mobility Management for IoT Networks
- 2022
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Ingår i: Journal of Sensor and Actuator Networks. - : MDPI. - 2224-2708. ; 11:1
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Tidskriftsartikel (refereegranskat)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. © 2022 by the authors.
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| 2. |
- Selvaraju, Shunmuga Priyan, 1992-
(författare)
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Network Management for Dynamic and Heterogeneous Wireless Sensor Networks
- 2022
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Licentiatavhandling (övrigt vetenskapligt/konstnärligt)abstract
- Wireless Sensor Networks (WSNs) are interconnections of spatially distributed sensor nodes with low-power wireless communication. In comparison with traditional wireless networks, WSNs provide novel features in network architecture, which are known as low-cost networking, rapid formation, widespread arrangement, self-organisation, and ease of deployment. For these reasons, many WSNs are utilised and interconnected to form massive Internet-of-Things (IoT) applications in areas such as e-healthcare, industrial automation, and smart cities, to name a few. Nevertheless, WSN networking is affected by dynamic network topology – nodes’ mobility and varying network density, and heterogeneous networks (hetnets) – coexisting radio technologies. In more detail, mobile nodes create and break network connections as they move around; varying network density causes alterations in the routing graph; and coexisting radios is a scenario when multiple WSNs utilising different communication technologies are located within same physical space, where network interoperability is required for non-obtrusive operations between the co-located networks. These networking constraints must be properly managed, otherwise, they will lead to non-deterministic and erratic behavior in overall IoT applications, causing degraded Quality-of-Service (QoS).In recent literature, several proposals primarily address only one of these aspects; either mobility, density, or coexisting radios. In this thesis, we propose a unified approach to manage dynamic networks and hetnets through the support of network-wide decision-making in the management process. A unified method results in reduction of the overhead cost for system resources and computation complexity with respect to the constrained nature of WSNs, and improvement in decision-making efficiency in network management. The main contributions are modelling of the network management process, proposing an architecture, simulating and implementing the proposed architecture, and evaluating the network performance under network management for WSNs. Performance metrics include latency, throughput, and packet loss rate. Software Defined Networking (SDN), a method for programmable network management, is a suitable solution.The challenges in design and implementation of network management for WSNs have been experimentally studied in the first paper in the thesis. Further, mobility management has been modelled in the second paper with the modular architecture in the third paper. In the third and fourth paper, we implement the proposed architecture and evaluate network performance. In the fifth paper, we have analysed the network performance in different networking architectures. For standardised simulation and evaluations, We used the Contiki and Mininet simulators, and Linux networking simulators, as well as Linux networking concepts on virtualisation. Empirically, simulation results show that the mean latency has improved more than 100 times with network management compared with typical methods using distributed routing protocols, under varying density in hetnets. Also, we observed a smooth-line performance in mobility management with close to zero packet losses under nodes’ mobility with sporadic communication patterns.
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