UbiFlow: Mobility management in urban-scale software defined IoT

Wu, Di; Arkhipov, Dmitri I.; Asmare, Eskindir; Qin, Zhijing; McCann, Julie A.

doi:10.1109/infocom.2015.7218384

Cited by 115 publications

(58 citation statements)

References 12 publications

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“…Hence, the authors in [29] are confident that SDN is an excellent approach to solve resource management and access control issues in IoT multinetworks. Existing implementations of SDN technologies do not address diverse and vigorous necessities of IoT applications, particularly for mobile environments.…”

Section: R E T R a C T E D R E T R A C T E D R E T R A C T E D R E T mentioning

confidence: 99%

“…In addition to data delivery, it is expected that IoT applications such as smart city will be heterogeneous because of diverse access networks as an effect of geographically wide scale IoT multinetworks being developed lately. In a typical IoT network, various wireless communication solutions will exist in coexistence [29]. The authors in [30] have stressed that, due to lack of single wireless standard with IoT devices, selecting the appropriate wireless connectivity is a daunting task.…”

Section: R E T R a C T E D R E T R A C T E D R E T R A C T E D R E T mentioning

confidence: 99%

“…(5) Mobility Management in Urban-Scale Software-Defined IoT [29] Proposed Framework and Critical Analysis. The authors in [29] have proposed Ubiflow, a software-defined IoT architecture, shown in Figure 13.…”

Section: R E T R a C T E D R E T R A C T E D R E T R A C T E D R E T mentioning

confidence: 99%

“…The authors in [29] have proposed Ubiflow, a software-defined IoT architecture, shown in Figure 13. Multiple controllers have been adopted to split up urban-scale SDN into geological partitions attaining distributed control of IoT flows called to share.…”

Section: R E T R a C T E D R E T R A C T E D R E T R A C T E D R E T mentioning

confidence: 99%

“…Fault tolerance is one of the important factors and we used it in our evaluation based on the approach that is explained in [29] by partitioning the region with IoT infrastructure into a portion called share. Scheduling algorithm balances the traffic in a different share of the IoT network hence provisioning load balancing in IoT network.…”

Section: R E T R a C T E D R E T R A C T E D R E T R A C T E D R E T mentioning

confidence: 99%

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[Retracted] A Survey on Management Frameworks and Open Challenges in IoT

Kiani

2018

Wireless Communications and Mobile Computing

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The new era of technology is a rollback in which massive information comes from interconnected devices. These types of things that have Internet connectivity are called the Internet of Things (IoT). IoT and its applications have enabled novel service provisioning, whereas at the same time it has raised complex challenges of managing such network. Resource limitation such as computational power and energy limitation defines the characteristics of IoT that require a novel design of management framework. Designing a management framework that meets the IoT requirements is a daunting task. Recently, Software-Defined Networking (SDN) paradigm has eased the management of traditional Internet by provisioning centralized view of the network. This makes SDN a potential candidate for managing IoT. However, traditional design of the SDN paradigm needs to be redefined to adapt it for the IoT. Hence, in this paper, we have discussed trends and research of management architecture for IoT based on Software-Defined Networking principles. In addition, we discuss non-SDN-based approaches. In this paper, we compare all of the efforts in the last five years in addressing issues of IoT management that involves security service provisioning, fault tolerance, energy management, and load balancing. We also discuss future research directions that evolved from our detailed survey and taxonomy of the Software-Defined IoT (SDIoT) management frameworks.

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Section: R E T R a C T E D R E T R A C T E D R E T R A C T E D R E T mentioning

confidence: 99%

Section: R E T R a C T E D R E T R A C T E D R E T R A C T E D R E T mentioning

confidence: 99%

Section: R E T R a C T E D R E T R A C T E D R E T R A C T E D R E T mentioning

confidence: 99%

Section: R E T R a C T E D R E T R A C T E D R E T R A C T E D R E T mentioning

confidence: 99%

Section: R E T R a C T E D R E T R A C T E D R E T R A C T E D R E T mentioning

confidence: 99%

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[Retracted] A Survey on Management Frameworks and Open Challenges in IoT

Kiani

2018

Wireless Communications and Mobile Computing

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SDN‐DMM for intelligent mobility management in heterogeneous mobile IP networks

Cordova

Gondim

Llerena

et al. 2019

Int J Communication

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Mobility management applied to the traditional architecture of the Internet has become a great challenge because of the exponential growth in the number of devices that can connect to the network. This article proposes a Software-Defined Networking (SDN)-based architecture, called SDN-DMM (SDN-Distributed Mobility Management), that deals with the distributed mode of mobility management in heterogeneous access networks in a simplified and efficient way, ensuring mainly the continuity of IP sessions. Intent-based mobility management with an IP mapping schema for mobile node identification offers optimized routing without tunneling techniques, hence, an efficient use of the network infrastructure. The simplified mobility control API reduces both signaling and handover latency costs and provides a better scalability and performance in comparison with traditional and SDN-based DMM approaches.An analytical evaluation of such costs demonstrated the better performance of SDN-DMM, and a proof of concept of the proposal was implemented in a real environment.The IETF IP mobility management standards, as MIPv6 6 an PMIPv6, 7 depend on central units that manage both control and data traffic, elaborated according to the traditional routing of IP packets. They also pose problems, as suboptimized routing, low scalability, processing overload in core network devices, and low granularity in the mobility management service.The suboptimized routing occurs mainly because of the use of tunneling techniques. When the mobile node (MN) performs a handover, the traffic destined to it is sent to an anchor point for encapsulation and delivered through an IP tunnel. Regardless of the MN location, the traffic always flows first to the mobility anchor and then to the MN through the IP tunnel, which decreases the goodput because of the packet overhead caused by such transportation, and increases communication latency, because of the use of a longer path.The establishment of the IP tunnel in control plane operations by a central unit, ie, mobility anchor, and forwarding of traffic to the MN in data plane operations cause low scalability and processing overload for devices, as routers, since resources are shared between packet forwarding engine and mobility management tasks.Additionally, the use of heterogeneous access networks (HetNets) imposes other difficulties to such a management, as the integrated management of resources and the soft transitions among networks.The mobility management faces a constant challenge regarding the communication network efficiency with no increase in its complexity. The addition and use of new protocols, signaling messages, or processes that cause overhead because of the encapsulation and control traffic are examples of how the mobility management directly impacts on the Operational Expenditure (OPEX) and Capital Expenditure (CAPEX) of a communication network.An alternative for dealing with the intrinsic problems of centralization and costs in the mobility management is the new concept, called distributed mobility ...

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A comprehensive survey on software‐defined networking for smart communities

Chaudhary

Aujla

Kumar

et al. 2022

Int J Communication

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The need to provide services closer to the end-user proximity leads to the exchange of a large volume of data generated from the smart devices deployed at different geo-distributed sites. The massive amount of data generated from the smart devices need to be transmitted, analyzed, and processed. This requires seamless data exchanges among geo-separated nodes, which results in a considerable burden on the underlying network infrastructure and can degrade the performance of any implemented solution. Therefore, a dynamic, agile, and programmable network management paradigm is required. To handle the challenges mentioned above, software-defined networking (SDN) gained much attention from academia, researchers, and industrial sectors.Shifting the computational load from forwarding devices to a logically centralized controller is a dream of every network operator who wants to have complete control and global visibility of the network. Also, the concept of network functions virtualization (NFV) in SDN controller is required to increase resource utilization efficiency. Thus, in this paper, a comprehensive survey on SDN for various smart applications is presented. This survey covers the infrastructural details of SDN hardware and OpenFlow switches, controllers, simulation tools, programming languages, open issues, and challenges in SDN implementation with advanced technologies such as 5G and microservices. In addition, the challenges on the control plane and data plane are highlighted in detail, such as fault tolerance, routing, scheduling of flows, and energy consumption on OpenFlow switches. Finally, various open issues and challenges future scope of SDN are discussed and analyzed in the proposal.

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UbiFlow: Mobility management in urban-scale software defined IoT

Cited by 115 publications

References 12 publications

[Retracted] A Survey on Management Frameworks and Open Challenges in IoT

[Retracted] A Survey on Management Frameworks and Open Challenges in IoT

SDN‐DMM for intelligent mobility management in heterogeneous mobile IP networks

A comprehensive survey on software‐defined networking for smart communities

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