AFIRM: Adaptive forwarding based link recovery for mobility support in NDN/IoT networks

Meddeb, Maroua; Dhraief, Amine; Belghith, Abdelfettah; Monteil, Thierry; Drira, Khalil; Gannouni, Sofien

doi:10.1016/j.future.2018.04.087

Cited by 54 publications

(22 citation statements)

References 30 publications

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“…Link-recovery-based forwarding: Meddeb et al [96] targets producer mobility and proposed an adaptive forwarding-based link recovery (AFIRM) strategy. The AFIRM forwarding strategy has two basic phases namely, the FIB construction phase and the link recovery phase for the producer mobility.…”

Section: Directed Forwardingmentioning

confidence: 99%

Survey on the Incorporation of NDN/CCN in IoT

2019

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Named data networking (NDN) has emerged as a component of the Future Internet architecture to support scalable content distribution, mobility, security, and trust; as well as to provide access to information irrespective of its physical location. The NDN, and previously content-centric networking (CCN), has been considered as the enabler to address various Internet of Things (IoT) challenges, with the potential to outperform the current IP paradigm in many dimensions. The requirements and challenges of the IoT, imposed by constraints, such as limited memory and computational power, while requiring high energy efficiency in the face of unstable network connectivity, impose extra burdens on the IP paradigm. The named content, in-network caching and named-based routing approach in the CCN and NDN provide promising solutions to overcome these constraints and showcase alternative implementations. This paper aims to investigate and demonstrate the current incorporation of the NDN/CCN with the IoT in terms of innetwork caching management, naming scheme for devices and data, access control and policies, forwarding strategies, device configuration, and discovery. INDEX TERMS CCN, content-centric networking, ICN, information-centric networking, Internet of Things, named data networking, NDN.

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Section: Directed Forwardingmentioning

confidence: 99%

Survey on the Incorporation of NDN/CCN in IoT

2019

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“…The associate editor coordinating the review of this manuscript and approving it for publication was Zhenyu Zhou. advancement are rapidly growing, resulted in increases of users demand of data and information distributed over the Internet, mobile communication, satellite broadcasting, wireless sensor networking, IoT services and vehicle-to-vehicle content distributions [3]- [8]. Some organizations forecast the essential device connectivity over the Internet for years to come.…”

Section: Century the World Population And Technologicalmentioning

confidence: 99%

Efficient Producer Mobility Management Model in Information-Centric Networking

et al. 2019

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Information centric networking is a clean-slate Internet architecture designed as a future Internet to supplement and completely replace the current Internet architecture. The future Internet informationcentric networking was proposed in different kind of approaches to offered vast advantages ranging from security, catching, and content mobility support. However, some of the approaches support only content consumer, while content producer mobility faces many challenges, such as unnecessary Interest packet losses, high handoff latency, scalability issues, and high signaling overhead. Therefore, many approaches, protocols, and schemes were proposed to address the problem. The schemes such as indirection-based approach, locator-based approach, rendezvous-based, forwarding-based, and control/data plane-based, and mapping-based approach were investigated using either analytical or simulation investigation. However, in many cases of the formulation of an analytical investigation for information-centric networking mobility support management, the determination and incorporation of producers' movement behavior are neglected, whereas the movement pattern of mobile content producer plays a vital role in mobility performance analysis of the wireless mobile network. This paper proposed a producer mobility management model for information-centric networking with a random waypoint and random walk mobility model incorporated, to measure the movement pattern effect and proved the uniformity of the proposed model to support any kind of mobility support approaches or schemes. The performance analysis result of our proposed model revealed that movement pattern does affect the mobile producer handoff performance. Hence, for the accuracy of handoff latency, handoff signaling cost, and data packets delivery cost investigation, mobility models must be selected carefully based on the application domain.

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“…NDN promotes IoT networking and data dissemination, and reduces the protocol stack complexity by eliminating the need of the CoAP/RPL/6LowPan/802.15.4 stack. NDN proposes a pull-based, receiver-driven, robust connection-less communication model which fulfills the basic requirements of IoT traffic and systems in terms of easy and scalable data access, security, energy efficiency, and mobility support [8], [9].…”

Section: Introductionmentioning

confidence: 99%

Efficient Pooling and Collaborative Cache Management for NDN/IoT Networks

2021

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Named Data Networking (NDN) has been recognized as a lever to the Internet of Things (IoT). One of the most founding features of NDN is in-network caching to improve data availability and reduce retrieval delays and network load. Despite the existence of several caching decision algorithms, the fetching and distribution of contents with minimum resource utilization remains a great challenge. In this paper, we propose an efficient caching technique named PoolCache that augments the effective caching capacity of some defined conglomerates of nodes. This is accomplished by pooling the various caches and manage them in a way to insure zero content redundancy within any defined node conglomerate. The resulting high diversity of cached contents throughout the network tacitly amounts to much better overall performances. We conducted extensive simulations using the CCNsim simulator to evaluate the performance of PoolCache and compare it to that of some well known caching strategies. Simulations using a large Transit Stub topology show that PoolCache clearly outperforms the other caching strategies in terms of a much greater content diversity and consequently a limited number of content evictions, a much better cache hit ratio, and a much lower content retrieval delay. Simulations also showed that PoolCache benefits from any eventual content popularity.

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AFIRM: Adaptive forwarding based link recovery for mobility support in NDN/IoT networks

Cited by 54 publications

References 30 publications

Survey on the Incorporation of NDN/CCN in IoT

Survey on the Incorporation of NDN/CCN in IoT

Efficient Producer Mobility Management Model in Information-Centric Networking

Efficient Pooling and Collaborative Cache Management for NDN/IoT Networks

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