Limiting the interest-packet forwarding in information-centric wireless mesh networks

Mascarenhas, Dalbert Matos; Moraes, Igor Monteiro

doi:10.1109/wd.2014.7020794

Cited by 3 publications

(3 citation statements)

References 15 publications

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“…Although the broadcast storm in NDN is less severe than in TCP/IP networks, due to the default loop detection mechanism implemented in NFD, the negative effect on network performance is still significant. As detailed in [ 30 ], the high collision rate at the MAC layer is further amplified with an increased number of consumers and their transmission rates. These collisions lead to higher packet loss and latency, see Figure 2 .…”

Section: Background and Related Workmentioning

confidence: 99%

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Provisioning of Fog Computing over Named-Data Networking in Dynamic Wireless Mesh Systems

Glazkov,

Moltchanov,

Srikanteswara

et al. 2024

Sensors

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Fog computing is today considered a promising candidate to improve the user experience in dynamic on-demand computing services. However, its ubiquitous application would require support for this service in wireless multi-hop mesh systems, where the use of conventional IP-based solutions is challenging. As a complementary solution, in this paper, we consider a Named-Data Networking (NDN) approach to enable fog computing services in autonomous dynamic mesh formations. In particular, we jointly implement two critical mechanisms required to extend the NDN-based fog computing architecture to wireless mesh systems. These are (i) dynamic face management systems and (ii) a learning-based route discovery strategy. The former makes it possible to solve NDN issues related to an inability to operate over a broadcast medium. Also, it improves the data-link layer reliability by enabling unicast communications between mesh nodes. The learning-based forwarding strategy, on the other hand, efficiently reduces the amount of overhead needed to find routes in the dynamically changing mesh networks. Our numerical results show that, for static wireless meshes, our proposal makes it possible to fully benefit from the computing resources sporadically available up to several hops away from the consumer. Additionally, we investigate the impacts of various traffic types and NDN caching capabilities, revealing that the latter result in much better system performance while the popularity of the compute service contributes to additional performance gains.

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Section: Background and Related Workmentioning

confidence: 99%

“…Furthermore, Ref. [ 30 ] presents a solution that restricts the forwarding of Interest packets to a limited number of hops. Although these solutions mitigate network overheads and collisions to some extent, their implementation is confined to particular scenarios.…”

Section: Background and Related Workmentioning

confidence: 99%

Provisioning of Fog Computing over Named-Data Networking in Dynamic Wireless Mesh Systems

Glazkov,

Moltchanov,

Srikanteswara

et al. 2024

Sensors

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show abstract

“…We propose three mechanisms to reduce the broadcast storm problem in NDN-based WMNs [35]. The goal of our mechanisms is to reduce the number of interest packets forwarded by nodes and consequently, to increase network efficiency regarding the delivery rate and delay.…”

Section: The Proposed Mechanismsmentioning

confidence: 99%

PIF and ReCiF: Efficient Interest-Packet Forwarding Mechanisms for Named-Data Wireless Mesh Networks

Mascarenhas

Moraes

2018

Information

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In this paper, we propose three mechanisms to reduce the broadcast storm problem in wireless mesh networks based on the Named-Data Network (NDN) architecture. The goal of our mechanisms is to reduce the number of content requests forwarded by nodes and consequently, increase the network efficiency. The first proposed mechanism, called Probabilistic Interest Forwarding (PIF), randomly forwards content requests. The second mechanism, called Retransmission-Counter-based Forwarding (ReCIF), decides to forward content requests based on the number of retransmissions by adding a counter to the header of requests. The third mechanism, called ReCIF+PIF, combines the features of PIF and ReCIF to suppress content requests. We compare the performance of our mechanisms with both the NDN default forwarding mechanism and the Listen First Broadcast Later (LFBL) mechanism. Our proposals outperform the default NDN forwarding mechanism by up to 21% regarding the data delivery rate in dense networks and provide a 25% lower delivery delay than the default NDN. Our mechanisms accomplish this performance by only reducing the number of content requests forwarded by nodes. One of our mechanisms, PIF, outperforms LFBL regarding the data delivery rate and delivery delay by up to 263% and 55%, respectively, for high network contention levels.

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Forwarding Strategies in NDN-Based Wireless Networks: A Survey

Tariq

Rehman

Kim

2020

IEEE Commun. Surv. Tutorials

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Limiting the interest-packet forwarding in information-centric wireless mesh networks

Cited by 3 publications

References 15 publications

Provisioning of Fog Computing over Named-Data Networking in Dynamic Wireless Mesh Systems

Provisioning of Fog Computing over Named-Data Networking in Dynamic Wireless Mesh Systems

PIF and ReCiF: Efficient Interest-Packet Forwarding Mechanisms for Named-Data Wireless Mesh Networks

Forwarding Strategies in NDN-Based Wireless Networks: A Survey

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