RankRoute: Efficient Interest Forwarding Using Nodes Ranking

He, Dongbiao; Westphal, Cédric; Jiang, Jinlei; Yang, Guangwen

doi:10.1109/iccnc.2019.8685608

“…Based on equation (3), the normalization of each of the bandwidth, delay and hop count parameters will be performed using equations (4)(5)(6).…”

Section: Creating the Decision Matrix And Normalization Of Metricsmentioning

confidence: 99%

“…By utilizing the Content Store (CS), Pending Interest (PIT), Forward Information Base (FIB) tables, and innetwork storage, information-centric networks can enhance network performance. In the ideal state, NDN prefers data to be stored in the nearest router to the client to minimize access delay [5]. In these types of networks, despite the aforementioned advantages, there are challenges such as naming [6], routing [7], security [8], mobility [9], and caching [10] that need to be addressed.…”

Section: Introductionmentioning

confidence: 99%

FSCN: a novel forwarding method based on Shannon entropy and COPRAS decision process in named data networking

Soltani

¹

,

Barekatain

²

,

Hendesi

³

et al. 2023

View full text Add to dashboard Cite

One of the next-generation Information-Centric Networking (ICN) architectures for the future Internet is Named Data Networking (NDN). The appropriate output interface (forwarding) has recently emerged as a key challenge affecting the performance of this network and has received a lot of attention from researchers due to its importance. Although efforts have been made through the methods introduced so far to address this challenge, the neglect of effective network load balancing parameters, non-dynamic weighting, and the use of only a few criteria have been suggested for selecting the output interface have made it vital to further improve the network delay, congestion, and ultimately the network's throughput. Regarding this matter, a new strategy is presented in this article based on the COPRAS Decision-Making Process with the dynamic weighting of Shannon's entropy called FSCN for transmitting request packets through the optimal output interface. The essential parameters identified in the suggested approach such as bandwidth, delay, and the number of hops can be dynamically weighted using the Shannon entropy technique and conditions. Then, the interfaces are scored using the COPRAS method, and the suitable output interface is ascertained. The advantages of the proposed method include considering influential criteria to characterize the path's performance and the dynamic weighting of criteria. The simulation outcomes in NDNsim demonstrated enhancements in critical parameters, including interest throughput, satisfaction ratio, packet drop, and delivery time when compared to comparable approaches.

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PSSN: a novel cache placement method based on adapted Shannon entropy and simple additive weighting method in named data networking

Soltani,

Barekatain,

Hendessi

et al. 2024

Knowl Inf Syst

0

View full text Add to dashboard Cite

FSCN: A Novel Forwarding Method based on Shannon Entropy and COPRAS Decision Process in Named Data Networking

Soltani

¹

,

Barekatain

²

,

Hendesi

³

et al. 2023

Preprint

0

View full text Add to dashboard Cite

One of the next-generation Information-Centric Networking (ICN) architectures for the future Internet is Named Data Networking (NDN). The appropriate output interface (forwarding) has recently emerged as a key challenge affecting the performance of this network and has received a lot of attention from researchers due to its importance. Although efforts have been made through the methods introduced so far to address this challenge, the neglect of effective network load balancing parameters, non-dynamic weighting, and the use of only a few criteria have been suggested for selecting the output interface have made it vital to further improve the network delay, congestion, and ultimately the network's throughput. Regarding this matter, a new strategy is presented in this article based on the COPRAS Decision-Making Process with the dynamic weighting of Shannon's entropy called FSCN for transmitting request packets through the optimal output interface. The essential parameters identified in the suggested approach such as bandwidth, delay, and the number of hops can be dynamically weighted using the Shannon entropy technique and conditions. Then, the interfaces are scored using the COPRAS method, and the suitable output interface is ascertained. The advantages of the proposed method include considering influential criteria to characterize the path's performance and the dynamic weighting of criteria. The simulation outcomes in NDNsim demonstrated enhancements in critical parameters, including interest throughput, satisfaction ratio, packet drop, and delivery time when compared to comparable approaches.

show abstract

RankRoute: Efficient Interest Forwarding Using Nodes Ranking

Cited by 3 publications

References 21 publications

FSCN: a novel forwarding method based on Shannon entropy and COPRAS decision process in named data networking

FSCN: a novel forwarding method based on Shannon entropy and COPRAS decision process in named data networking

PSSN: a novel cache placement method based on adapted Shannon entropy and simple additive weighting method in named data networking

FSCN: A Novel Forwarding Method based on Shannon Entropy and COPRAS Decision Process in Named Data Networking

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