2019
DOI: 10.1007/978-3-030-20518-8_53
|View full text |Cite
|
Sign up to set email alerts
|

Searching the Shortest Pair of Edge-Disjoint Paths in a Communication Network. A Fuzzy Approach

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
5
0

Year Published

2020
2020
2021
2021

Publication Types

Select...
2

Relationship

1
1

Authors

Journals

citations
Cited by 2 publications
(5 citation statements)
references
References 6 publications
0
5
0
Order By: Relevance
“…Parallel to this work, this Strategy 8 has already been applied to the problem of searching for the shortest pair of disjoint edge paths in a communication network [5]. It has proven its effectiveness in managing a network with two types of traffic.…”
Section: Related Workmentioning
confidence: 98%
See 2 more Smart Citations
“…Parallel to this work, this Strategy 8 has already been applied to the problem of searching for the shortest pair of disjoint edge paths in a communication network [5]. It has proven its effectiveness in managing a network with two types of traffic.…”
Section: Related Workmentioning
confidence: 98%
“…This fuzzy version of Dijkstra's algorithm can be considered as classical since it does not incorporate any consideration of uncertainty in its execution, but it incorporates uncertainty in the value of the variables (here considered as fuzzy) and in the definition of the mathematical operation between them. A very basic application of this work can be found in [5], where a pair of shortest-disjoint paths is identified with a simpler version of the Modified Dijkstra Algorithm. However, the complete description of the algorithm, the operation of the fuzzybased costs and their comparison with other classic approaches are firstly described in a scientific journal.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…To clarify the description of the routes computation, we suppose that the source end node n i has its next-hop router to be r and the last router to the receiver end node n j to be t. Router r could be one of the nearby routers available to n i . Therefore, we can view the source as r and the destination as t. The job of the SDN controller is to identify a number of routes between r and t. The proposed algorithm is built upon the shortest paths pair routing proposed in [28]. The notations are as follows, H is the set of potential routers from among available routes, Γ(u) is the set of neighbor routers of u, K represents routes, r represents source, t represents the destination, u and v are intermediate routers in the route from r to t and v is the predecessor of u, d(x) stands for the cost of the link to router x, e stands for the link between a pair of routers (v, u), and C(v, u) represents cost between routers v and u.…”
Section: Proposed Frameworkmentioning
confidence: 99%
“…The job of the SDN controller is to identify a number of routes between r and t . The proposed algorithm is built upon the shortest paths pair routing proposed in [ 28 ]. The notations are as follows, H is the set of potential routers from among available routes, is the set of neighbor routers of u , K represents routes, r represents source, t represents the destination, u and v are intermediate routers in the route from r to t and v is the predecessor of u , stands for the cost of the link to router x , e stands for the link between a pair of routers , and represents cost between routers v and u .…”
Section: Proposed Frameworkmentioning
confidence: 99%