An Optimal Path Management Strategy in Mobile Ad Hoc Network Using Fuzzy and Rough Set Theory

Seethalakshmi,

doi:10.3844/ajassp.2011.1314.1321

Cited by 5 publications

(4 citation statements)

References 10 publications

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“…Finally, they presented the evaluation result. Seethalakshmi, et al (2011), selected the qualified path which was based on the power consumption in the node, the number of inter nodes and the traffic load in the network. For calculating the path vector and to remove the irrelevant attributes for evaluating the best routing the simple rules were generated using the fuzzy and rough set techniques.…”

Section: Rough Set Theorymentioning

confidence: 99%

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Rough Set Based Ad Hoc Network

Chowdhuri¹,

Roy

Goswami³

et al. 2014

International Journal of Service Science, Management, Engineering, and Technology

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The ad hoc routing protocol's design has received a huge attention due to the unpredictable and rapid mobility of a node. It is created dynamically without any infrastructure. In ad hoc each node is responsible for routing the information between them. To improve the performance of unused information and to overcome the overhead in maintaining this information the protocols were designed. MANET (Mobile Ad hoc Network) is the collection of wireless mobile nodes which can dynamically form a network. By this definition we can conclude that there is no centralized administration, permanent topology and standard support services. Rough set theory is a computing technique to deal with uncertainty and vagueness. The notion of the thresholds and the temporal extensions to Rough Sets was applied in several protocols. The successful routing in MANETs using the Random Waypoint mobility model was based on various rough sets based protocol.

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Section: Rough Set Theorymentioning

confidence: 99%

“…They did not choose the qualified path that was based on the power consumption in the node, the number of inter nodes and the traffic load in the network. Seethalakshmi et. al.…”

Section: Qu (2010)mentioning

confidence: 99%

Rough Set Based Ad Hoc Network

Chowdhuri¹,

Roy

Goswami³

et al. 2014

International Journal of Service Science, Management, Engineering, and Technology

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“…The nodes travel in the random manner. (Seethalakshmi et al, 2011). Quick deployment, strength, flexibility and essential support for mobility are some of the merits of the ad hoc networks.…”

Section: Mobile Ad Hoc Network (Manet)mentioning

confidence: 99%

Multipath Routing Protocol for Effective Local Route Recovery in Mobile Ad hoc Network

Jagadeesan¹,

Srivatsa²

2012

Journal of Computer Science

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Problem statement: In mobile ad hoc networks, frequent mobility during the transmission of data causes route failure which results in route rediscovery. In this, we propose multipath routing protocol for effective local route recovery in Mobile Ad hoc Networks (MANET). In this protocol, each source and destination pair establishes multiple paths in the single route discovery and they are cached in their route caches. Approach: The cached routes are sorted on the basis of their bandwidth availability. In case of route failure in the primary route, a recovery node which is an overhearing neighbor, detects it and establishes a local recovery path with maximum bandwidth from its route cache. Results: By simulation results, we show that the proposed approach improves network performance. Conclusion: The proposed route recovery management technique prevents the frequent collision and degradation in the network performance

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“…Since many uncertainties in the value of the factors, the evaluation algorithm of key factors is designed based on fuzzy set after factors reduction. We can gain relatively precise evaluation results if the fuzzy-rough algorithm is well designed [1].…”

Section: Introductionmentioning

confidence: 99%

Rough and Fuzzy Set Based Classification Algorithm on Computer Practice Teaching Evaluation

Wan

Peng

2014

AMM

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Computer teaching should emphasize the engineering practicality, creativity, and pay more attention to the project and its application. It is important to evaluate the teaching effect. An evaluation system and corresponding algorithm are presented in this paper. There is a certain correlation between some evaluation factors, and the factors can be divided into key factors and secondary factors by rough set. The evaluation algorithm based on the key factors can reduce redundant factors and improve the efficiency. We designed a clustering algorithm based on fuzzy set on evaluation entities, which can reduce the dada size and improve the accuracy of the algorithm. Through the example analysis the algorithm of factors reduction based on rough set and clustering method based on fuzzy set are described in detail.

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An Optimal Path Management Strategy in Mobile Ad Hoc Network Using Fuzzy and Rough Set Theory

Cited by 5 publications

References 10 publications

Rough Set Based Ad Hoc Network

Rough Set Based Ad Hoc Network

Multipath Routing Protocol for Effective Local Route Recovery in Mobile Ad hoc Network

Rough and Fuzzy Set Based Classification Algorithm on Computer Practice Teaching Evaluation

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