An Efficient Node Localization and Failure Node Detection in Manet Environment

Dewangan, Kailash P.; Bonde, Padma; Raja, R.Vinston

doi:10.2139/ssrn.4029626

Cited by 1 publication

(4 citation statements)

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“…A MANET climate's Effective Hub Limitation and Disappointment Hub Recognition are recommended in [22]. The nodes are initialized first in this case.…”

Section: Literature Surveymentioning

confidence: 99%

“…The parcel transmission line is determined by deducting the beginning time frame from the stop time frame. The condition for the throughput is referenced in condition (22). The reenactment diagram for the suggested work is introduced in Figure 4.…”

Section: Throughputmentioning

confidence: 99%

“…In TEA-MDRP, RSTA-AOMDV, and RMQS-ua, when the correspondence course breaks, the source hub typically needs to restart the course finding to re-structure a correspondence course, which causes more control in the organization. Nonetheless, it very well may be found that Tumultuous Rodent Multitude Streamlining agent (CRSO) [22] and Heuristic molecule swarm enhancement (H-PSO) calculation [26][27][28] is inclined to untimely issues on different informational indexes contrasted with PRLFL-GACSO [29]. Accordingly, the PRLFL-GACSO addresses the deformity so that the first calculation is not difficult to fall into the nearby intermingling arrangement [30].…”

Section: Hit Ratiomentioning

confidence: 99%

“…Since the wellness capability utilized by the proposed PRLFL-GACSO is simply connected with the right rate and the wellness capability, the immediate differentiation of wellness is of little importance. Nonetheless, it very well may be found that Tumultuous Rodent Multitude Streamlining agent (CRSO)[22] and Heuristic molecule swarm enhancement (H-PSO) calculation[26][27][28] is inclined to untimely issues on different informational indexes contrasted with PRLFL-GACSO[29]. Accordingly, the PRLFL-GACSO addresses the deformity so that the first calculation is not difficult to fall into the nearby intermingling arrangement[30].…”

mentioning

confidence: 99%

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Predicting and Recovering Link Failure Localization Using Competitive Swarm Optimization for DSR Protocol in MANET

R.,

Mohan,

Mahesh

2023

IJRITCC

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Portable impromptu organization is a self-putting together, major construction-less, independent remote versatile hub that exists without even a trace of a determined base station or government association. MANET requires no extraordinary foundation as the organization is unique. Multicasting is an urgent issue in correspondence organizations. Multicast is one of the effective methods in MANET. In multicasting, information parcels from one hub are communicated to a bunch of recipient hubs all at once, at a similar time. In this research work, Failure Node Detection and Efficient Node Localization in a MANET situation are proposed. Localization in MANET is a main area that attracts significant research interest. Localization is a method to determine the nodes’ location in the communication network. A novel routing algorithm, which is used for Predicting and Recovering Link Failure Localization using a Genetic Algorithm with Competitive Swarm Optimization (PRLFL-GACSO) Algorithm is proposed in this study to calculate and recover link failure in MANET. The process of link failure detection is accomplished using mathematical modelling of the genetic algorithm and the routing is attained using the Competitive Swarm optimization technique. The result proposed MANET method makes use of the CSO algorithm, which facilitates a well-organized packet transfer from the source node to the destination node and enhances DSR routing performance. Based on node movement, link value, and endwise delay, the optimal route is found. The main benefit of the PRLFL-GACSO Algorithm is it achieves multiple optimal solutions over global information. Further, premature convergence is avoided using Competitive Swarm Optimization (CSO). The suggested work is measured based on the Ns simulator. The presentation metrix are PDR, endwise delay, power consumption, hit ratio, etc. The presentation of the proposed method is almost 4% and 5% greater than the present TEA-MDRP, RSTA-AOMDV, and RMQS-ua methods. After, the suggested method attains greater performance for detecting and recovering link failure. In future work, the hybrid multiway routing protocols are presented to provide link failure and route breakages and liability tolerance at the time of node failure, and it also increases the worth of service aspects, respectively.

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“…A MANET climate's Effective Hub Limitation and Disappointment Hub Recognition are recommended in [22]. The nodes are initialized first in this case.…”

Section: Literature Surveymentioning

confidence: 99%

Section: Throughputmentioning

confidence: 99%

Section: Hit Ratiomentioning

confidence: 99%

mentioning

confidence: 99%

See 2 more Smart Citations

Predicting and Recovering Link Failure Localization Using Competitive Swarm Optimization for DSR Protocol in MANET

R.,

Mohan,

Mahesh

2023

IJRITCC

View full text Add to dashboard Cite

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An Efficient Node Localization and Failure Node Detection in Manet Environment

Cited by 1 publication

References 0 publications

Predicting and Recovering Link Failure Localization Using Competitive Swarm Optimization for DSR Protocol in MANET

Predicting and Recovering Link Failure Localization Using Competitive Swarm Optimization for DSR Protocol in MANET

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