RETRACTED ARTICLE: Defending against false data attacks in 3D grid-based MANET using soft computing approaches

Muneeswari, B.; Manikandan, M. Sabarimalai

doi:10.1007/s00500-019-03899-3

Cited by 6 publications

(6 citation statements)

References 22 publications

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“…Also, the system configuration is described in Table 2. To prove the effective performance of the NBUJSO, it was contrasted with the conventional strategies, including, BMO, BES, BOA, NBO, JFO, BFOA, 23 and DCHE 12 . Moreover, it was examined with respect to delay, distance, energy, link quality, and trust while adjusting the number of rounds from 500‐2000.…”

Section: Resultsmentioning

confidence: 99%

“…To prove the effective performance of the NBUJSO, it was contrasted with the conventional strategies, including, BMO, BES, BOA, NBO, JFO, BFOA, 23 and DCHE. 12 Moreover, it was examined with respect to delay, distance, energy, link quality, and trust while adjusting the number of rounds from 500-2000. Additionally, the simulation setup and MANET network for the nodes 100 and 200 was shown in Figures 5 and 6 for the node 100, the NBUJSO obtained the least delay rate of 2.7563 Â 1e À7 at the round 2000, though the standard approaches scored the highest delay value, notably, BMO = 3.9284 Â 1e À7 , BES = 3.0163 Â 1e À7 , BOA = 3.2847 Â 1e À7 , NBO = 2.9765 Â 1e À7 , JFO = 3.4639 Â 1e À7 , BFOA = 3.8562 Â 1e À7 , and DCHE = 4.5189 Â 1e À7 , accordingly.…”

Section: Simulation Proceduresmentioning

confidence: 99%

“…In 2019, B. Muneeswari and M. S. K. Manikandan 12 have suggested soft computing techniques to defend from fake information attacks in MANET. Moreover, the hybrid routing approach was suggested that including two kinds of fuzzy logic approach and this ensured the security and delivering the data packets efficiently at the receiver side.…”

Section: Literature Reviewmentioning

confidence: 99%

“…11 That is, a multipath routing protocol could evaluate node capabilities in different directions and select the optimum path to transmit data while considering node resources sufficient for facilitating QoS, such as bandwidth consumption, battery level, inefficient queue duration, and so forth. 12 Path selection statistics in MANET also take into account the path's durability and the nodes' capabilities. Furthermore, the researchers are investigating a variety of characteristics to effectively assess route durability and also overcome the aforementioned issues.…”

Section: Introductionmentioning

confidence: 99%

“…Because of the need for QoS support, multipath routing systems have advanced during the preceding 10 years 11 . That is, a multipath routing protocol could evaluate node capabilities in different directions and select the optimum path to transmit data while considering node resources sufficient for facilitating QoS, such as bandwidth consumption, battery level, inefficient queue duration, and so forth 12 . Path selection statistics in MANET also take into account the path's durability and the nodes' capabilities.…”

Section: Introductionmentioning

confidence: 99%

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Optimizing Mobile Ad Hoc Network cluster based routing: Energy prediction via improved deep learning technique

Murugan,

Unhelkar

2024

Int J Communication

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SummaryMobile Ad Hoc Network (MANETs) are indeed autonomous, fast‐deployable wireless networks that are ideal for communications in areas with limited radio infrastructure, outdoor events, military operations, and disaster relief. But the primary problem is with routing because of the nodes' mobility. This paper proposes a cluster‐based routing under energy prediction via deep learning techniques. Here, proposes a new model termed as Concatenation of Convolutional with Max‐Avg Pooling layer in Deep Convolutional Neural Network (CCMAP‐DCNN) for energy prediction, in which additional layers are inserted into the extant DCNN structure to ensure the effectiveness of energy prediction. As a result, clusters are created by grouping the nodes together. Constraints like energy, trust, distance, and latency are taken into account while choosing the cluster leader. For cluster head selection and optimal routing, proposes a new hybrid Namib Beetle Upgraded Jellyfish Search Optimization (NBUJSO) algorithm that utilizes the NBO strategy to the JSO algorithm making the selection process more optimal. The best route is then chosen by the optimum routing method, which takes into account variables like network quality and mobility to send data packets from source to destination as efficiently as possible. Finally, the data aggregation process is followed for eliminating the redundant transmission.

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Section: Resultsmentioning

confidence: 99%

Section: Simulation Proceduresmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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