Stable zone-based 5G clustered MANET using interest-region-based routing and gateway selection

Alghamdi, Saleh A.

doi:10.1007/s12083-021-01113-6

Cited by 12 publications

(7 citation statements)

References 35 publications

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“…Further, to predict the optimal CH the following distance measures can be performed as in Equation (7). Here, M idist refers to distance of all nodes in the specified cluster.…”

Section: Energymentioning

confidence: 99%

“…In 2021, Saleh A. Alghamdi 7 has discovered ABM approach to deliver the data packets. The presented technique including four procedures: they were GD gateway prediction, stable zone based clustering, and adaptive buffer controlling as well as routing based on ROI.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Nevertheless, concern a unique track failure problem is complicated issue. Though the author accomplished low delay, jitter, and loss rate by employing ABM approach, 7 still it is requires less transmission error with minimal bandwidth strategy of the users of MANET is a difficult process. Using paper, 9 the author attained greater throughput with minimal peer‐to‐peer delay with deploying EO technique but still it is necessary to improve the convergence speed.…”

Section: Literature Reviewmentioning

confidence: 99%

“…For instance, Ad hoc On-demand Distance Vector (AODV), Temporally Ordered Routing Algorithm (TORA), Dynamic MANET on Demand Routing Protocol (DYMO), and ant-colony-based routing algorithm (ARA) are examples, whereas proactive protocols for routing keep a database for every single node that has the most recent data about routes to nodes, allowing the node to be aware of its immediate surroundings. 7,8 Messages are transmitted regularly under this control. The combination of Reactive and Proactive Routing Protocols is classified as Hybrid Routing Protocols.…”

Section: Introductionmentioning

confidence: 99%

“…The organization does not keep refreshing route tables. For instance, Ad hoc On‐demand Distance Vector (AODV), Temporally Ordered Routing Algorithm (TORA), Dynamic MANET on Demand Routing Protocol (DYMO), and ant‐colony‐based routing algorithm (ARA) are examples, whereas proactive protocols for routing keep a database for every single node that has the most recent data about routes to nodes, allowing the node to be aware of its immediate surroundings 7,8 …”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

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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“…Further, to predict the optimal CH the following distance measures can be performed as in Equation (7). Here, M idist refers to distance of all nodes in the specified cluster.…”

Section: Energymentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%