Hybrid Advisory Weight based dynamic scheduling framework to ensure effective communication using acknowledgement during Encounter strategy in Ad-hoc network

When several devices or nodes desire to join wirelessly and pass network data among themselves without a central administrator, an ad hoc wireless network is created. Ad hoc networks are networks that are constructed on the fly. In wireless sensor networks (WSNs), the issue of scheduling routing and...

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Vydané v:International journal of information technology (Singapore. Online) Ročník 15; číslo 8; s. 4521 - 4527
Hlavní autori: Manikandan, A., Madhu, G. C., Flora, G. Dency, Parvez, M. Muzammil, Begum, M. Baritha
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Singapore Springer Nature Singapore 01.12.2023
Springer Nature B.V
Predmet:
Ad hoc networks
Algorithms
Artificial Intelligence
Bandwidths
Clustering
Communication
Computer Imaging
Computer Science
Cryptography
Data transmission
Energy consumption
Image Processing and Computer Vision
Life span
Machine Learning
Maximization
Nodes
Optimization
Original Research
Pattern Recognition and Graphics
Scheduling
Sensors
Software Engineering
Vision
Wireless networks
Wireless sensor networks
Wireless Sensor Network (WSN)
Lifetime maximization
Acknowledgment during Encounter Strategy (AES)
Hybridized Additive Weight Based Dynamic Scheduling Algorithm (HAWDS)
Ad hoc wireless network
ISSN:2511-2104, 2511-2112
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Shrnutí:When several devices or nodes desire to join wirelessly and pass network data among themselves without a central administrator, an ad hoc wireless network is created. Ad hoc networks are networks that are constructed on the fly. In wireless sensor networks (WSNs), the issue of scheduling routing and maximising lifespan has received extensive research. The aforementioned discussion covered a number of strategies that can help WSNs schedule and maximise node lives. Higher performance in maximising the sensor nodes’ lifespan, however, is challenging to achieve. To boost productivity, we combine two fundamental strategies. The first is called the Hybridized Additive Weight Based Dynamic Scheduling Algorithm (HAWDS), while the second is called the Acknowledgement during Encounter strategy (AES) algorithm. The results of this suggested study will enable mobile nodes to be clustered in an ideal way that takes into account a variety of factors, including distance, energy, bandwidth, and stability. Pick the best cluster head first so that the best clustering can be accomplished. Last but not least, pick a limited number of nodes and maintain them in work mode. The data transmission is carried out via the paths that the chosen path is capable of using. In accordance with the outcome of the route selection, identify the list of nodes that are present along the path. The current transmission is set to put the rest of the network’s nodes into sleep mode, and any such nodes that are present along the chosen path are set to awaken. Throughput performance and longevity are enhanced overall by this.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
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ISSN:2511-2104
2511-2112
DOI:10.1007/s41870-023-01421-5