Secure Information Collection and Energy Efficiency in Heterogeneous Sensor Networks Using Machine Learning with the Internet of Things Article Swipe
Yogesh Misra
,
Ashish Srivastava
,
Aamir Junaid Ahmad
,
Ajay Singh Yadav
,
Subrahmanyam Voore
,
Ghalib H. Alshammri
,
Henry Kwame Atiglah
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1155/2022/2874497
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1155/2022/2874497
Regarding the preservation of human life, this is one of the secondary research goals that the WSN strives to achieve. There have been the development and testing of a number of cutting‐edge algorithms and protocols, and many more are now in the process of being created. Among the aforementioned methods, clustering is one that is particularly well known for its capacity to lengthen the lifespan of the web. It is also one of the solutions with the lowest possible price. Two strategies have been proposed as a means to extend the life of the WSN, improve its functionality, and maximize its usefulness. The Energy‐Aware Ant Colony Optimization (EAACOP) protocol, which is derived from the Time Domain Protocol, was at first devised with the goal of reducing overall power consumption. The mission of EAACOP is to build an energy‐efficient group with the highest possible number of nodes, choose the most qualified individual to serve as the group’s head, restrict the amount of space available for intragroup communication, and extend the lifetime of the web as much as feasible. By using the pillar K ‐means grouping strategy, we are able to generate groups and guarantee that every node is covered to the greatest extent that is practically possible. During TDMA‐based MAC protocol data transmission, it is used to determine who would make ideal group leaders and to evaluate the amount of energy that is consumed. The viability of the protocol is shown by simulating it and comparing it with contemporary protocols; the conclusions reached are predicated on QoS performance criteria. Specifically, as compared to older methods, the packet distribution ratio, throughput, and residual energy are raised, while the packet loss ratio, network latency, edge‐to‐edge delay, and battery power consumption are lowered. This results in an overall improvement.
Related Topics
Concepts
Computer science
Protocol (science)
Wireless sensor network
Enhanced Data Rates for GSM Evolution
Node (physics)
Process (computing)
Time division multiple access
Energy (signal processing)
Computer network
Energy consumption
The Internet
Artificial intelligence
World Wide Web
Alternative medicine
Medicine
Mathematics
Biology
Operating system
Pathology
Engineering
Structural engineering
Statistics
Ecology
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1155/2022/2874497
- https://downloads.hindawi.com/journals/wcmc/2022/2874497.pdf
- OA Status
- hybrid
- Cited By
- 1
- References
- 35
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4285586884
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4285586884Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1155/2022/2874497Digital Object Identifier
- Title
-
Secure Information Collection and Energy Efficiency in Heterogeneous Sensor Networks Using Machine Learning with the Internet of ThingsWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2022Year of publication
- Publication date
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2022-01-01Full publication date if available
- Authors
-
Yogesh Misra, Ashish Srivastava, Aamir Junaid Ahmad, Ajay Singh Yadav, Subrahmanyam Voore, Ghalib H. Alshammri, Henry Kwame AtiglahList of authors in order
- Landing page
-
https://doi.org/10.1155/2022/2874497Publisher landing page
- PDF URL
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https://downloads.hindawi.com/journals/wcmc/2022/2874497.pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
hybridOpen access status per OpenAlex
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https://downloads.hindawi.com/journals/wcmc/2022/2874497.pdfDirect OA link when available
- Concepts
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Computer science, Protocol (science), Wireless sensor network, Enhanced Data Rates for GSM Evolution, Node (physics), Process (computing), Time division multiple access, Energy (signal processing), Computer network, Energy consumption, The Internet, Artificial intelligence, World Wide Web, Alternative medicine, Medicine, Mathematics, Biology, Operating system, Pathology, Engineering, Structural engineering, Statistics, EcologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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1Total citation count in OpenAlex
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2024: 1Per-year citation counts (last 5 years)
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35Number of works referenced by this work
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-
10Other works algorithmically related by OpenAlex
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