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Performance analysis of energy efficient improved LEACH protocol in IoT networks.

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Title: Performance analysis of energy efficient improved LEACH protocol in IoT networks.
Authors: Bhatia, Surbhi, Kumar, Ankit, Kumar, Adarsh, Alshuhail, Asma Shuhail
Source: IET Communications (Wiley-Blackwell); Jan2025, Vol. 19 Issue 1, p1-17, 17p
Subject Terms: Energy consumption, Internet of things, Cluster analysis (Statistics), Wireless sensor networks, Acquisition of data, Computer network protocols
Abstract: The Internet of Things incorporates embedded technologies, wireless sensor networks, control and automation technologies, and wearable devices to enable integrated buildings, enterprises, intelligent homes, and wearable devices. Because sensor nodes have limited power, the energy consumption of the Internet of Things network is critical. Low‐energy adaptive clustering hierarchy is a green protocol that divides the network into clusters of a fixed size. Cluster heads are assigned to each cluster so that information can be relayed to the base station. This protocol is a dynamic clustering protocol that changes cluster heads after each round within the community. The cluster heads are chosen in the network entirely based on the energy of each node and the distance between the sensor node and the base station. When sensor nodes aggregate data to the cluster head, energy is also consumed. The work proposed in this paper reduces wireless sensor network energy consumption by improving proposed protocol. The cache nodes combine data from the cluster heads node and send the extra data to the base station. The results show that the proposed work reduces the number of dead nodes in the network by 83 percent and increases the node energy level by 1.66 times. [ABSTRACT FROM AUTHOR]
Copyright of IET Communications (Wiley-Blackwell) is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Complementary Index
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DbLabel: Complementary Index
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PubType: Academic Journal
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IllustrationInfo
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  Data: Performance analysis of energy efficient improved LEACH protocol in IoT networks.
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  Data: <searchLink fieldCode="AR" term="%22Bhatia%2C+Surbhi%22">Bhatia, Surbhi</searchLink><br /><searchLink fieldCode="AR" term="%22Kumar%2C+Ankit%22">Kumar, Ankit</searchLink><br /><searchLink fieldCode="AR" term="%22Kumar%2C+Adarsh%22">Kumar, Adarsh</searchLink><br /><searchLink fieldCode="AR" term="%22Alshuhail%2C+Asma+Shuhail%22">Alshuhail, Asma Shuhail</searchLink>
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  Data: IET Communications (Wiley-Blackwell); Jan2025, Vol. 19 Issue 1, p1-17, 17p
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  Data: <searchLink fieldCode="DE" term="%22Energy+consumption%22">Energy consumption</searchLink><br /><searchLink fieldCode="DE" term="%22Internet+of+things%22">Internet of things</searchLink><br /><searchLink fieldCode="DE" term="%22Cluster+analysis+%28Statistics%29%22">Cluster analysis (Statistics)</searchLink><br /><searchLink fieldCode="DE" term="%22Wireless+sensor+networks%22">Wireless sensor networks</searchLink><br /><searchLink fieldCode="DE" term="%22Acquisition+of+data%22">Acquisition of data</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+network+protocols%22">Computer network protocols</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: The Internet of Things incorporates embedded technologies, wireless sensor networks, control and automation technologies, and wearable devices to enable integrated buildings, enterprises, intelligent homes, and wearable devices. Because sensor nodes have limited power, the energy consumption of the Internet of Things network is critical. Low‐energy adaptive clustering hierarchy is a green protocol that divides the network into clusters of a fixed size. Cluster heads are assigned to each cluster so that information can be relayed to the base station. This protocol is a dynamic clustering protocol that changes cluster heads after each round within the community. The cluster heads are chosen in the network entirely based on the energy of each node and the distance between the sensor node and the base station. When sensor nodes aggregate data to the cluster head, energy is also consumed. The work proposed in this paper reduces wireless sensor network energy consumption by improving proposed protocol. The cache nodes combine data from the cluster heads node and send the extra data to the base station. The results show that the proposed work reduces the number of dead nodes in the network by 83 percent and increases the node energy level by 1.66 times. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label:
  Group: Ab
  Data: <i>Copyright of IET Communications (Wiley-Blackwell) is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edb&AN=190327940
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      – Type: doi
        Value: 10.1049/cmu2.12500
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      – Code: eng
        Text: English
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        PageCount: 17
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        Type: general
      – SubjectFull: Internet of things
        Type: general
      – SubjectFull: Cluster analysis (Statistics)
        Type: general
      – SubjectFull: Wireless sensor networks
        Type: general
      – SubjectFull: Acquisition of data
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      – SubjectFull: Computer network protocols
        Type: general
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      – TitleFull: Performance analysis of energy efficient improved LEACH protocol in IoT networks.
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            NameFull: Bhatia, Surbhi
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            NameFull: Kumar, Ankit
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            – D: 01
              M: 01
              Text: Jan2025
              Type: published
              Y: 2025
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