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Paper ID:10.55041/IJSREM20245

A Review Paper on Energy Efficient Clustering Schemes for WSN Assisted IOT Networks

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM20245

Volume:

7 |

5 |

May 2023

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

SR

Sunny Rana

SKR

Sandeep Kumar Rawat

SK

Shivanshu Katoch

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Abstract

:WSNs have seen a large improvement in their applications in recent years. WSNs are self-organized, non-wired networks that monitor ambient conditions such as temperature, tension, motion, audio, vibration, or contaminants and transmit data. Because of its sensor-based working standards, the WSN is becoming a common topic among numerous investigators. Clustering is a method used in WSNs to extend network lifecycle & provide more effective operating processes. Clustering is a topology management method that can gather nodes to boost efficiency of the network by controlling resources and distributing duties between many nodes in an adequate way. It divides a sensing field into clusters where cluster’s sensor node can be appointed as cluster head. The cluster-dependent routing protocol is a very energy-efficient technique of choosing and relaying information to the CH. Optimized clustering could save a significant amount of energy in the system. This review examines a variety of energy-efficient clustering methods utilized in the wireless sensor area.

KEYWORDS

WSN Energy Efficiency Clustering Cluster Head Clustering protocols.

Cite This Article

Sunny Rana, Sandeep Kumar Rawat, Shivanshu Katoch, "A Review Paper on Energy Efficient Clustering Schemes for WSN Assisted IOT Networks," International Journal of Scientific Research in Engineering and Management, vol. 7, no. 5, May 2023. https://doi.org/10.55041/IJSREM20245

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Publication Date

6/4/2023

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Double-Blind Peer Review

Review Rounds: 2

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