Research on Clustering Algorithm for Wireless Sensor Networks

This paper presents a new algorithm to reduce network energy consumption and extend network life cycle, the methods such as adding supplementary nodes, improving the probability of cluster node becoming cluster head, and improving the inter-cluster transmission method are mainly utilized. The problems of node energy loss too fast, network energy consumption imbalance, and energy consumption from cluster head to base station are solved. Simulation results show that the new algorithm proposed in this paper improves 17 times and 28.3% in data transmission, 88.5% and 8.7% in prolonging the network lifecycle, and 62.4% and 35.9% in reducing the energy loss of the network compared with the LEACH algorithm and DEEC algorithm.

Authors

Institutions

Publication Details

Published
2024-09-20
DOI
https://doi.org/10.1109/spic62469.2024.10691470
Citations
1
Primary Topic
Wireless Sensor Networks and IoT
Type
article
Field-Weighted Citation Impact
0.33
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Research on Clustering Algorithm for Wireless Sensor Networks

Ying Liang, Ting Han
1 citations
Wireless Sensor Networks and IoT
0.33
article

Research on Clustering Algorithm for Wireless Sensor Networks

Ying Liang, Ting Han
article en
1 citations

Abstract

This paper presents a new algorithm to reduce network energy consumption and extend network life cycle, the methods such as adding supplementary nodes, improving the probability of cluster node becoming cluster head, and improving the inter-cluster transmission method are mainly utilized. The problems of node energy loss too fast, network energy consumption imbalance, and energy consumption from cluster head to base station are solved. Simulation results show that the new algorithm proposed in this paper improves 17 times and 28.3% in data transmission, 88.5% and 8.7% in prolonging the network lifecycle, and 62.4% and 35.9% in reducing the energy loss of the network compared with the LEACH algorithm and DEEC algorithm.

Shenyang Ligong University (CN)
Affordable and clean energy
Openalex Percentile: Top 41%
Wireless Sensor Networks and IoT
0.33
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.