Review on Optimization Techniques for Prolonging the Lifetime of Wireless Sensor Network

From industrial automation to environmental monitoring, wireless sensor networks (WSNs) are now rather crucial in many different applications. Nevertheless, the lifetime of these networks is seriously threatened by the finite energy resources of sensor nodes. A thorough overview of optimisation methods meant to extend WSN lifetime is given in this work. We investigate several methods including data aggregation methods, clusterings, duty cycling systems, and energy-efficient routing protocols. Furthermore included in the article are developing trends including energy harvesting techniques and machine learning-based optimisation. By means of a methodical review of current studies, we pinpoint the most interesting approaches and draw attention to areas of future WSN lifespan optimisation research need.

Authors

Publication Details

Published
2024-12-25
DOI
https://doi.org/10.53555/kuey.v30i11.8950
Primary Topic
Wireless Sensor Networks and IoT
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Review on Optimization Techniques for Prolonging the Lifetime of Wireless Sensor Network

Ravi Kant
Wireless Sensor Networks and IoT
article

Review on Optimization Techniques for Prolonging the Lifetime of Wireless Sensor Network

Ravi Kant
article en

Abstract

From industrial automation to environmental monitoring, wireless sensor networks (WSNs) are now rather crucial in many different applications. Nevertheless, the lifetime of these networks is seriously threatened by the finite energy resources of sensor nodes. A thorough overview of optimisation methods meant to extend WSN lifetime is given in this work. We investigate several methods including data aggregation methods, clusterings, duty cycling systems, and energy-efficient routing protocols. Furthermore included in the article are developing trends including energy harvesting techniques and machine learning-based optimisation. By means of a methodical review of current studies, we pinpoint the most interesting approaches and draw attention to areas of future WSN lifespan optimisation research need.

Affordable and clean energy
Openalex Percentile: Top 70%
Wireless Sensor Networks and IoT
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.