Improve Network Lifetime in WSN Through Cooperative Cross-Layer Isolation Method

Wireless Sensor Networks (WSN) is a data exchange network that has achieved tremendous growth in modern communications.The popularity of WSNs is due to the large number of sensor nodes transmitting data in densely populated areas.High traffic, delay, and bandwidth use cause energy loss and shorten WSN transmission lifetimes in multi-hop networks.Fewer energy consumption and improper routing lead to data loss while monitoring received signals.To tackle this problem, this paper introduces the Cooperative Sink Isolation (CIS) and Multi-hop Topology Driven Clustering Approach (MTDCA) techniques for enhanced Energy Aware Life Time Maximization (EALTM) in WSNs.The method retains records of exchanges carried out by sensor nodes in various duty cycles.It considers the past communications in the Routing Table (RT) and the energy levels of other nodes.The Traffic Aware Neighbour Discovery (TAND) technique is used to identify each node's traffic.Then, the Data Transmission Support Measure (DTSM) method analyses the network data communication support estimation.Next, the MTDCA technique is used to find the Cluster Head (CH) for data transmission in the network.Finally, the CIS algorithm improves the Network Lifetime (NL) based on elected CH.It boosts energy levels, extends data transmission lifetime in WSN, and delivers optimal performance at efficient energy levels.Therefore, the proposed method achieved a high throughput performance packet delivery ratio with less energy consumption than other methods.

Publication Details

Journal
National Journal Of Antennas And Propagation
Published
2025-01-01
DOI
https://doi.org/10.31838/njap/07.01.23
Primary Topic
IoT-based Smart Home Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Improve Network Lifetime in WSN Through Cooperative Cross-Layer Isolation Method

National Journal Of Antennas And Propagation
IoT-based Smart Home Systems
article

Improve Network Lifetime in WSN Through Cooperative Cross-Layer Isolation Method

article en

Abstract

Wireless Sensor Networks (WSN) is a data exchange network that has achieved tremendous growth in modern communications.The popularity of WSNs is due to the large number of sensor nodes transmitting data in densely populated areas.High traffic, delay, and bandwidth use cause energy loss and shorten WSN transmission lifetimes in multi-hop networks.Fewer energy consumption and improper routing lead to data loss while monitoring received signals.To tackle this problem, this paper introduces the Cooperative Sink Isolation (CIS) and Multi-hop Topology Driven Clustering Approach (MTDCA) techniques for enhanced Energy Aware Life Time Maximization (EALTM) in WSNs.The method retains records of exchanges carried out by sensor nodes in various duty cycles.It considers the past communications in the Routing Table (RT) and the energy levels of other nodes.The Traffic Aware Neighbour Discovery (TAND) technique is used to identify each node's traffic.Then, the Data Transmission Support Measure (DTSM) method analyses the network data communication support estimation.Next, the MTDCA technique is used to find the Cluster Head (CH) for data transmission in the network.Finally, the CIS algorithm improves the Network Lifetime (NL) based on elected CH.It boosts energy levels, extends data transmission lifetime in WSN, and delivers optimal performance at efficient energy levels.Therefore, the proposed method achieved a high throughput performance packet delivery ratio with less energy consumption than other methods.

National Journal Of Antennas And PropagationVol. 7(1)
Openalex Percentile: Top 83%
IoT-based Smart Home Systems
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.