BAT: Barabasi–Albert With Topsis Scale-Free Topology Evolution for Load-Balanced WSNs-Reference-Cited by-同舟云学术

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BAT: Barabasi–Albert With Topsis Scale-Free Topology Evolution for Load-Balanced WSNs

Published:2023-08-01 Issue:15 Volume:23 Page:17627-17637
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Prasad Ikkurthi Bhanu¹^ORCID,Yogita ¹^ORCID,Yadav Satyendra Singh²^ORCID,Kumar Neeraj³^ORCID,Pal Vipin¹^ORCID

Affiliation:

1. Department of Computer Science and Engineering, National Institute of Technology Meghalaya, Shillong, India

2. Department of Electronics and Communication Engineering, National Institute of Technology, Shillong, Meghalaya, India

3. CSED, Thapar University, Patiala, Punjab, India

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/7361/10198840/10132380.pdf?arnumber=10132380

Reference18 articles.

1. A Location-less Energy Efficient Algorithm for Load Balanced Clustering in Wireless Sensor Networks

2. Toward robust and energy-efficient clustering wireless sensor networks: A double-stage scale-free topology evolution model

3. A Node Overhaul Scheme for Energy Efficient Clustering in Wireless Sensor Networks

4. BRATRA: Balanced Routing Algorithm With Transmission Range Adjustment for Energy Efficiency and Utilization Balance in WSNs

5. The research on WSNs scale-free topology for prolonging network lifetime;yin;Eng Lett,2021

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Enhancing Intrusion Tolerance of Clustered Wireless Sensor Networks Using a Double-Stage Scale-Free Topology Evolution Model;IEEE Sensors Journal;2024-08-15

2. LBAS: Load-Balancing Aware Clustering Scheme for IoT-Based Heterogeneous Wireless Sensor Networks;IEEE Sensors Journal;2024-05-01

3. HCM: a hierarchical clustering framework with MOORA based cluster head selection approach for energy efficient wireless sensor networks;Microsystem Technologies;2023-07-25

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