Energy Efficient Heterogeneous WNS Clustering Using Machine Learning

Authors

  • Kamini Maheshwar
  • Dr. S. Veenadhari
  • Mr Almelu

DOI:

https://doi.org/10.24113/ijoscience.v7i6.391

Keywords:

HWSN, Clustering, Energy Efficient.

Abstract

Heterogeneous wireless sensor network (HWSN) fulfills the requirements of researchers in the design of real-life application to resolve the issues of unattended problem. Wireless sensor networks are used in diverse areas such as battlefields, security, hospitals, universities, etc. It has been used in our everyday lives. Its development is rising day by day. Wireless sensor network includes hundreds to thousands of sensor nodes which aid in gathering various information like temperature, sound, location, etc. Recharging or modifying sensor nodes which might have limited battery power is usually difficult. Therefore, energy conservation is a crucial concern in sustaining the network. Clustering the networks is definitely one of the most common solutions for rendering WSNs energy. In this paper,   review and compare different energy-efficient clustering protocols for WSNs

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Author Biographies

Kamini Maheshwar

PhD Scholar

Computer Science & Engineering,

Rabindranath Tagore University

Bhopal, India

 

Dr. S. Veenadhari

Associate Professor

Computer Science & Engineering

Rabindranath Tagore University

Bhopal, India

 

Mr Almelu

PhD Scholar

Computer Science & Engineering, Rabindranath Tagore University

Bhopal, India

 

References

Santosh Anand, Manoj K.C, " A Survey on Clustering Approaches to Strengthen the Performance of Wireless

Sensor Network," in IEEE xplore, September 2020.

Ling Chen, Wenwen Liu, Daofu Gong, Yan Chen, “Clustering and Routing Optimization Algorithm for Heterogeneous Wireless Sensor Networks," in IEEE, 2020. DOI: https://doi.org/10.1109/IWCMC48107.2020.9148576

Jayant Kumar Rout,” A Novel Clustering Protocol in Wireless Sensor Network, “in IEEE, 2019.

Abhishek Prajapati, Vinay Kumar, Prince Rajpoot, Kumkum Dubey, Shubham Harsh Singh, Neetu Verma,” Multi-Objective Heterogeneous Clustering Approach for Efficient-Energy Optimization in WSN,”in IEEE,2019. DOI: https://doi.org/10.1109/CONFLUENCE.2019.8776965

Kumkum Dubey, Adarsh Kumar Yadav, Pappu Kumar, Prashant Shekhar, Prince Rajpoot, Shobhit Kumar,” Power Optimization Algorithm for Heterogeneous WSN using Multiple Attributes,”IEEE,2019. DOI: https://doi.org/10.1109/ICCMC.2019.8819705

Sushant Kumar, Aman Gupta, Kumar Shaurya, Shashank Kumar, Amrit Mukherjee,” Energy based Clustering Heterogeneous Wireless Sensor Network: A Study,”IEEE, 2018. DOI: https://doi.org/10.1109/ICECA.2018.8474866

Piyush Rawat, Siddhartha Chauhan,” Energy Efficient Clustering in Heterogeneous Environment,”IEEE Xplore, 2018. DOI: https://doi.org/10.1109/ICICCT.2018.8473296

Deep Kumar Bangotra , Yashwant Singh ,Arvind Selwal,” Machine Learning in Wireless Sensor Networks:Challenges and Opportunities,”IEEE, December 2018. DOI: https://doi.org/10.1109/PDGC.2018.8745845

Sonam Maurya, Vinod Kumar Jain,” Enhanced EECP: Enhanced Energy Efficient Coverage Preserving Protocol for Heterogeneous Wireless Sensor Networks,”IEEE,2018. DOI: https://doi.org/10.1109/INFOCOMTECH.2018.8722411

Himanshu Ranjan Seth,, Chiranjeev Kumar,, Haider Banka ,” Real-Time Implementation of Energy-Efficient Clustering Protocol in WSN”IEEE,2018.

Shashi Bhushan, Raju Pal, Svetlana G Antoshchuk,” Energy Efficient Clustering Protocol for Heterogeneous Wireless Sensor Network: A Hybrid Approach using GA and Kmeans,”IEEE,august 2018. DOI: https://doi.org/10.1109/DSMP.2018.8478538

Anurag Chatap, Sumedha Sirsikar,” Review On Various Routing Protocols For Heterogeneous Wireless SensorNetwork,”IEEE, 2017. DOI: https://doi.org/10.1109/I-SMAC.2017.8058388

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Published

06/24/2021

How to Cite

Maheshwar, K. ., Veenadhari, D. S. ., & Almelu, M. (2021). Energy Efficient Heterogeneous WNS Clustering Using Machine Learning. SMART MOVES JOURNAL IJOSCIENCE, 7(6), 24–29. https://doi.org/10.24113/ijoscience.v7i6.391

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Articles