ANALYSIS AND IMPROVED NOVEL ALGORITHEM FOR ENERGY EFFICIENT ROUTING PROTOCOL IN WSNS FOR IMPROVE THE NETWORK LIFETIME AND AVERAGE ENERGY CONSUMED BY CLUSTER HEADS SELECTION

April 2021
Vol-7, Issue-2
Paper ID: 13949
ISSN: 2395-4396
Downloads: 0

Abstract & Details

Research Area
Computer Engineering
Keywords
LEACH-C MATLAB WSN CH Energy etc.
Abstract
A level-based clustering approach protocol has been proposed. A model based on network power level is being developed. We use mathematical formulas to select cluster heads. For this we have copied a developed model in MATLAB. We are providing the number of cluster and network lifetimes, which is the simulation result of the energy consumption of the provided cluster head. Experimentally it is assumed that the energy consumption for each side CH in EERFHS is lower than that of LEACH. For example, after 400 rounds, LEACH consumed about 84 of the initial energy while EERFHS has about 30. The developed model is simulated in MATLAB. Simulation results of energy consumption of cluster heads, clusters, and network duration are provided. Applying heterogeneous networks will enhance the projected theme to optimize the amount of levels with improvements in network energy consumption and network duration.

Author Information

# Name Institute / Affiliation
1 Shipra Khandelwal Bhagwant University
2 Dr. Pushpneel Verma Bhagwant University

How to Cite

Use the following formats to cite this article in your research.

APA Style
Khandelwal, Shipra & Verma, Dr. Pushpneel (2021). ANALYSIS AND IMPROVED NOVEL ALGORITHEM FOR ENERGY EFFICIENT ROUTING PROTOCOL IN WSNS FOR IMPROVE THE NETWORK LIFETIME AND AVERAGE ENERGY CONSUMED BY CLUSTER HEADS SELECTION. International Journal of Advance Research and Innovative Ideas In Education, 7(2), 904-911.
MLA Style
Khandelwal, Shipra, and Dr. Pushpneel Verma. "ANALYSIS AND IMPROVED NOVEL ALGORITHEM FOR ENERGY EFFICIENT ROUTING PROTOCOL IN WSNS FOR IMPROVE THE NETWORK LIFETIME AND AVERAGE ENERGY CONSUMED BY CLUSTER HEADS SELECTION." International Journal of Advance Research and Innovative Ideas In Education, vol. 7, no. 2, 2021, pp. 904-911.
IEEE Style
Shipra Khandelwal and Dr. Pushpneel Verma, "ANALYSIS AND IMPROVED NOVEL ALGORITHEM FOR ENERGY EFFICIENT ROUTING PROTOCOL IN WSNS FOR IMPROVE THE NETWORK LIFETIME AND AVERAGE ENERGY CONSUMED BY CLUSTER HEADS SELECTION," International Journal of Advance Research and Innovative Ideas In Education, vol. 7, no. 2, pp. 904-911, 2021.
Vancouver Style
Khandelwal Shipra, Verma Dr. Pushpneel. ANALYSIS AND IMPROVED NOVEL ALGORITHEM FOR ENERGY EFFICIENT ROUTING PROTOCOL IN WSNS FOR IMPROVE THE NETWORK LIFETIME AND AVERAGE ENERGY CONSUMED BY CLUSTER HEADS SELECTION. International Journal of Advance Research and Innovative Ideas In Education. 2021;7(2):904-911.
Harvard Style
Khandelwal, Shipra & Verma, Dr. Pushpneel (2021) 'ANALYSIS AND IMPROVED NOVEL ALGORITHEM FOR ENERGY EFFICIENT ROUTING PROTOCOL IN WSNS FOR IMPROVE THE NETWORK LIFETIME AND AVERAGE ENERGY CONSUMED BY CLUSTER HEADS SELECTION', International Journal of Advance Research and Innovative Ideas In Education, 7(2), pp. 904-911.
Chicago Style
Khandelwal, Shipra and Dr. Pushpneel Verma. "ANALYSIS AND IMPROVED NOVEL ALGORITHEM FOR ENERGY EFFICIENT ROUTING PROTOCOL IN WSNS FOR IMPROVE THE NETWORK LIFETIME AND AVERAGE ENERGY CONSUMED BY CLUSTER HEADS SELECTION." International Journal of Advance Research and Innovative Ideas In Education 7, no. 2 (2021): 904-911.
Turabian Style
Khandelwal, Shipra and Dr. Pushpneel Verma. "ANALYSIS AND IMPROVED NOVEL ALGORITHEM FOR ENERGY EFFICIENT ROUTING PROTOCOL IN WSNS FOR IMPROVE THE NETWORK LIFETIME AND AVERAGE ENERGY CONSUMED BY CLUSTER HEADS SELECTION." International Journal of Advance Research and Innovative Ideas In Education 7, no. 2 (2021): 904-911.

Export Citation

Related Research

A Deep Learning-Based Framework for Mood-Oriented Music Recommendation Using Facial Expression Analysis
Vaibhav Ashok Bhangare et al. 2026 Computer Engineering
PDF Unavailable
Survey On : Intelligent Payroll and Human Resource Management Systems: A Systematic Review of Automation, Security, and Analytics
Vishakha Jadhav et al. 2026 Human Resource Management, Artificial Intelligence, Machine Learning, Payroll Systems, Cybersecurity, Business Intelligence, Robotic Process Automation, Employee Analytics, Digital Transforma
PDF Unavailable
Civic Engagement & Empowerment Platform
Supriya Dadaso Bankar et al. 2026 Computer engineering
PDF Unavailable
RAG System Development with Pydantic AI ChromaDB & Groq
Prof. Priyanka P. Kakade et al. 2026 Computer Engineering
PDF Unavailable
Machine Learning Based Early Stage Diabetes Detection System
Rohan Mulik et al. 2026 Computer Engineering
PDF Unavailable
A Survey on Skillsense:AI Career Analyzer App
Kirti Datir et al. 2026 Computer Engineering
PDF Unavailable
Employee Performance Portal
P.Harika et al. 2026 Computer science and engineering
PDF Unavailable