Energy Efficient Clustering Protocol for Smart phone for sending DFU results to health care specialists

October 2023
Vol-9, Issue-5
Paper ID: 21852
ISSN: 2395-4396
Downloads: 0

Abstract & Details

Research Area
computer science
Keywords
Diabetic Foot Ulcer FNN PSO
Abstract
The appropriate minimization of nodes energy consumption as well as the uniform energy depletion of all nodes, are critical parameters in order to increase the time the network is fully operational. A main reason of energy depletion concerns the need for transmitting the sensed data from the sensor nodes (SNs) to remote sinks. These data are typically relayed using ad hoc multi-hop routes in the Smart Phone for Sending DFU. A side-effect of this approach is that the SNs located closer to the sink are heavily used to relay data from all network nodes; hence, their energy is consumed faster, leading to a non-uniform depletion of energy in the Smart Phone for Sending DFU. Because of more data collections and more packet transmission, the usage of energy of the system is more. For performing best clustering process Fan – Shaped Clustering (FSC) where the large scale network partitioned into fan-shaped clusters. In this approach performed with various combination of energy saving methods such as selection of cluster head and relay node, implementation of re-clustering and an efficient routing method and hotspot solution. For reducing signaling cost, localization re-clustering process performed. Selection of CH, Initially central area has been introduced. The usage of CH selection can optimize the intra-communication cost and reduce re-clustering frequency. Every CH pass the packet to their relay node, then the relay node transferred the packets to the next inner cluster group. All this process enabled the network to achieve good performance. Finally analyze the performance based on the different criteria such as the total alive nodes, the total residual energy and the packet collection rate with the some important parameters radius of central area, the energy threshold for relays and CHs

Author Information

# Name Institute / Affiliation
1 Prakash R V S.E.A. College of Engineering & Technology
2 Dr. K Sundeep Kumar S.E.A. College of Engineering & Technology

How to Cite

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

APA Style
V, Prakash R & Kumar, Dr. K Sundeep (2023). Energy Efficient Clustering Protocol for Smart phone for sending DFU results to health care specialists. International Journal of Advance Research and Innovative Ideas In Education, 9(5), 2191-2197.
MLA Style
V, Prakash R, and Dr. K Sundeep Kumar. "Energy Efficient Clustering Protocol for Smart phone for sending DFU results to health care specialists." International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 5, 2023, pp. 2191-2197.
IEEE Style
Prakash R V and Dr. K Sundeep Kumar, "Energy Efficient Clustering Protocol for Smart phone for sending DFU results to health care specialists," International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 5, pp. 2191-2197, 2023.
Vancouver Style
V Prakash R, Kumar Dr. K Sundeep. Energy Efficient Clustering Protocol for Smart phone for sending DFU results to health care specialists. International Journal of Advance Research and Innovative Ideas In Education. 2023;9(5):2191-2197.
Harvard Style
V, Prakash R & Kumar, Dr. K Sundeep (2023) 'Energy Efficient Clustering Protocol for Smart phone for sending DFU results to health care specialists', International Journal of Advance Research and Innovative Ideas In Education, 9(5), pp. 2191-2197.
Chicago Style
V, Prakash R and Dr. K Sundeep Kumar. "Energy Efficient Clustering Protocol for Smart phone for sending DFU results to health care specialists." International Journal of Advance Research and Innovative Ideas In Education 9, no. 5 (2023): 2191-2197.
Turabian Style
V, Prakash R and Dr. K Sundeep Kumar. "Energy Efficient Clustering Protocol for Smart phone for sending DFU results to health care specialists." International Journal of Advance Research and Innovative Ideas In Education 9, no. 5 (2023): 2191-2197.

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