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Design and Analysis for Fall Detection System Simplification

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A Comprehensive Data Gathering Network Architecture in Large-Scale Visual Sensor Networks.

Jing Zhang¹, Pei-Wei Tsai², Xingsi Xue¹

¹School of Information Science and Engineering, Fujian University of Technology, and Fujian Provincial Key Laboratory of Big Data Mining and Applications, Fuzhou, China.

|January 8, 2020

Summary

This study introduces a Comprehensive Visual Data Gathering Network Architecture (CDNA) to address energy holes in Large-Scale Visual Sensor Networks (LVSNs). CDNA enhances network lifetime by balancing energy consumption and improving data gathering efficiency.

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Area of Science:

Computer Science
Network Engineering
Wireless Sensor Networks

Background:

Large-Scale Visual Sensor Networks (LVSNs) are crucial for event monitoring and data aggregation.
Non-uniform event distribution in LVSNs leads to unbalanced transmission loads and the energy hole problem, reducing network lifetime.

Purpose of the Study:

To introduce the Comprehensive Visual Data Gathering Network Architecture (CDNA) for LVSNs.
To overcome the energy hole problem and extend the network lifetime in LVSNs.

Main Methods:

Designed a novel α-hull based event location algorithm for accurate event detection.
Proposed a Chi-Square distribution event-driven gradient deployment method to reduce unbalanced energy consumption.
Developed an energy hole repairing method with an efficient data gathering tree and movement algorithm.

Main Results:

The proposed CDNA architecture significantly improves network lifetime compared to existing algorithms.
CDNA demonstrates superior performance in realistic LVSN environments.
Effectively alleviates the energy hole problem through balanced energy consumption and efficient data transmission.

Conclusions:

CDNA is an effective integrated architecture for enhancing LVSN performance and longevity.
The novel algorithms for event location, deployment, and energy hole repair contribute to a more robust network.
The findings suggest CDNA as a promising solution for practical LVSN applications.