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An Effective and Robust Decentralized Target Tracking Scheme in Wireless Camera Sensor Networks.

Pengcheng Fu^1,2, Yongbo Cheng^3,4, Hongying Tang⁵

¹Science and Technology on Microsystem Laboratory, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 201800, China. fupc@mail.sim.ac.cn.

Sensors (Basel, Switzerland)

|March 25, 2017

Summary

This study introduces a decentralized tracking scheme using the square root cubature information filter (SRCIF) for wireless camera sensor networks (WCNs). The method effectively balances energy consumption and tracking accuracy, improving upon existing approaches.

Keywords:

camera selection decentralized information filter sensor fusion target tracking wireless camera sensor networks

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Last Updated: Mar 5, 2026

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Published on: March 13, 2017

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A Protocol for Real-time 3D Single Particle Tracking

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Published on: January 3, 2018

Area of Science:

Computer Science
Electrical Engineering
Robotics

Background:

Wireless Camera Sensor Networks (WCNs) face challenges in balancing energy efficiency and tracking accuracy.
Existing tracking schemes often struggle with the unique constraints of camera nodes, such as limited energy and field of view (FOV).

Purpose of the Study:

To propose an effective and robust decentralized tracking scheme for WCNs.
To enhance energy efficiency and tracking accuracy by integrating specialized mechanisms tailored for camera nodes.

Main Methods:

Implemented a decentralized tracking approach for energy-efficient and steady operation.
Employed a greedy on-line decision approach for dynamic task cluster node selection based on contribution decision (CD).
Designed an optimized cluster head (CH) selection mechanism considering remaining energy and distance-to-target.

Main Results:

The proposed scheme demonstrates improved performance in balancing energy consumption and tracking accuracy.
Analysis of target detection probability was conducted, considering directional sensing and FOV limitations of camera nodes.

Conclusions:

The developed decentralized tracking scheme effectively addresses the trade-off between energy consumption and tracking accuracy in WCNs.
The integrated mechanisms provide a robust solution for resource-constrained camera nodes in tracking applications.