Smart Hospital Sensor Network Deployment for Mobile and Remote Healthcare System

Area of Science:

• Computer Science
• Electrical Engineering
• Healthcare Technology

Background:

• Smart healthcare systems rely on robust sensor networks for data collection.
• Traditional sensor network deployment often prioritizes energy efficiency over connectivity in fixed environments like hospitals.
• Hospitals require stable network connectivity for critical healthcare applications and mobile patient monitoring.

Purpose of the Study:

• To propose an optimized hospital sensor network deployment method for smart healthcare.
• To minimize the overall network operation cost, including installation and maintenance.
• To guarantee continuous network connectivity for mobile sensor devices within the hospital.

Main Methods:

• Developed a novel access point (AP) layout strategy for hospital sensor networks.
• Calculated network operation cost per unit time, factoring in installation and maintenance expenses.
• Implemented a group numbering system for sensor nodes to ensure seamless connectivity for mobile devices.

Main Results:

• The proposed AP deployment method effectively minimizes overall network operation costs.
• The group numbering system guarantees persistent network connectivity for mobile sensor nodes.
• Numerical experiments validated the performance and efficiency of the proposed methodology.

Conclusions:

• Optimized gateway deployment is crucial for stable network connectivity in hospital sensor networks.
• The proposed method offers a cost-effective and reliable solution for smart healthcare infrastructure.
• This approach enhances the usability and performance of mobile sensor devices in clinical settings.