An Intelligent Healthcare System Using IoT in Wireless Sensor Network.

Area of Science:

• Computer Science
• Electrical Engineering
• Biomedical Engineering

Background:

• The Internet of Things (IoT) relies on wireless sensor networks (WSN) for data collection, facing challenges in energy consumption, lifespan, and security.
• Healthcare applications using IoT and WSN require robust methods for real-time data transmission and protection against various attacks.

Purpose of the Study:

• To propose an intelligent healthcare system utilizing nano sensors for real-time health status monitoring.
• To develop a secure and efficient data transmission method addressing time consumption and security concerns in WSN.

Main Methods:

• Implementation of nano sensors for collecting and transmitting real-time health data.
• Development of a genetic-based encryption algorithm for secure data transmission over wireless channels.
• Introduction of an authentication procedure for authorized access to the data channel.

Main Results:

• The proposed genetic-based encryption method significantly enhances data security during wireless transmission.
• The system demonstrates lightweight and energy-efficient performance, crucial for WSN applications.
• A 90% reduction in time consumption was observed compared to existing techniques, alongside a higher security ratio.

Conclusions:

• The developed intelligent healthcare system effectively secures real-time health data using a novel genetic-based encryption and authentication approach.
• The proposed solution is lightweight, energy-efficient, and significantly reduces data transmission time, making it suitable for IoT healthcare.
• This research addresses critical security and efficiency challenges in WSN for remote patient monitoring.