Document Type : Letter to Editor
Author
Department of Computer Engineering, Shahr-e-Qods Branch, Islamic Azad University, Tehran, Iran
Dear Editor,
Wireless sensor networks, as an opening up new opportunities in medical science, have a promising future. The emergence of Smart E-Health, driven by the Internet of Things (IoT), has facilitated the development of intelligent healthcare [ 1 ].
Further, a wireless sensor network comprises independent sensors distributed at specific intervals, working together to monitor physical or environmental parameters. Each node within the network is equipped with a sensor, microcontroller, radio transmitter, and energy-saving element [ 2 ].
Wearable sensors for patients are often organized into simplified wireless networks due to time limitations [ 3 ]. Gateways and high security, as challenges, are needed. Web-based technologies, such as the semantic web, service-oriented processing, and cloud computing have facilitated global communication within virtual medical organizations. Consequently, an intelligent healthcare system first aims to remotely monitor patients in a safe and secure environment, involving leveraging the Internet of Things as a network of interconnected devices, in which data are transmitted through wireless connections to a central processor in the cloud and then shared accordingly.
Architecture of Interconnected Intelligent Things in the Internet of Things: [ 4 ]
The present letter explores the architecture of interconnected intelligent things within the IoT framework, with a focus on wireless sensor network technology, and specifically examines the security in the IoT’s three-layered structure for intelligent healthcare systems, according to the following sentences:
1. Sensor Layer: Ensuring security in sensors and RFID receivers.
2. Network Layer: Addressing security in network nodes, network infrastructure, and communication protocols.
3. Application Layer: Incorporating environmental monitoring, intelligent information transmission services, and cloud computation.
Further, the collected data from the nodes include the following information:
- Sensor, battery power data, and network and sensor graphs.
- Packets received or destroyed within the networks, neighboring nodes, and routing criteria.
Recommended Secure Architecture:
In the IoT, a secure architecture is recommended to establish robust security, which requires the following steps for each layer in the three-layered architecture:
1. Sensor Layer: Implementing light encoding technology and protecting sensor data.
2. Network Layer: Identity authentication, encoding mechanisms, and telecommunication security.
3. Application Layer: Identity authentication, privacy protection, security management, and secure cloud computation.
Cloud Computation:
This paradigm can combine wireless sensor networks with real-time data sharing and analysis capabilities for passing sensors. Cloud computation can be also employed to meet the high-level security requirements of intelligent healthcare systems. The convergence of robotic services and cloud processes can increase a new field, known as cloud robotics [ 5 ].
Conflict of Interest
None
References
- Masengo Wa Umba S, Abu-Mahfouz AM, Ramotsoela D. Artificial Intelligence-Driven Intrusion Detection in Software-Defined Wireless Sensor Networks: Towards Secure IoT-Enabled Healthcare Systems. Int J Environ Res Public Health. 2022; 19(9):5367. Publisher Full Text| | DOI| | PubMed
- Lăzăroiu G, Andronie M, Iatagan M, Geamănu M, Ștefănescu R, Dijmărescu I. Deep learning-assisted smart process planning, robotic wireless sensor networks, and geospatial big data management algorithms in the internet of manufacturing things. ISPRS Int J Geo-Inf. 2022; 11(5):277. DOI
- Kim YH, Chou D, Lee B, Danilovich M, Lazar A, Conroy DE, Kacorri H, Choe EK. Association for Computing Machinery: New York, NY, United States; 2022.
- Lake D, Milito R, Morrow M, Vargheese R. Internet of things: Architectural framework for ehealth security. Journal of ICT. 2014; 1(3):301-28. DOI
- Rabeifar F, Radfar R, Toloie Eshlaghy A. Cloud Robotic for Development of Smart Telemedicine. J Biomed Phys Eng. 2022; 12(3):225-6. Publisher Full Text| | DOI| | PubMed