SPICE-IT: Smart COVID-19 pandemic controlled eradication over NDN-IoT

Area of Science:

• Computer Science
• Public Health
• Network Engineering

Background:

• Internet of Things (IoT) applications in e-health are crucial for managing pandemics and disease outbreaks.
• Effective disease control necessitates monitoring Standard Operating Procedure (SOP) compliance in at-risk populations.
• IoT devices face resource limitations and require delay-sensitive data transmission, while Named Data Networking (NDN) presents cache overflow and congestion issues.

Purpose of the Study:

• To present a novel smart COVID-19 pandemic-controlled eradication over NDN-IoT (SPICE-IT) mechanism.
• To address the challenges of resource-limited IoT devices and NDN in pandemic management.
• To introduce an efficient and cost-effective solution for disease monitoring and response.

Main Methods:

• Implementing autonomous monitoring in indoor environments using an efficient pull-based reporting mechanism.
• Utilizing intelligent face mask detection and temperature monitoring for individual screening.
• Employing a Long Short-Term Memory (LSTM) based caching mechanism to reduce cache overflow and network congestion.
• Integrating a cloud server with an adaptive decision-making mechanism for centralized control of response actions.

Main Results:

• The SPICE-IT mechanism enables autonomous monitoring and violation reporting to local and cloud servers.
• Intelligent screening mechanisms ensure adherence to safety protocols.
• The LSTM-based caching effectively mitigates cache overflow and network congestion issues.
• Adaptive decision-making at the cloud server optimizes response actions.

Conclusions:

• The SPICE-IT mechanism offers a novel and effective approach to pandemic control using NDN-IoT.
• This system enhances disease monitoring, SOP compliance, and response mechanisms in health emergencies.
• The proposed solution addresses critical network challenges, paving the way for efficient e-health applications during pandemics.