Swarm Intelligence in Internet of Medical Things: A Review

Area of Science:

• Computer Science
• Artificial Intelligence
• Biomedical Engineering

Background:

• The Internet of Things (IoT) enables smart decision-making via interconnected devices.
• Swarm Intelligence (SI) algorithms facilitate cooperative problem-solving among multiple agents.
• The Internet of Medical Things (IoMT) leverages IoT for healthcare applications.

Approach:

• This paper investigates the integration of SI algorithms within IoT frameworks, specifically for IoMT.
• The role of wearable devices in IoMT is reviewed.
• Existing research on SI applications in IoMT is discussed.

Key Points:

• SI algorithms can address complex IoMT challenges including disease prediction, data encryption, and missing value imputation.
• Applications extend to resource allocation, network routing, and hardware failure management in IoMT.
• Wearable devices are a key component in IoMT data acquisition and SI-driven analysis.

Conclusions:

• SI offers a promising approach to enhance the capabilities and efficiency of IoMT systems.
• Future research should focus on novel SI algorithm development and deployment for advanced IoMT solutions.
• The synergy between SI and IoMT presents significant opportunities for improving healthcare outcomes.