An Intelligent Opportunistic Routing Algorithm for Wireless Sensor Networks and Its Application Towards e-Healthcare

Area of Science:

• Computer Science
• Network Engineering
• Machine Learning

Background:

• Node lifetime is critical for wireless sensor network (WSN) longevity.
• Packet routing is a major energy drain for sensor nodes, necessitating energy-efficient strategies.
• Opportunistic Routing (OR) offers potential for improved reliability and energy efficiency in WSNs.

Purpose of the Study:

• To propose an intelligent opportunistic routing (IOP) protocol for WSNs.
• To leverage machine learning for selecting optimal relay nodes.
• To enhance both energy efficiency and network reliability.

Main Methods:

• Developed an intelligent opportunistic routing (IOP) protocol.
• Integrated a machine learning technique for relay node selection.
• Evaluated the protocol's performance in terms of energy consumption and reliability.

Main Results:

• The proposed IOP protocol demonstrates improved energy efficiency in WSNs.
• Enhanced network reliability was achieved through intelligent relay node selection.
• The IOP protocol shows promise for applications like e-healthcare.

Conclusions:

• The IOP protocol effectively balances energy efficiency and reliability in WSNs.
• Machine learning integration is a viable approach for optimizing WSN routing.
• The protocol's potential for enhancing e-healthcare services through reliable and long-lasting connectivity is significant.