An Energy Balance Clustering Routing Protocol for Intra-Body Wireless Nanosensor Networks

Area of Science:

• Nanotechnology
• Wireless Sensor Networks
• Biomedical Engineering

Background:

• Wireless NanoSensor Networks (WNSNs) integrate nanotechnology and sensor networks, showing promise for intra-body health monitoring and biomedicine.
• Intra-body Wireless NanoSensor Networks (iWNSNs) are a growing research area due to their potential applications.
• Nanosensor nodes typically have limited computational power, communication range, and energy storage.

Purpose of the Study:

• To propose an energy-efficient routing protocol for intra-body nanosensor nodes.
• To address the challenges of low processing capabilities and limited energy in iWNSNs.
• To enhance the performance of intra-body wireless nanosensor networks.

Main Methods:

• Introduced an energy balance clustering routing protocol (EBCR) for iWNSNs.
• Implemented a hierarchical clustering method to reduce nano-node communication load.
• Utilized a one-hop data transmission from nano-nodes to cluster heads.
• Employed multi-hop routing among cluster heads to reach the nano control node.
• Incorporated a distance and channel capacity tradeoff for next-hop selection to conserve energy.

Main Results:

• The EBCR protocol effectively balances energy consumption among nanosensor nodes.
• The proposed protocol significantly prolongs the operational lifetime of the iWNSN.
• EBCR ensures a high success rate for data packet transmission within the body.
• Simulation results validate the protocol's advantages over existing methods.

Conclusions:

• The EBCR protocol is a viable and effective routing solution for intra-body wireless nanosensor networks.
• This protocol addresses key limitations of nanosensor nodes, improving network efficiency.
• EBCR facilitates reliable and long-term health monitoring using iWNSNs.