An Effective Collaborative Mobile Weighted Clustering Schemes for Energy Balancing in Wireless Sensor Networks

Area of Science:

• Wireless Sensor Networks
• Mobile Computing
• Data Processing

Background:

• Mobile sensor nodes require efficient data processing and communication bandwidth management.
• Pipeline inspection and oil leakage monitoring present unique challenges for sensor networks.

Purpose of the Study:

• To propose a collaborative weighted mobile sensing scheme for pipeline inspection and oil leakage monitoring.
• To enhance energy efficiency and data processing robustness in mobile sensor networks.

Main Methods:

• Implementing a weighted mobile sensing scheme.
• Utilizing an adaptive collaborative clustering protocol for energy load distribution.
• Theoretical analysis and experimental validation.

Main Results:

• The proposed protocol achieves an even distribution of energy load among mobile sensor nodes.
• Optimized utilization of battery energy in sensor nodes.
• Demonstrated energy-efficient collaborative strategy with high power gain.

Conclusions:

• The collaborative weighted mobile sensing scheme effectively addresses pipeline inspection and oil leakage monitoring challenges.
• The protocol enhances the efficiency, robustness, and energy conservation of mobile sensor networks.