A Study on Wireless Charging for Prolonging the Lifetime of Wireless Sensor Networks

Area of Science:

• Wireless Sensor Networks
• Energy Harvesting
• Mobile Charging

Background:

• Wireless charging is crucial for extending the operational lifespan of wireless sensor networks (WSNs).
• Current charging strategies often rely on mobile chargers following fixed paths, neglecting key variables.
• Existing methods primarily focus on sensor node residual energy, overlooking the mobile charger's travel efficiency.

Purpose of the Study:

• To develop an optimized wireless charging strategy for WSNs.
• To integrate sensor node residual energy and mobile charger travel distance into charging strategy design.
• To enhance the overall network lifetime through efficient energy management.

Main Methods:

• Theoretical analysis of sensor network size constraints relative to charging car capacity.
• Utilizing network factors as weights for the Traveling Salesman Problem (TSP) to determine optimal charger paths.
• Employing linear programming to calculate individual sensor node charging times.
• Investigating the overall charging period for the network.

Main Results:

• The proposed strategy effectively balances sensor energy needs with charger travel efficiency.
• Optimized path planning significantly reduces redundant travel for the mobile charging car.
• The charging schedule is dynamically adjusted based on real-time network conditions.
• Experimental validation demonstrates a substantial increase in WSN lifetime.

Conclusions:

• The integrated approach of considering both node energy and travel distance leads to superior wireless charging strategies.
• This method offers a practical solution for prolonging the operational life of wireless sensor networks.
• The findings provide a foundation for more intelligent and efficient mobile charging systems in WSNs.