Hybrid Cyber Petri net Modelling, Simulation and Analysis of Master-Slave Charging for Wireless Rechargeable Sensor...

Area of Science:

• Wireless Sensor Networks
• Energy Harvesting
• Hybrid Systems Modeling

Background:

• Wireless charging is crucial for Wireless Rechargeable Sensor Networks (WRSNs).
• Fixed and mobile charging alone face limitations in energy replenishment efficiency and speed for large networks.
• Existing charging strategies struggle to provide sufficient energy to all sensor nodes within practical timeframes.

Purpose of the Study:

• To propose a novel Master-Slave Charging mode for WRSNs, integrating fixed (master) and mobile (slave) charging.
• To develop a Hybrid Cyber Petri net system for modeling and mathematically expressing the Master-Slave Charging mode.
• To optimize the deployment of fixed chargers and the path planning of mobile chargers for enhanced energy efficiency.

Main Methods:

• Modeling wireless charging in WRSNs as a hybrid system for the first time.
• Utilizing a Hybrid Cyber Petri net for visual specification and mathematical expression of the Master-Slave Charging mode.
• Employing a greedy-genetic algorithm to maximize energy delivery and minimize mobile charger travel distance.

Main Results:

• The Hybrid Cyber Petri net model effectively represents the Master-Slave Charging dynamics.
• Simulation results validate the proposed model's accuracy and performance.
• The greedy-genetic algorithm successfully optimizes charger placement and mobile charger routes.

Conclusions:

• The Master-Slave Charging mode offers a viable solution for improving energy replenishment in WRSNs.
• The Hybrid Cyber Petri net provides a robust framework for analyzing complex hybrid charging systems.
• The proposed model demonstrates high adaptability for various wireless charging strategies in WRSNs.