Joint Energy Supply and Routing Path Selection for Rechargeable Wireless Sensor Networks

Area of Science:

• Computer Science
• Electrical Engineering
• Network Engineering

Background:

• Wireless sensor networks (WSNs) face limited operational duration due to battery constraints.
• Rechargeable WSNs offer a sustainable solution, but require efficient energy management and routing strategies.
• Extending network lifetime is crucial for reliable, long-term WSN deployments.

Purpose of the Study:

• To propose a joint energy supply and routing path selection algorithm for rechargeable WSNs.
• To enhance network lifetime by proactively managing energy replenishment and data routing.
• To investigate the impact of charging factors on routing decisions.

Main Methods:

• Development of a two-stage energy replenishment strategy to maximize node energy.
• Integration of charging factors into the next-hop node selection process for data routing.
• Simulation-based evaluation of the proposed algorithm's performance.

Main Results:

• The proposed algorithm effectively prolongs the network lifetime of rechargeable WSNs.
• The strategy successfully supplements node energy consumption through a two-stage replenishment approach.
• Dynamic adjustment of parameters allows for balancing network delay and energy consumption.

Conclusions:

• The joint energy supply and routing algorithm provides an effective solution for extending WSN network lifetime.
• The approach demonstrates the viability of proactive energy management in rechargeable WSNs.
• The algorithm offers flexibility to meet varying network performance requirements.