A smart checkpointing scheme for improving the reliability of clustering routing protocols

Area of Science:

• Computer Science
• Electrical Engineering
• Network Engineering

Background:

• Wireless sensor networks (WSNs) face resource constraints and scalability challenges due to numerous low-power sensor nodes.
• Clustering routing protocols with data aggregation are used to minimize packet numbers and meet WSN requirements.
• Cluster heads are crucial for collecting and aggregating data from member nodes.

Purpose of the Study:

• To propose a checkpointing scheme for cluster heads in WSNs to improve reliability and reduce recovery latency.
• To derive an optimal checkpointing interval that balances reliability and energy consumption.
• To evaluate the proposed scheme against existing non-checkpointing protocols.

Main Methods:

• Implemented a checkpointing scheme where backup nodes periodically monitor and save the state of the cluster head.
• Derived a mathematical model to determine the checkpointing interval for maximizing reliability under constant energy expenditure.
• Conducted experimental comparisons with traditional non-checkpointing clustering routing protocols.

Main Results:

• The proposed checkpointing scheme significantly reduces energy consumption compared to existing methods.
• Recovery latency is substantially decreased with the implemented checkpointing strategy.
• The derived checkpointing interval effectively maximizes reliability while maintaining comparable energy usage.

Conclusions:

• The novel checkpointing scheme enhances the reliability and efficiency of wireless sensor networks.
• This approach offers a practical solution for managing cluster head failures and data loss in resource-constrained WSNs.
• The findings suggest a promising direction for developing more robust and resilient WSN architectures.