Lifetime Maximization via Hole Alleviation in IoT Enabling Heterogeneous Wireless Sensor Networks

Area of Science:

• Computer Science
• Network Engineering
• Internet of Things (IoT)

Background:

• Wireless Sensor Networks (WSNs) in IoT face performance degradation due to void holes and energy holes.
• Void holes result from a lack of forwarder nodes, while energy holes stem from imbalanced traffic loads.
• Effective hole alleviation strategies are crucial for maximizing network lifespan.

Purpose of the Study:

• To propose a heterogeneous network solution for balancing energy dissipation in WSNs.
• To address and alleviate coverage and energy holes within IoT networks.
• To enhance overall network performance and longevity through optimized transmission strategies.

Main Methods:

• Implementation of a heterogeneous network architecture to balance energy dissipation.
• Application of a divide and conquer approach for even transmission distribution.
• Efficient forwarder node selection to mitigate coverage and energy holes.
• Linear optimization to validate energy minimization effectiveness.

Main Results:

• The proposed solution effectively balances energy dissipation among network nodes.
• Coverage and energy holes are significantly alleviated through efficient node selection.
• Simulations confirm the practical effectiveness of the proposed methods.
• Demonstrated superiority over baseline schemes in energy consumption and network lifetime.

Conclusions:

• The developed heterogeneous network solution optimizes energy dissipation and transmission distribution.
• The strategy successfully alleviates critical network issues like void and energy holes.
• This approach offers a superior method for enhancing WSN performance and extending network operational life.