Node Role Selection and Rotation Scheme for Energy Efficiency in Multi-Level IoT-Based Heterogeneous Wireless Sensor...

Area of Science:

• Computer Science
• Electrical Engineering
• Network Engineering

Background:

• Internet of Things (IoT)-based heterogeneous wireless sensor networks (HWSNs) are crucial for human-centric applications.
• Efficient resource utilization, especially energy, is critical in HWSNs.
• Existing methods often lack multi-parameter and multi-level heterogeneity support.

Purpose of the Study:

• To propose a multi-parameter and multi-level heterogeneity model for IoT-based HWSNs.
• To enhance energy efficiency and maximize network lifetime.
• To improve data throughput to the base station.

Main Methods:

• A cluster-head rotation method for energy balancing and lifetime maximization.
• A mathematical framework for energy-efficient inter-cluster communication (single-hop vs. multi-hop).
• A relay-role rotation method among potential next-hop nodes.

Main Results:

• Up to a 57% increase in intra-cluster communication throughput.
• Improved energy efficiency in inter-cluster communication.
• Significant overall throughput increases compared to existing methods (RLEACH, CRPFCM, EERPMS).

Conclusions:

• The proposed multi-parameter and multi-level heterogeneity model effectively balances energy and maximizes the lifetime of IoT-based HWSNs.
• The developed communication strategies enhance both intra- and inter-cluster data transmission efficiency.
• The methods demonstrate superior performance over existing approaches, offering substantial throughput gains.