An Event-Aware Cluster-Head Rotation Algorithm for Extending Lifetime of Wireless Sensor Network with Smart Nodes.

Area of Science:

• Computer Science
• Electrical Engineering
• Network Engineering

Background:

• Wireless sensor networks (WSNs) rely on smart sensor nodes for data processing and event recognition.
• Nodes are clustered, with a cluster head managing data, leading to faster energy depletion.
• Extending WSN lifetime requires efficient cluster-head rotation strategies.

Purpose of the Study:

• To propose and evaluate a new method for extending the operational lifetime of WSNs with smart nodes.
• To introduce an algorithm for effective cluster-head role rotation based on predicted energy consumption.
• To reduce overall network energy usage by suppressing unnecessary data transmissions.

Main Methods:

• Developed a novel algorithm for dynamic cluster-head rotation in WSNs.
• Implemented a lightweight energy consumption model considering transmission probabilities.
• Integrated cluster-head rotation with data transmission suppression techniques.
• Conducted experimental evaluations on a prototype WSN.

Main Results:

• The proposed method demonstrated a significant extension of wireless sensor network lifetime.
• Experimental results confirmed reduced energy consumption compared to baseline methods.
• The cluster-head rotation algorithm effectively balanced energy load among nodes.
• Suppression of unnecessary data transmissions contributed to overall network longevity.

Conclusions:

• The combined approach of intelligent cluster-head rotation and data transmission suppression effectively prolongs WSN lifetime.
• The lightweight energy model provides accurate predictions for effective rotation control.
• This method offers a practical solution for enhancing the endurance of smart sensor networks.