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Related Experiment Video

Updated: Jul 27, 2025

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

Energy-Efficient Algorithms for Path Coverage in Sensor Networks.

Zhixiong Liu¹, Wei Zhou²

¹School of Computer Science and Engineering, Changsha University, Changsha 410022, China.

Sensors (Basel, Switzerland)

|June 10, 2023

Summary

This summary is machine-generated.

This study addresses energy conservation in sensor networks for path coverage. It introduces novel methods for minimizing node movement and maximizing network lifetime, crucial for efficient sensor operation.

Keywords:

curve disjunction least movement path coverage sensor network weighted bipartite matching

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Area of Science:

Computer Science
Electrical Engineering
Network Engineering

Background:

Path coverage is vital for applications like object tracing in sensor networks.
Existing research often overlooks energy conservation, a critical constraint for sensors.
Limited energy availability necessitates efficient strategies for sensor network operation.

Purpose of the Study:

To address two novel problems in energy conservation for sensor networks concerning path coverage.
To develop mechanisms for minimizing node movement while maintaining path coverage.
To devise strategies for maximizing the operational lifetime of sensor networks during path coverage tasks.

Main Methods:

Proving the 'least movement of nodes on path coverage' problem as NP-hard.
Utilizing curve disjunction to discretize paths and heuristic regulations for node repositioning.
Employing largest weighted bipartite matching to partition nodes for 'largest lifetime on path coverage'.

Main Results:

A novel mechanism for path coverage that is not limited to linear paths.
A scheduling approach for partitioned nodes to cover paths sequentially, enhancing network longevity.
Analysis of energy costs and parameter effects on proposed mechanisms through experiments.

Conclusions:

The proposed methods offer effective solutions for energy conservation in sensor networks during path coverage.
The techniques are adaptable to non-linear paths and contribute to extending sensor network lifetimes.
Experimental validation confirms the performance and efficiency of the developed mechanisms.