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

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Energy Consumption Minimization in Unmanned Aerial Vehicle-Enabled Secure Wireless Sensor Networks.

Xufei Ding¹, Wen Tian¹, Guangjie Liu¹

¹School of Electronics and Information Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China.

Sensors (Basel, Switzerland)

|December 9, 2023

Summary

This summary is machine-generated.

This study introduces an energy-efficient method for data collection in secure wireless sensor networks (WSNs) using unmanned aerial vehicles (UAVs). The proposed algorithm minimizes energy consumption while ensuring data security against eavesdroppers.

Keywords:

data collection energy minimization trajectory optimization unmanned aerial vehicle (UAV)wireless sensor network (WSN)

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Area of Science:

Computer Science
Electrical Engineering
Network Security

Background:

Wireless Sensor Networks (WSNs) are crucial for data collection, with Unmanned Aerial Vehicles (UAVs) emerging as efficient mobile data collectors.
Ensuring data security in UAV-enabled WSNs against eavesdropping is a significant challenge, especially without complete channel information.

Purpose of the Study:

To address the energy-efficient data collection problem in a UAV-enabled secure WSN.
To develop an algorithm that minimizes maximum energy consumption of Ground Sensor Nodes (GSNs) while maintaining security and connectivity.

Main Methods:

An iterative optimization algorithm based on the Block Coordinate Descent (BCD) method was employed.
The algorithm optimizes UAV trajectory and sensor scheduling under constraints of secrecy outage probability (SOP), connection outage probability (COP), secure data rates, and information causality.

Main Results:

The proposed BCD-based algorithm effectively minimizes the maximum energy consumption of GSNs.
Demonstrated superior performance in terms of energy efficiency and secrecy rate compared to existing schemes.

Conclusions:

The developed iterative optimization algorithm provides an effective solution for energy-efficient and secure data collection in UAV-enabled WSNs.
The approach successfully balances energy consumption, data security, and network performance under challenging conditions.