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Related Experiment Video

Updated: Jun 22, 2026

Effective Analysis of Human Exposure Conditions with Body-worn Dosimeters in the 2.4 GHz Band

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Secrecy Outage Performance Analysis of Wirelessly Powered IoT System with Randomly Moving Receiving Nodes.

Vesna Blagojević¹, Nadica Kozić², Aleksandra Cvetković³

¹School of Electrical Engineering, University of Belgrade, 11000 Belgrade, Serbia.

Sensors (Basel, Switzerland)

|March 17, 2025

Summary

This summary is machine-generated.

This study addresses physical layer security for mobile Internet of Things (IoT) networks powered wirelessly. It provides analytical expressions for security performance in Nakagami-m fading environments, crucial for reliable IoT communication.

Keywords:

Nakagami-m fading mobility model outage probability physical layer security power beacon random waypoint mobility secrecy capacity secrecy outage probability wireless power transfer

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Area of Science:

Electrical Engineering
Computer Science
Information Theory

Background:

Internet of Things (IoT) networks require scalable infrastructure and robust security, challenging for low-power nodes.
Wireless Power Transfer (WPT) offers a viable solution for powering remote or inaccessible IoT devices.
Node mobility in IoT systems complicates security and power management strategies.

Purpose of the Study:

To investigate physical layer security for wirelessly powered IoT systems with mobile legitimate users and eavesdroppers.
To derive analytical expressions for secrecy outage probability in Nakagami-m fading channels.
To analyze the impact of node mobility on system security performance.

Main Methods:

Derivation of closed-form approximate secrecy outage probability expressions.
Modeling of wireless power transfer using a power beacon.
Simulation of mobile IoT nodes using a random waypoint model in 1D, 2D, and 3D environments.

Main Results:

Novel analytical expressions for secrecy outage probability were developed for mobile IoT systems.
The derived expressions accurately predict system security performance under Nakagami-m fading.
The study quantifies the impact of different mobility dimensions on physical layer security.

Conclusions:

Physical layer security is a critical consideration for the design of secure and efficient IoT systems.
The derived analytical models provide valuable tools for optimizing the performance of wirelessly powered mobile IoT networks.
The findings support the deployment of secure IoT solutions in diverse and dynamic environments.