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$Interference and Diffraction$ 02:18

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Updated: Jan 19, 2026

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

Interference-Aware Routing for Difficult Wireless Sensor Network Environment with SWIPT.

Shiming He^1,2, Yangning Tang³, Zhuozhou Li⁴

¹School of Computer and Communication Engineering, Hunan Provincial Key Laboratory of Intelligent Processing of Big Data on Transportation, Changsha University of Science and Technology, Changsha 410114, China. smhe_cs@csust.edu.cn.

Sensors (Basel, Switzerland)

|September 22, 2019

Summary

This summary is machine-generated.

This study addresses energy limitations in wireless sensor networks by analyzing interference effects on simultaneous wireless information and power transfer (SWIPT). An interference-aware routing algorithm is proposed to optimize performance in multi-flow networks.

Keywords:

harsh environment interference route simultaneous wireless information and power transfer wireless sensor network

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Area of Science:

Wireless Sensor Networks
Wireless Communication
Signal Processing

Background:

Sensor nodes in harsh environments face energy limitations and charging difficulties.
Simultaneous Wireless Information and Power Transfer (SWIPT) offers a non-invasive solution for energy replenishment.
Interference significantly impacts SWIPT performance in multi-hop, multi-flow wireless sensor networks.

Purpose of the Study:

To analyze the influence of interference on SWIPT.
To develop an interference-aware routing strategy for SWIPT-enabled wireless sensor networks.
To maximize link capacity by considering both information and energy transfer under interference.

Main Methods:

Analysis of interference impact on SWIPT.
Design of an interference-based information and energy allocation model.
Formulation of the SWIPT routing problem with an interference-aware route metric.
Development of an interference-aware SWIPT routing algorithm.

Main Results:

The proposed model effectively maximizes link capacity with SWIPT under interference.
The interference-aware routing algorithm demonstrates performance gains.
Increased number of flows enhances the benefits derived from interference and SWIPT.

Conclusions:

Interference is a critical factor in SWIPT-based wireless sensor networks.
An interference-aware approach is essential for optimizing SWIPT routing and performance.
The developed algorithm provides a viable solution for energy-efficient and high-capacity wireless sensing in challenging environments.