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Updated: May 24, 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

A radio-aware routing algorithm for reliable directed diffusion in lossy wireless sensor networks.

Yong-Pyo Kim¹, Euihyun Jung, Yong-Jin Park

¹Department of Electronics and Computer Engineering, Hanyang University/Haengdang-dong, Sungdong-gu, Seoul, 133-791, Korea; E-Mails: ypkim@hyuee.hanyang.ac.kr (Y.-P.K.); park@hyuee.hanyang.ac.kr (Y.-J.P.).

Sensors (Basel, Switzerland)

|March 13, 2012

Summary

This study introduces a radio-aware routing algorithm to enhance Directed Diffusion in wireless sensor networks (WSNs). The new method improves data transmission reliability by using cross-layer design to adapt to network errors.

Keywords:

WSNs cross-layer directed diffusion lossy WSNs radio-aware reliability routing algorithm

Related Experiment Videos

Last Updated: May 24, 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

Area of Science:

Wireless Sensor Networks (WSNs)
Network Routing Protocols
Cross-Layer Design

Background:

Wireless Sensor Networks (WSNs) face frequent transmission errors from node failures, battery issues, and interference.
Directed Diffusion, a data-centric routing algorithm, exhibits weaknesses in handling unexpected network errors, impacting reliability.
Lossy WSN environments necessitate robust routing solutions to ensure dependable data transmission.

Purpose of the Study:

To propose a novel radio-aware routing algorithm to enhance the reliability of Directed Diffusion in lossy WSNs.
To improve data transmission integrity by proactively addressing network errors and link quality variations.
To enable reliable Quality of Service (QoS) data delivery in challenging WSN environments.

Main Methods:

Implemented a cross-layer design integrating MAC and PHY layer information for network status awareness.
Utilized radio information, including link quality and transmission error rates, to dynamically assess network conditions.
Developed a radio-aware routing strategy to select alternative routes ensuring reliable data transmission.

Main Results:

The proposed radio-aware reliable routing algorithm demonstrated superior performance compared to standard methods.
Improved reliability was observed across both grid and random network topologies under various error rates.
The algorithm effectively identified and adapted to changing network conditions for consistent data delivery.

Conclusions:

The radio-aware routing algorithm significantly enhances the reliability of Directed Diffusion in lossy WSNs.
Cross-layer design provides crucial network insights for adaptive and dependable data routing.
The proposed solution offers a viable method for reliable QoS transmission in challenging WSNs.