A Hybrid Reliable Routing Algorithm Based on LQI and PRR in Industrial Wireless Networks

In Industrial Wireless Networks (IWNs), the communication through Machine-to-Machine (M2M) is often affected by the noise in the industrial environment, which leads to the decline of communication reliability. In this paper, we investigate how to improve route stability through M2M in an industrial environment. We first compare different link quality estimations, such as Signal-Noise Ratio (SNR), Received Signal Strength Indicator (RSSI), Link Quality Indicator (LQI), Packet Reception Ratio (PRR), and Expected Transmission Count (ETX). We then propose a link quality estimation combining LQI and PRR. Finally, we propose a Hybrid Link Quality Estimation-Based Reliable Routing (HLQEBRR) algorithm for IWNs, with the object of maximizing link stability. In addition, HLQEBRR provides a recovery mechanism to detect node failure, which improves the speed and accuracy of node recovery. OMNeT++-based simulation results demonstrate that our HLQEBRR algorithm significantly outperforms the Collection Tree Protocol (CTP) algorithm in terms of end-to-end transmission delay and packet loss ratio, and the HLQEBRR algorithm achieves higher reliability at a small additional cost.

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Radio Link Quality Estimation in Low-Power Wireless Networks

10.1007/978-3-319-00774-8 ◽

2013 ◽

Cited By ~ 10

Author(s):

Nouha Baccour ◽

Anis Koubâa ◽

Claro Noda ◽

Hossein Fotouhi ◽

Mário Alves ◽

...

Keyword(s):

Wireless Networks ◽

Low Power ◽

Link Quality ◽

Radio Link ◽

Quality Estimation ◽

Low Power Wireless Networks ◽

Link Quality Estimation

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Reliable link quality estimation in low-power wireless networks and its impact on tree-routing

Ad Hoc Networks ◽

10.1016/j.adhoc.2014.11.011 ◽

2015 ◽

Vol 27 ◽

pp. 1-25 ◽

Cited By ~ 36

Author(s):

Nouha Baccour ◽

Anis Koubâa ◽

Habib Youssef ◽

Mário Alves

Keyword(s):

Wireless Networks ◽

Low Power ◽

Link Quality ◽

Quality Estimation ◽

Tree Routing ◽

Low Power Wireless Networks ◽

Link Quality Estimation

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A Novel Routing Algorithm with Bernoulli Sampling-based Link Quality Estimation in Wireless Sensor Networks

10.21203/rs.3.rs-207678/v1 ◽

2021 ◽

Author(s):

Chao Meng

Keyword(s):

Data Transmission ◽

High Performance ◽

Routing Algorithm ◽

Wireless Transmission ◽

Link Quality ◽

Accurate Estimation ◽

Quality Estimation ◽

Calculation Results ◽

Novel Method ◽

Link Quality Estimation

Abstract Link quality is important and can greatly affect the performance of wireless transmission algorithms and protocols. Currently, researchers have proposed a variety of approaches to implement link quality estimation. However, the estimated result of link quality is not accurate enough and the error is large, so they may lead to the failure of routing algorithm and protocol. In this paper, a novel method is proposed to achieve the more accurate estimation of link quality than before. This method employs Bernoulli sampling-based algorithm to complete the estimation of link quality. The problem is modeled as calculation of estimators based on Bernoulli sampling data. The authors further prove that the calculation results are accurate by probability theory. Furthermore, according to link quality estimation, the authors also provide a centralized routing algorithm and a distributed improvement algorithm in order to switch the data transmission on the better quality link. Finally, the extensive experiment results indicate that the proposed methods obtain high performance in terms of energy consumption and accuracy.

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