Abstract
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.
Highlights
In Industrial Wireless Network (IWN) communication, wireless network has been popularized as a flexible substitute for wired network and has gradually become a research hot spot on the field of industrial networks [1]
The comparison benchmark algorithm used in performance evaluation is the Collection Tree Protocol (CTP), and the results are analyzed
In order to improve the reliability of data communication in IWNs, this paper proposes a hybrid reliable routing algorithm based on link quality estimation and proposes a link quality estimation based on hardware link quality estimation and software link quality estimation
Summary
In Industrial Wireless Network (IWN) communication, wireless network has been popularized as a flexible substitute for wired network and has gradually become a research hot spot on the field of industrial networks [1]. The feature of software-based link quality estimation is that the link quality is not directly estimated by hardware reading but by calculation This method may require a large number of probe packages, and the time to send and receive the probe package is relatively long, which increases the time cost and energy consumption. (1) We analyze the link quality estimation from both hardware and software and adopt a link quality estimation that is more suitable for IWNs, so as to improve the reliability of link communication (2) We propose a hybrid reliable routing algorithm based on link quality estimation to guarantee the reliability in IWNs (3) We propose a necessary collection mechanism to collect information in the network and a coping strategy when the nodes run out of energy or fail due to other accidents.
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