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Building Robust Wireless LAN for Industrial Control with DSSS-CDMA Cellphone Network Paradigm (2005)
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| Venue: | Computer Engineering and Computer Science Department at the University of Cincinnati. His |
| Citations: | 9 - 6 self |
BibTeX
@INPROCEEDINGS{Wang05buildingrobust,
author = {Qixin Wang and Weiqun Chen and Wenbo He and Marco Caccamo},
title = {Building Robust Wireless LAN for Industrial Control with DSSS-CDMA Cellphone Network Paradigm},
booktitle = {Computer Engineering and Computer Science Department at the University of Cincinnati. His},
year = {2005},
pages = {3--14},
publisher = {Technology}
}
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Abstract
Deploying Wireless LAN for Industrial Control (IC-WLAN) has many benefits, such as mobility, low deployment cost and ease of reconfiguration. However, the top concern is robustness of wireless communications. Wireless control loops must be maintained under persistent adverse channel conditions, such as noise, large-scale path loss and fading. Many electro-magnetic interference sources in industrial environments, e.g. electric motor and welding, make wireless communication more challenging. The conventional IEEE 802.11 WLANs, which are designed for providing high bandwidth instead of high robustness, are therefore inappropriate for IC-WLAN. On the other hand, if the low data rate feature of industrial control is fully exploited by the state-of-the-art Direct Sequence Spread Spectrum (DSSS) technology, much higher robustness can be achieved. We hereby propose using DSSS-CDMA to build IC-WLAN, and exploiting the low data rate feature of industrial control loops for enhanced robustness. We carried out fine-grained physical layer simulations and Monte Carlo comparisons. The results show that DSSS-CDMA IC-WLAN provides much higher robustness than IEEE 802.11 WLAN, so that reliable wireless industrial control loops are made feasible. The DSSS-CDMA IC-WLAN scheme also opens up a new problem space for interdisciplinary study, involving real-time scheduling and resource management, communication, networking and control. In this paper, we study the resource management problems on maximizing robustness and minimizing control utility loss. Analytical resource optimization solutions are given. 1.
Keyphrases
industrial control robust wireless lan dsss-cdma cellphone network paradigm wireless communication low data rate feature high robustness new problem space wireless control top concern reliable wireless industrial control loop many benefit dsss-cdma ic-wlan fine-grained physical layer simulation wireless lan large-scale path loss low deployment cost resource management problem many electro-magnetic interference source monte carlo comparison analytical resource optimization solution resource management real-time scheduling industrial environment electric motor persistent adverse channel condition enhanced robustness state-of-the-art direct sequence spread spectrum dsss-cdma ic-wlan scheme conventional ieee control utility loss interdisciplinary study
