A Dynamic Rate Selection Algorithm for IEEE 802.11 Industrial Wireless LAN

The multirate support feature has been introduced by the IEEE 802.11 standard to improve the system performance, and has been widely exploited by means of rate adaptation (RA) strategies within general purpose wireless LANs. These strategies revealed ineffective for real-time industrial communications, and alternative solutions, better tailored for such a specific field of application, were investigated. The preliminary outcomes of the analyses carried out were promising, even if they clearly indicated that further efforts were necessary. In this direction, this paper first proposes rate selection for industrial networks (RSIN), an innovative RA algorithm specifically conceived for the real-time industrial scenario with the goal of minimizing the transmission error probability, while taking into account the deadline imposed to packet delivery. Then, it describes the practical implementation of RSIN on commercial devices, along with that of other formerly introduced RA techniques. Finally, the paper presents a thorough performance analysis, carried out to investigate the behavior of the addressed RA schemes. Such an assessment was performed via both experimental campaigns and simulations. The obtained results, on one hand, confirm the effectiveness of the RA techniques purposely designed for real-time industrial communication. On the other hand, they clearly indicate that RSIN outperforms all the other strategies.

[1]  Paulo Pedreiras,et al.  Online QoS Management for Multimedia Real-Time Transmission in Industrial Networks , 2011, IEEE Transactions on Industrial Electronics.

[2]  V. Erceg,et al.  TGn Channel Models , 2004 .

[3]  Özgür Gürbüz,et al.  Wireless Model-Based Predictive Networked Control System Over Cooperative Wireless Network , 2011, IEEE Transactions on Industrial Informatics.

[4]  Leo Monteban,et al.  WaveLAN®-II: A high-performance wireless LAN for the unlicensed band , 1997, Bell Labs Technical Journal.

[5]  Steven X. Ding,et al.  An Integrated Design Framework of Fault-Tolerant Wireless Networked Control Systems for Industrial Automatic Control Applications , 2013, IEEE Transactions on Industrial Informatics.

[6]  Thierry Turletti,et al.  IEEE 802.11 rate adaptation: a practical approach , 2004, MSWiM '04.

[7]  Song Han,et al.  RT-WiFi: Real-Time High-Speed Communication Protocol for Wireless Cyber-Physical Control Applications , 2013, 2013 IEEE 34th Real-Time Systems Symposium.

[8]  Andrea Zanella,et al.  On the Use of IEEE 802.11n for Industrial Communications , 2016, IEEE Transactions on Industrial Informatics.

[9]  Wei Shen,et al.  PriorityMAC: A Priority-Enhanced MAC Protocol for Critical Traffic in Industrial Wireless Sensor and Actuator Networks , 2014, IEEE Transactions on Industrial Informatics.

[10]  Thilo Sauter,et al.  The Three Generations of Field-Level Networks—Evolution and Compatibility Issues , 2010, IEEE Transactions on Industrial Electronics.

[11]  Nada Golmie,et al.  Throughput study for admission control in IEEE 802.11 DCF with ARF , 2009, IEEE Communications Letters.

[12]  Matteo Bertocco,et al.  On the Rate Adaptation Techniques of IEEE 802.11 Networks for Industrial Applications , 2013, IEEE Transactions on Industrial Informatics.

[13]  Lena Schwartz Next Generation Wireless Lans 802 11n And 802 11ac , 2016 .

[14]  Gerhard P. Hancke,et al.  Industrial Wireless Sensor Networks: Challenges, Design Principles, and Technical Approaches , 2009, IEEE Transactions on Industrial Electronics.

[15]  Michele Luvisotto,et al.  Improved Rate Adaptation strategies for real-time industrial IEEE 802.11n WLANs , 2015, 2015 IEEE 20th Conference on Emerging Technologies & Factory Automation (ETFA).

[16]  Qiang Fu,et al.  Evaluation of the Minstrel rate adaptation algorithm in IEEE 802.11g WLANs , 2013, 2013 IEEE International Conference on Communications (ICC).

[17]  Paramvir Bahl,et al.  A rate-adaptive MAC protocol for multi-Hop wireless networks , 2001, MobiCom '01.