A power aware MAC protocol for wireless closed loop control system in loader cranes

This paper will discuss a wireless control system for a loader crane, where the focus lies on the wireless communication protocol supporting the implementation of the real-time system. To aid the discussion, a system model is included, which together with the control strategy will allow low power consumption for the energy constraint sensor devices. A simple and power aware medium access control protocol is proposed. The protocol together with the specific loader crane requirements make it possible to save valuable sensor resources. Simulations on real world loader crane data show a simplified view of the power requirements for the control model, and the importance of utilizing correct system parameters to achieve low power consumption.

[1]  Lionel Sacks,et al.  Adaptive Sampling Mechanisms in Sensor Networks , 2003 .

[2]  Parameswaran Ramanathan,et al.  Overload Management in Real-Time Control Applications Using (m, k)-Firm Guarantee , 1999, IEEE Trans. Parallel Distributed Syst..

[3]  Anantha Chandrakasan,et al.  Energy-scalable algorithms and protocols for wireless microsensor networks , 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).

[4]  Alan Burns,et al.  Weakly Hard Real-Time Systems , 2001, IEEE Trans. Computers.

[5]  Israel Koren,et al.  System-level power-aware design techniques in real-time systems , 2003, Proc. IEEE.

[6]  Thomas Watteyne,et al.  Proposition of a hard real-time MAC protocol for wireless sensor networks , 2005, 13th IEEE International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems.

[7]  B. Oelmann,et al.  Joint Angular Sensor Based on Distributed Biaxial MEMS Accelerometers , 2007, IECON 2007 - 33rd Annual Conference of the IEEE Industrial Electronics Society.

[8]  Qin Wang,et al.  A Realistic Power Consumption Model for Wireless Sensor Network Devices , 2006, 2006 3rd Annual IEEE Communications Society on Sensor and Ad Hoc Communications and Networks.

[9]  Ioannis Stavrakakis,et al.  Study of various TDMA schemes for wireless networks in the presence of deadlines and overhead , 1999, IEEE J. Sel. Areas Commun..

[10]  David E. Culler,et al.  Versatile low power media access for wireless sensor networks , 2004, SenSys '04.

[11]  Mani Srivastava,et al.  Energy-aware wireless microsensor networks , 2002, IEEE Signal Process. Mag..

[12]  Anantha Chandrakasan,et al.  Low-power wireless sensor networks , 2001, VLSI Design 2001. Fourteenth International Conference on VLSI Design.

[13]  Paul J. M. Havinga,et al.  Energy-efficient wireless networking for multimedia applications , 2001, Wirel. Commun. Mob. Comput..

[14]  Joseph A. Paradiso,et al.  Energy scavenging for mobile and wireless electronics , 2005, IEEE Pervasive Computing.

[15]  Nathan Ickes,et al.  Physical layer driven protocol and algorithm design for energy-efficient wireless sensor networks , 2001, MobiCom '01.

[16]  Gregory J. Pottie,et al.  Instrumenting the world with wireless sensor networks , 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).

[17]  Magnus Jonsson,et al.  Dynamic time-deterministic traffic in a fiber-optic WDM star network , 1997, Proceedings Ninth Euromicro Workshop on Real Time Systems.

[18]  Deborah Estrin,et al.  An energy-efficient MAC protocol for wireless sensor networks , 2002, Proceedings.Twenty-First Annual Joint Conference of the IEEE Computer and Communications Societies.

[19]  M. Lakshmanan,et al.  AN ADAPTIVE ENERGY EFFICIENT MAC PROTOCOL FOR WIRELESS SENSOR NETWORKS , 2009 .