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A reliable cooperative and distributed management for wireless industrial monitoring and control
Author(s) -
Manfredi S.
Publication year - 2009
Publication title -
international journal of robust and nonlinear control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.361
H-Index - 106
eISSN - 1099-1239
pISSN - 1049-8923
DOI - 10.1002/rnc.1453
Subject(s) - computer science , wireless sensor network , network packet , computer network , network congestion , real time computing , wireless , wireless network , reliability (semiconductor) , network performance , distributed computing , telecommunications , power (physics) , physics , quantum mechanics
This paper is concerned with the analysis, design and validation of a reliable management strategy for industrial monitoring and control over wireless sensor network (WSN). First, we investigate the interactions between contention resolution and congestion control mechanisms in Wireless Industrial Sensor Network (briefly WISN). An extensive set of simulations are performed in order to quantify the impacts of several network parameters (i.e. buffer, sensors reporting rate) on the overall network performance (i.e. reliability, packet losses). This calls for cross‐layer mechanisms for efficient data delivery over WISN. Second, a reliable sink resource allocation strategy based on log‐utility fairness criteria is proposed. It is shown that the resource sink manager can plan strategies to better allocate the available resource among competing sensors. Finally, the analysis, design and validation of a reliable sinks cooperative control for WISN are introduced. A sufficient condition for wireless network stability in presence of multiple sinks and heterogeneous sensors with different time delays is given and it is used for network parameters design. The stability condition and the resulting cooperative control performance in terms of fairness, link utilization, packet losses, reliability and latency are validated by Matlab/Simulink‐based simulator TrueTime, which facilitates co‐simulation of controller task execution in real‐time kernels and in the wireless network environment. Copyright © 2009 John Wiley & Sons, Ltd.