Abstract
With the rapid development of wireless communication technology, the newest development of wireless sensor and actuator networks (WSANs) provides significant potential applications for various real‐time scenarios. Currently, extensive research activities have been carried out in the field of efficient resource management and control design. However, the stability of the controlled plant and the efficiency of network resources are rarely considered collaboratively in existing works. In this paper, in order to enhance the control stability and improve the power consumption efficiency for the WSAN, a novel three‐step optimization algorithm jointly designing the control strategy and transmission path routing is proposed when the time delay is considered. First, the minimum hop routing algorithm is used to obtain the set of candidate transmission paths. Then, the optimal control signals for each candidate transmission path can be iteratively derived with a backward recursion method. Finally, the best transmission path is determined under the optimal control strategy to achieve the joint optimization design. The effectiveness of the proposed joint optimization algorithm is verified by the simulations of the application in the power grid system.
Highlights
Wireless communication technology plays a vital role in various communication networks to promote the progress of modern science and technology [1,2,3]
With the characteristic of spatially distributed nodes, Wireless sensor and actuator networks (WSANs) has the capability of information perception, transmission, analysis, and processing to meet the demands for both high reliability and low latency
The joint optimization design is realized through the best transmission path selection under the determined optimal control strategy (iii) In particular, the minimum hop routing algorithm is obtained based on the strong correlation between the utility function of the WSAN and the networkinduced time delay, which is totally determined by the number of hops in the transmission path
Summary
Wireless communication technology plays a vital role in various communication networks to promote the progress of modern science and technology [1,2,3]. In [28], an optimization method of controller and communication systems is proposed to minimize the power consumption for wireless networked control systems considering the imperfections of time delay and packet error. A novel joint optimization algorithm is proposed, which meets the requirements of the real-time control and power consumption reduction. (i) In discrete-time domain, based on the control dynamics modeling and power consumption analysis, the optimization problem jointly considering the control stability and power consumption efficiency is formulated in the presence of the time delay (ii) A novel three-step joint optimization algorithm is proposed. The joint optimization design is realized through the best transmission path selection under the determined optimal control strategy (iii) In particular, the minimum hop routing algorithm is obtained based on the strong correlation between the utility function of the WSAN and the networkinduced time delay, which is totally determined by the number of hops in the transmission path.
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