Paper Info
Title
Joint Optimization Of Control And Resource Management For Wireless Sensor And Actuator Networks
Abstract
Wireless sensor actuator network (WSAN) emerges as a potential technology with the capacities of self-organizing communication and feedback control. In this paper, we present a novel collaborative optimization algorithm of plant control and system cost toward WSANs taking time delay into account. First, the WSAN model is formulated as a linear system with multi-path network structure. In order to provide effective control and reduce the usage of system resource, the quadratic cost function is introduced as the collaborative optimization problem in discrete-time domain. Then, a two-phase design is proposed to derive the design of optimal control for each given path in terms of a backward recursion. In addition, the best transmission path selection is obtained depending on minimal system power consumption. Finally, numerical simulations are utilized to show the effectiveness of the proposed algorithm in both traditional control system and load frequency control in the power grid application.
Year
DOI
Venue
2020
10.1109/WCNC45663.2020.9120715
2020 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE (WCNC)
Keywords
DocType
ISSN
Collaborative optimization algorithm, plant control, resource management, time delays, wireless sensor and actuator networks
Conference
1525-3511
Citations 
PageRank 
References 
0
0.34
0
Authors
5
Name
Order
Citations
PageRank
Zhuwei Wang111.69
Yuehui Guo211.36
Yang Sun35313.05
Chao Fang49615.65
Wenjun Wu501.01