Construction of Control Nodes in Wireless Sensor Network Based on Improved Model Predictive Control Algorithm

DOI

10.2991/icemc-16.2016.100How to use a DOI?

Keywords

Model predictive control algorithm; Wireless sensor network; Sensor node; Control Nodes; Topology

Abstract

Model predictive control algorithm is of three characteristics: predictive model, receding horizon optimization, feedback correction. The sensor node consists of processing module, communication module, sensor module and power supply module. This paper analyzes and improves model predictive control algorithm. Development process control is the development and control theory, instrumentation, computer communication and network. The paper proposes construction of control nodes in wireless sensor network based on improved model predictive control algorithm. Finally, the effectiveness of the proposed method is proved by experiments.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Qing Tan
PY  - 2016/05
DA  - 2016/05
TI  - Construction of Control Nodes in Wireless Sensor Network Based on Improved Model Predictive Control Algorithm
BT  - Proceedings of the 2016 International Conference on Education, Management and Computer Science
PB  - Atlantis Press
SP  - 487
EP  - 491
SN  - 1951-6851
UR  - https://doi.org/10.2991/icemc-16.2016.100
DO  - 10.2991/icemc-16.2016.100
ID  - Tan2016/05
ER  -