Application of Control Theory Markov Systems to Minimize the Number of Transmissions in a Multi-hop Network

J. M. Palma, L. Carvalho, A. P. Gonçalves, C. E. Galarza, A. M. de Oliveira
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引用次数: 8

Abstract

The classical Robust Control Theory applied to network environments does not consider usual network effects like packet losses in the communication between sensors and actuators. In order to design optimal controllers that consider such conditions, one must rely on the class of models dubbed Markovian Jump Linear System (MJLS). In this paper, we study the H-infinity norm degradation in the presence of a limitation on the allowed number of retransmissions in a multi-hop semi-reliable network. Specifically on this study, we implemented the Hop by Hop transport model and also limited the maximum number of retransmissions per packet. For a particular case, it was possible to design a filter with a global number of transmitted packets of only 17.93% of the packets that would be necessary in full reliable communication, yet guaranteeing the estimated error stability.
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控制理论马尔可夫系统在多跳网络传输数最小化中的应用
应用于网络环境的经典鲁棒控制理论没有考虑通常的网络效应,如传感器和执行器之间通信中的数据包丢失。为了设计考虑这些条件的最优控制器,必须依赖于一类称为马尔可夫跳变线性系统(MJLS)的模型。本文研究了多跳半可靠网络中存在重传次数限制时的h -∞范数退化问题。具体而言,在本研究中,我们实现了逐跳传输模型,并限制了每个数据包的最大重传次数。对于特定情况,可以设计一个过滤器,其传输的数据包数量仅为完全可靠通信所需数据包的17.93%,同时保证估计的误差稳定性。
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