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自适应传输功率控制器的通信范围动态特性与性能分析

Communication Range Dynamics and Performance Analysis for a Self-Adaptive Transmission Power Controller.

作者信息

Lucas Martínez Néstor, Martínez Ortega José-Fernán, Hernández Díaz Vicente, Del Toro Matamoros Raúl M

机构信息

Centro de Investigación en Tecnologías Software y Sistemas Multimedia para la Sostenibilidad (CITSEM), Universidad Politécnica de Madrid, Calle Alan Turing 3, 28031 Madrid, Spain.

Centro de Automática y Robótica, Universidad Politécnica de Madrid, Carretera Campo Real Km. 0.2, 28500 Arganda del Rey, Spain.

出版信息

Sensors (Basel). 2016 May 12;16(5):684. doi: 10.3390/s16050684.

DOI:10.3390/s16050684
PMID:27187397
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4883375/
Abstract

The deployment of the nodes in a Wireless Sensor and Actuator Network (WSAN) is typically restricted by the sensing and acting coverage. This implies that the locations of the nodes may be, and usually are, not optimal from the point of view of the radio communication. Additionally, when the transmission power is tuned for those locations, there are other unpredictable factors that can cause connectivity failures, like interferences, signal fading due to passing objects and, of course, radio irregularities. A control-based self-adaptive system is a typical solution to improve the energy consumption while keeping good connectivity. In this paper, we explore how the communication range for each node evolves along the iterations of an energy saving self-adaptive transmission power controller when using different parameter sets in an outdoor scenario, providing a WSAN that automatically adapts to surrounding changes keeping good connectivity. The results obtained in this paper show how the parameters with the best performance keep a k-connected network, where k is in the range of the desired node degree plus or minus a specified tolerance value.

摘要

无线传感器与执行器网络（WSAN）中节点的部署通常受到传感和作用覆盖范围的限制。这意味着从无线通信的角度来看，节点的位置可能并非最佳，而且通常也确实不是最佳的。此外，当针对这些位置调整发射功率时，还存在其他不可预测的因素可能导致连接失败，例如干扰、由于物体经过导致的信号衰落，当然还有无线电不规则性。基于控制的自适应系统是在保持良好连接性的同时提高能耗的典型解决方案。在本文中，我们探讨了在室外场景中使用不同参数集时，节能自适应发射功率控制器的每次迭代过程中每个节点的通信范围是如何演变的，提供了一个能自动适应周围变化并保持良好连接性的WSAN。本文获得的结果表明，具有最佳性能的参数如何保持一个k连通网络，其中k在期望节点度加减指定公差值的范围内。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/88ed/4883375/642e69e3bc80/sensors-16-00684-g016.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/88ed/4883375/030086a1edc9/sensors-16-00684-g011.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/88ed/4883375/642e69e3bc80/sensors-16-00684-g016.jpg

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2
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Sensors (Basel). 2015 Sep 25;15(10):24735-70. doi: 10.3390/s151024735.
3
Self-Adaptive Strategy Based on Fuzzy Control Systems for Improving Performance in Wireless Sensors Networks.基于模糊控制系统的自适应策略以提高无线传感器网络性能
Sensors (Basel). 2015 Sep 18;15(9):24125-42. doi: 10.3390/s150924125.
4
A novel topology control approach to maintain the node degree in dynamic wireless sensor networks.一种用于在动态无线传感器网络中维持节点度数的新型拓扑控制方法。
Sensors (Basel). 2014 Mar 7;14(3):4672-88. doi: 10.3390/s140304672.