QOS-QOE Energy Saving Optimization Model for Wireless Sensor Networks

作者：义斌 侯 · 发表于：Journal of Sensor Technology and Application · 年份：2018 · DOI：10.12677/jsta.2018.62006 · 被引用次数：3 · 研究领域：Radio Wave Propagation Studies、Astrophysics and Cosmic Phenomena

研究无线传感器网络QOS-QOE节能优化模型的目的是界定和研究WSN网络QOS-QOE节能优化建模问题。研究内容主要是无线传感器网络QOS-QOE，第一，研究WSN网络以及其下面各种算法主要是解决TSP问题，然后研究QOE模型，建立模型参数可以包括QOS因素也可以包括非QOS因素，最后研究QOS-QOE模型，参数只包括QOS因素。研究方法主要是找到关键问题无线传感器网络QOS-QOE节能优化建模研究，通常目标函数是关键问题，主要采用蚁群算法，遗传算法，人工神经网络下SVM + PCA和LS-SVM和LIBSVM等方法。互联网的四大关键技术应用非常广泛，这四种技术主要是RFID，WSN，M2M两种融合。RFID可以使用matlab，NS2，JAVA实现，WSN可以使用NS2，OMNET++实现，M2M可以使用JAVA开发。研究结论是物联网来源和发展于互联网；反之，物联网的发展又进一步推动互联网向一种更为广泛的“互联”演进。物联网和互联网是父与子的关系，无线网络和无线WSN网络一样，只不过无线节点固定和移动的变为了传感器而已。无线传感器网络QOS-QOE节能优化模型比其他QOE模型更节能，更精确，更优化。物联网包括互联网技术，WSN网络，RFID可以是WSN网络的一部分，RFID的翅膀是WSN网络。航天科技行业也应用到了物联网。 The purpose of research on QOS-QOE energy saving optimization model of wireless sensor network is to define and study the optimization modeling of QOS-QOE energy conservation in WSN network. The main content is the research object of QOS-QOE wireless sensor network. Firstly it studies the WSN network and its following kinds of algorithm, mainly to solve the TSP problem, and then studies the QOE model, the parameters of which can include QOS factors and non QOS factors, finally studies the QOS-QOE model parameters including QOS factors. The research method is mainly to find the key problem of QOS-QOE energy saving and optimization modeling of wireless sensor network. Usually the objective function is the key problem, mainly using ant colony algorithm, genetic algorithm, SVM + PCA and LS-SVM and LIBSVM under artificial neural network. The four key technologies of the Internet are widely used, and these four technolog...