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Combination of a Successive Surface Experiment Design and a Hierarchical Routing Protocol to the Optimization of the System Energy in Wireless Sensor Networks

机译:连续表面实验设计与分层路由协议的组合,用于优化无线传感器网络中的系统能量

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In wireless sensor networks, the system energy is mainly dissipated according to several tasks carried out by nodes when sensing, treating and communicating information. The latest action is more energy consuming due to many variables such as the number of nodes, the diameter of the network, the location of the base station, the initial system energy, etc. Thus, searching compromise zones of the system energy where variable modalities are optimal is inescapable. In this work, we have attempted an approach based on successive experiment designs. Indeed, this issue has led to a deep investigation of the overall domain explored by the variables, studying perfectly different irregularities that might exist within the study domain and obtaining a good second degree polynomial equation (Taylor approach) with high statistical characteristics that describe greatly energy phenomena. In addition, the hybridization of the present approach with hierarchical routing protocols in WSNs like LEACH algorithm has conducted on one hand, to study and evaluate the routing mechanism and then exhibit its potentialities. On the other hand, the resulted polynomial equation can be a good alternative to the hierarchical routing protocols.
机译:在无线传感器网络中,系统能量主要根据节点在感测,处理和传递信息时执行的多项任务来耗散。由于许多变量(例如节点数,网络的直径,基站的位置,初始系统能量等),最新的操作会消耗更多的能量。因此,在可变模态下搜索系统能量的折衷区域最佳是不可避免的。在这项工作中,我们尝试了一种基于连续实验设计的方法。确实,这个问题导致对变量探索的整个域进行了深入研究,研究了可能存在于研究域中的完全不同的不规则性,并获得了具有良好统计特性的良好二阶多项式方程式(泰勒方法),极大地描述了能量现象。另外,一方面进行了本方法与诸如LEACH算法的WSN中的分层路由协议的混合,以研究和评估路由机制,然后展现其潜力。另一方面,所得的多项式方程可以很好地替代分层路由协议。

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