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首页> 外文期刊>International Journal on Communications Antenna and Propagation >A Comparative Study of Energy Consumption Required for Localization in Wireless Sensor Networks
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A Comparative Study of Energy Consumption Required for Localization in Wireless Sensor Networks

机译：无线传感器网络中本地化所需能耗的比较研究

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Localization is a key stage in building a routing matrix between nodes in wireless sensor networks. It is essential for guaranteeing the proper exchange of sensor node measurements and the conclusions made at the network level. This paper reviews various range-based localization techniques used in wireless sensor networks. It presents a mathematical model for determining sensor locations based on Received Signal Strength Indicator measurements and studies the energy consumption of the proposed localization technique. The localization technique under consideration uses Trilateration in order to find initial estimates of the coordinates of the sensor nodes. It then applies Recursive Least Square Estimation in order to refine the estimates and account for the noise accompanying the RSS1 measurements. Both decentralized and centralized implementations are compared in terms of mathematical complexity, processing energy requirements, communication energy consumption, and scalability. Simulations based on the Mica2Dot platform show that besides being scalable, the decentralized localization approach becomes more energy efficient than the centralized one in terms of communication and processing power consumption as the sensors' distribution density increases.
机译：本地化是在无线传感器网络中的节点之间建立路由矩阵的关键阶段。这对于确保正确交换传感器节点测量值和在网络级别得出的结论至关重要。本文回顾了无线传感器网络中使用的各种基于范围的定位技术。它提供了一个基于接收信号强度指示器测量值确定传感器位置的数学模型，并研究了所提出的定位技术的能耗。正在考虑的定位技术使用Trilateration，以便找到传感器节点坐标的初始估计。然后，它应用递归最小二乘估计，以完善估计并考虑RSS1测量所伴随的噪声。在数学复杂度，处理能量需求，通信能量消耗和可伸缩性方面，比较了分散式和集中式两种实施方式。基于Mica2Dot平台的仿真表明，随着传感器分布密度的增加，在通信和处理功耗方面，分散式本地化方法比集中式方法更具能源效率。

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