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A Lightweight Collaborative Fault Tolerant Target Localization System for Wireless Sensor Networks

机译:用于无线传感器网络的轻型协作容错目标定位系统

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Efficient target localization in wireless sensor networks is a complex and challenging task. Many past assumptions for target localization are not valid for wireless sensor networks. Limited hardware resources, energy conservation, and noise disruption due to wireless channel contention and instrumentation noise pose new constraints on designers nowadays. In this work, a lightweight acoustic target localization system for wireless sensor networks based on time difference of arrival (TDOA) is presented. When an event is detected, each sensor belonging to a group calculates an estimate of the target's location. A FuzzyART data fusion center detects errors and fuses estimates according to a decision tree based on spatial correlation and consensus vote. Moreover, a MAC protocol for wireless sensor networks (EB-MAC) is developed which is tailored for event-based systems that characterizes acoustic target localization systems. The system was implemented on MicaZ motes with TinyOS and a PIC 18F8720 microcontroller board as a coprocessor. Errors were detected and eliminated hence acquiring a fault tolerant operation. Furthermore, EB-MAC provided a reliable communication platform where high channel contention was lowered while maintaining high throughput.
机译:无线传感器网络中的有效目标定位是一项复杂而具有挑战性的任务。过去关于目标定位的许多假设对于无线传感器网络都是无效的。如今,由于无线信道争用和仪器噪声而导致的有限硬件资源,节能和噪声干扰给设计人员带来了新的限制。在这项工作中,提出了一种基于到达时间差(TDOA)的用于无线传感器网络的轻型声学目标定位系统。当检测到事件时,属于一个组的每个传感器都会计算目标位置的估计值。 FuzzyART数据融合中心检测错误并根据基于空间相关性和共识投票的决策树融合估计。此外,开发了用于无线传感器网络的MAC协议(EB-MAC),该协议专门针对表征声音目标定位系统的基于事件的系统而设计。该系统在TinyOS和PIC 18F8720微控制器板作为协处理器的MicaZ节点上实现。检测到错误并消除错误,从而获得了容错操作。此外,EB-MAC提供了一个可靠的通信平台,该平台在保持高吞吐量的同时降低了高通道争用。

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