基于RSS的城郊低成本户外WSN停车系统

Mauricio Postigo-Málaga, Luis Porras Figueroa, J. Chilo
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引用次数: 4

摘要

在高峰时段,在大城市找到一个免费的停车位既耗时又会导致交通拥堵和空气污染。无线传感器网络(WSN)可以用于获取与停车状况相关的信息,并且只需要很少的安装和维护成本。在这项工作中,我们提出了一个基于无线传感器网络(WSNs)、接收信号强度(RSS)和模式识别算法的户外停车系统的设计和实现,以有效地找到空闲停车位。仿真和实验结果表明该停车系统性能良好。采用高性能、低功耗的XBee-PRO 900HP-S3B模块。这些模块支持IEEE-802.15.4协议,在900mhz频段内进行通信,可以根据不同的网络拓扑进行配置。测量接收到的信号强度(RSS),形成停车位可用性(繁忙或空闲)的指纹。卡尔曼滤波是为了改善受短时衰落影响而变化的RSS。在WEKA环境中使用不同的分类算法对停车位可用性进行评估,结果高达85%。
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Low Cost Outdoors WSN Parking System for Metropolitan Areas Based on RSS
Finding a free parking space in the metropolitan areas during rush hour is time consuming and it leads to traffic congestions and air pollution. Wireless Sensor Network (WSN) can be used to obtain information related to the parking condition requiring very little installation and maintenance costs. In this work, we present the design and implementation of an outdoor parking system based on Wireless Sensor Networks (WSNs), received signal strength (RSS) and pattern recognition algorithms to effectively find free parking spaces. Simulation and experiment results show good performance in the verification of the parking system. XBee-PRO 900HP-S3B modules with high performance and low power consumption were used. These modules support the IEEE-802.15.4 protocol for communication in the 900 MHz band and can be configured in different network topologies. The received signal strength (RSS) was measured to form fingerprints for the parking spaces availability (busy or vacant). Kalman filters were implemented to improve RSS which varies due to the effects of short-term fading. The parking spaces availability was evaluated with different classification algorithms in the WEKA environment with results up to 85%.
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