This paper presents an analysis of the received signal strength indicator (RSSI) from the radio frequency signals for human identification in an indoor wireless sensor network (WSN). Instead of using closed-circuit television as the existing security platform, this indoor safety system was improved with a convenient, cheap, and low-power solution. The system was developed using 20 of ESP8266-12F Wi-Fi modules transmitters and another 2 of ESP8266-12F as the access points located in 3 m × 3 m area of interest. With a suitable coordinate of sensor nodes, a WSN telemetry could be established to minimize the blind spot area and limit the movement of the intruder with a minimum area of 0.2 m2. The RSSI measurement was repeatedly conducted for three different conditions, in an empty room, with the presence of a single intruder and the presence of multiple intruders. Based on the RSSI values, we found that there are distinctive features of data that can be utilized as flags for classifying the three above conditions. Besides that, to justify the efficiency of system performance, we also examined the sensitivity of RSSI values towards the variation of temperature. Our results show that the RSSI average values for both morning and night were practically the same. However, during the afternoon, the RSSI signal strength fluctuated by − 1.0 dBm. These results motivate the development of an alarm system that only uses the RSSI statistics to detect human presence.

中文翻译：

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用于电势监测和定位的无线传感器网络的设计与开发

本文介绍了对来自射频信号的接收信号强度指标 (RSSI) 的分析，用于室内无线传感器网络 (WSN) 中的人体识别。这个室内安全系统不是使用闭路电视作为现有的安全平台，而是通过方便、廉价和低功耗的解决方案进行了改进。该系统使用 20 个 ESP8266-12F Wi-Fi 模块发射器和另外 2 个 ESP8266-12F 作为位于 3 m × 3 m 感兴趣区域的接入点开发。借助合适的传感器节点坐标，可以建立 WSN 遥测，以最小化盲点区域并以 0.2 平方米的最小面积限制入侵者的移动。RSSI 测量在三个不同的条件下重复进行，在一个空房间里，存在单个入侵者和多个入侵者。基于RSSI值，我们发现数据具有鲜明的特征，可以用作对上述三种情况进行分类的标志。除此之外，为了证明系统性能的效率，我们还检查了 RSSI 值对温度变化的敏感性。我们的结果表明，早晚的 RSSI 平均值几乎相同。然而，在下午，RSSI 信号强度波动了 - 1.0 dBm。这些结果推动了警报系统的开发，该系统仅使用 RSSI 统计数据来检测人的存在。为了证明系统性能的效率，我们还检查了 RSSI 值对温度变化的敏感性。我们的结果表明，早晚的 RSSI 平均值几乎相同。然而，在下午，RSSI 信号强度波动了 - 1.0 dBm。这些结果推动了警报系统的开发，该系统仅使用 RSSI 统计数据来检测人的存在。为了证明系统性能的效率，我们还检查了 RSSI 值对温度变化的敏感性。我们的结果表明，早晚的 RSSI 平均值几乎相同。然而，在下午，RSSI 信号强度波动了 - 1.0 dBm。这些结果推动了警报系统的开发，该系统仅使用 RSSI 统计数据来检测人的存在。