無線感測網路應用於智慧型監視系統及其事件偵測延遲分析

Abstract

無線感測網路提供一個經濟又方便的方法來進行環境偵測，而將可提供豐富內容的無線感測網路結合至監視系統是一個新的研究方向。在這邊，我們提出了整合無線感測器行動監視系統，該系統包含了大量較便宜但不具行動能力的定點感測器及少量較昂貴但具行動能力的行動感測器。定點感測器是用來進行環境偵測，行動感測器則是用來移動至特定目標點並且採取近一步措施，結合起來就是具移動能力及豐富資訊的監視系統。在這邊採用家庭安全應用來映證我們提出來的系統。在這邊我們也發現影響整個系統效能最大的因素是事件偵測延遲，我們將這個問題制定成任意感測模型或是更精密的多重感測模型。我們將在這兩個模型下分析事件偵測延遲，並且利用幾個模擬結果來映證我們的分析。這個分析也同樣適用於其他無線感測網路應用。

Wireless sensor networks (WSN) provide an inexpensive and convenient way to monitor physical environments. Integrating the context-aware capability of WSN into surveillance systems is an attractive direction. We thus propose an integrated mobile surveillance and wireless sensor (iMouse) system, which consists of a large number of inexpensive static sensors and a small number of more expensive mobile sensors. The former is to monitor the environment, while the latter is capable of moving to certain target locations and taking more advanced actions. The iMouse system is a mobile, context-aware surveillance system. We demonstrate our current prototyping for home security applications. One important performance metric of the system is the event detection latency. We analyze the latency under an any-sensor-detection and a k-sensor-detection models, where k > 1. The analytical results are also verified by simulations.