Wireless mesh network system design and implementation for surveillance, health monitoring and tracking

In this thesis, we present a ZigBee based wireless sensor network platform that incorporates major functionalities such as health monitoring, surveillance and mobile target tracking. The health monitoring function includes comprehensive physiology signal integration such as heart rate, body position and body activity, to achieve non-invasive and continuous human health monitoring. The surveillance functions include intrusion and shake detection. For tracking of the mobile node (referred to Tag device in this work), two localization methods are proposed: 1) the presence in zone (PIZ) and 2) the dynamic transmit power variation (DTPV). The PIZ methodology demonstrates a high capacity, low latency, and reliable indoor localization solution. The PIZ method is proven to work successfully for detecting up to six Tags in less than 2.0 seconds in our experiment. By observing the power distribution of the DTPV methodology, up to 9 possible locations in an outdoor area can be detected using 4 stationary nodes.