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We propose a novel Cyber-Physical System for object sensing and localization based on changes in the wireless signal strength with the focus on border protection as an application scenario. Our work is based on the principle that RF signals undergo reflection or refraction when encountering physical objects leading to variations in the received signal. Our system uses access points and monitoring points as sensing and computational nodes. The existence of an object, for example a human or a vehicle, in the area of interest affects the signal strength transmitted by the access points and received by the monitoring points. The system has training and operation modes. Training occurs by injecting various objects into the field of operation with varying mobility patterns and recording the respective changes in the received signal strength. This produces signal maps that will be stored for future matching during the operation mode. According to the type, size, location and number of objects (or intruders in the operation mode), our system assigns a priority to the border intrusion event, so as to deal with that event properly. We therefore transform the problem of intrusion detection to a signal pattern matching one. Our proposed system shows a good probability of detection of objects such as standing humans and stationary cars. In addition, the system has a good ability to differentiate between humans, cars and other objects. We also investigate the challenges and open issues related to our system.

WCPS-OSL: A Wireless Cyber-Physical System for Object Sensing and Localization