Wireless sensor networks (WSNs) and Internet-of-Things (IoT) are among the main enabling technologies for smart systems (transportation, farming, health, etc.). Therefore, WSNs/IoT have received enormous attention where various communications-related performance metrics were considered such as reliability, connectivity, throughput, delay, network life-time, power efficiency, and security. In the literature, WSN design is typically optimized to maximize/minimize one or more of the aforementioned metrics under certain constraints. However, very little work has performed system/network optimization while considering the communications requirements jointly with the decision fusion process. Such approach is expected to produce novel system, network, and signal designs. Consequently, the main objective of this project is to jointly consider communication and data fusion requirements in designing an efficient WSN-IoT system/network that maximizes the control action accuracy and minimizes the system cost. The system design will focus on red palm weevil detection, which is one of the world’s most destructive palm pests.
