University of Niš, Faculty of Electronic Engineering
Diversity of radio access technologies, such as ZigBee, Bluetooth, LTE and Wi-Fi, together with growing requirements for their simultaneous use, significantly increase the complexity of IoT wireless networks. A number of open challenges affect practical deployments, such as simultaneous use of multiple technologies, intelligent coordination of a subset of nodes, coexistence of different technologies using the same spectrum, efficient management of (simultaneously used) heterogeneous radio links, etc.
Adoption of Semantic Technology (ST) is a promising approach for coordination in such complex wireless infrastructures especially in cases where interference models are not well understood. SemantiC Coordination for intelligENT sensors (2CENTs) implements network intelligence on top of the FIESTA-IoT platform by reasoning for the network state estimation based on ST. ST facilitates reasoning about coordination, application priority, frequency selection and dynamic spectrum access. Potentially problematic network states could be proactively avoided instead of reactively corrected particularly in priority critical applications.
The 2CENTs controller collects network environment data, processes it for knowledge generation and uses the knowledge to facilitate making informative decisions about coordination. The 2CENTs experiment investigated the performance benefits and unique challenges of coordination in complex infrastructures such as Smart Cities. We designed an experimental scenario that uses the 2CENTs controller and the FIESTA-IoT platform to evaluate a set of strategies for future intelligent coordination in heterogeneous wireless networks (i.e. selection of WiFi and ZigBee channels in the case of mutual interference) based on collected measurements from different sensors application-dependent priority management.
Try it out at: http://infosys1.elfak.ni.ac.rs/2cents/cia.html