Confident-based Adaptable Connected objects discovery to HArmonize smart City Applications

With the advent of the Internet of Things (IoT) and its need to boost cooperation between different objects in order to improve the quality and the completeness of the produced information, it is important to understand and to evaluate data which comes out and goes into each thing. In this paper we propose CACHACA, a ranking mechanism for Sensor Networks that facilitate the discovery of services provided by each network element. By running the proposed algorithm, it is possible to evaluate and classify the neighborhood and the available services for each node. Performances of CACHACA has been first evaluated through extensive simulations and them stressed when facing a realistic environment through experimentations run on the FIT IoT-LAB testbed. Achieved results demonstrate its effectiveness in the discovery of services process with regards to traditional approaches.