CupCarbon

Abstract

The proliferation of radio communication systems and the significant advances in enabling device technologies are paving towards Internet-of-Things (IoT) and opening new horizons for Smart City applications and its services. Such evolution becomes essential in order to enhance quality of urban services, to reduce costs, and to engage citizens more actively. In this context, novel simulation tools are required to prepare the future deployments of large-scale IoT infras tructure for Smart cities in the best conditions in terms of reliability, energy consumption, and cost. This keynote session presents the CupCarbon1 framework: a platform for designing smart-city and IoT Wireless Sensor Networks (SCIWSN). CupCarbon aims to provide following benefits that makes it significant from the other conventional wireless sensor network simulators. (1) provides modeling and simulation of radio propagation channel and alpha-stable noise based interferences in more realistic way, (2) takes into account the deployment environment and quantify the uncertainty of simulations, (3) allows the representation of mobile nodes and dynamic environments, (4) allows the behavioural study of a network or networks with large number of nodes in practical environments (city, mountain, etc.). The CupCarbon simulator allows it's user to design, visualize, debug and validate distributed algorithms for monitoring environmental data collections of wireless sensor network. It creates environmental scenarios such as fires, gas, mobiles, and generally within educational and scientific projects. It offers two different simulation environments. First is a multi-agent environment that enables the design of mobility scenarios and the generation of events such as fires and gas as well as the simulation of mobile nodes. Second environment represents a discrete event simulation of wireless sensor networks which also takes into account the scenario designed on the basis of the first environment. Interference models based on the impulsive nature of noise and outdoor propagation models are embedded within Cup-Carbon to provide more realistic analysis of WSNs for smart city applications. These models are associated with spatial zones according to the electromagnetic interactions.