The immensity of smart city projects poses a modeling challenge for application developers looking to evaluate smart city technologies before spending time and money on deployments. This has created an opening for a simulation solution that scales as networks grow, while ensuring an accurate representation of network and device characteristics
Traditional proof of concept (PoC) methodologies can be time-consuming and expensive as they often require a trial-and-error, hardware-based approach using incremental, small-scale rollouts. In addition, they struggle to accurately represent the technical characteristics of smart city platforms as they scale to thousands of devices across multiple, disparate networking technologies.
Instead, today's smart city developers require prototyping solutions that allow them to scale network and device analysis, as well as platform evaluation, to levels on par with real-world implementations. These requirements have led to new thinking in simulation technologies that now allows smart city stakeholders to evaluate the characteristics of smart city platform solutions in a virtualized environment, accurately and at scale.
Not only do these virtual sandboxes allow developers to create systems of systems based on thousands of sensors and devices, they also provide the opportunity to asses network characteristics under various loads. This helps reduce cost and time to market while at the same time designing accurately for current and future smart city requirements.
The Requirements of a Smart City Network Smart cities are based on a compilation of efficiency (traffic management, utilities distribution, etc.) and safety (law enforcement, healthcare allocation, etc.) systems and services, all embedded into the fabric of urban and suburban communities through networks of sensors and communications technologies. Depending on the systems involved and the extent of the solution, smart city deployments can comprise tens, if not hundreds of thousands, of endpoints.