A crowdsourced platform that allows individuals to share sensor-based data from mobile devices such as smartphones, tablets, or wearables to measure, map, and optimize processes of common interest. As micro-sensors in smart communication devices, such as smartphones, tablet computers, or wearables, begin to capture a wider variety of data in real-time, the gathered information could inspire services to build a trusted chain between service requesters and suppliers. Instead of creating a smart grid or ubiquitous surveillance methods to collect data, citizens could individually opt-in with their smartphones, helping communities develop autonomously. By collectively extracting information about the environment, weather, urban mobility, and other useful sensory information, crowdsensing platforms could measure, map, and optimize themes of common interest. Environmental applications include measuring pollution levels in a city or water levels in estuaries, monitoring of wildlife habitats, and utilizing microphones on mobile phones to control noise levels in communities. A variety of mobile-phone applications use crowdsensing to help millions of users avoid traffic congestion and help decrease air and sound pollution levels, as well as measuring large-scale phenomena related to public-works issues such as damaged or broken public property (e.g., traffic light outages, potholes, etc.). Furthermore, by tracking the movements of thousands of people and correlating this with the time and speed of travel, it could synchronize the public transportation network of a big city with the daily habits and lifestyles of its inhabitants. In terms of public governance, these mobile and web apps provide opportunities for citizens to engage with their local government. They could use this channel to communicate requests, provide feedback, or report faulty utilities and infrastructure, while engagement levels could improve through participatory sensing and accountability processes. However, by gathering and accessing this myriad of precise and evolving data, users should pay special attention to the entities and individuals managing and using their personal data. Policies to govern data usage should be applied to ensure privacy and the security of users' identities while deploying this technology. With the rising adoption of mobile communications across all social classes in urban environments and the expansion of internet availability, future resource management entities may save a considerable chunk of their research budget by using crowdsensing-collected sensor-based data. It would be imperative to properly manage the crowdsensed data and provide open centers with the computing power to process, manipulate, and transform the disaggregated data in collective intelligence for the improvement of the common good of society at large. The data generated through crowdsensing platforms should be given preferential treatment as a public asset, being openly available, and adhered to standard data formats. It could help identify everyday data needs across applications to avoid duplicate sensing and processing activities on devices.
Mobile Crowdsensing Platform