CrowdPower: A Novel Crowdsensing-as-a-Service Platform for Real-Time Incident Reporting

Crowdsensing using mobile phones is a novel addition to the Internet of Things applications suite. However, there are many challenges related crowdsensing, including (1) ability manage large number users with varying devices’ capabilities; (2) recruiting reliable available in location interest at right time; (3) handling various sensory data collected different requirements and frequencies scales; (4) brokering relationship between collectors consumers an efficient scalable manner; (5) automatically generating intelligence reports after processing data. No comprehensive end-to-end crowdsensing platform has been proposed despite few attempts address these challenges. In this work, we aim filling gap by proposing describing practical implementation crowdsensing-as-a-service system dubbed CrowdPower. Our offers standard interface for management brokerage data, enabling transformation raw into valuable smart city intelligence. solution includes model selecting participants sensing campaigns based on reliability quality sensors users’ devices, then subsequently analysing provided clustering approach predict user reputation identify outliers. The also elaborate administration web portal developed visualize activities. architecture, design, backend capabilities, explain creation CrowdPower’s application that enables participate