Analysis of motivation approach in mobile crowdsensing application: Specialize on public transportation domain

Mobile Crowdsensing s a new sensing paradigms which bring the revolutionary advance in crowdsourcing application. Although there are many possibilities in crowd sensing application, motivation and incentive is a critical issue when the devices have very limited resources (e.g., energy and storage capacity) or the information revealed is highly sensitive. In this research, we design a motivation model in public transport domain through identify the key component that need motivation, designing Android applications of the model and evaluating the applications with real life data. The suggested model helps to provide a low budget to motivate user in government or non-profit organization Mobile Crowd Sensing application and maintain long lasting contributor in their application.