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Incentive-based Dynamic Content Management in Mobile Crowdsourcing for Smart City Applications

Speakers: Sanjay Kumar Madria
Topic(s): Mobile Computing


Ever-increasing prevalence of social networking using mobile devices has catalyzed the growth of interesting and innovative new-age mobile crowdsourcing applications, which work at the intersection of human-centric computation (e.g., economic incentive management and social computing) and dynamic management of information as well as content in mobile networks. The prevalence and proliferation of mobile devices coupled with popularity of social media and increasingly technology-savvy users have fueled the growth of mobile crowdsourcing and participatory sensing. In particular, participatory sensing can occur in various ways by means of devices (e.g., mobile phones, PDAs, laptops and various types of sensors) or by including humans in the loop or both. Notably, participatory sensing can also potentially act as a key enabling technology for various applications involving smarter cities initiatives.
Incidentally, large-scale collection of city-related event data is crucial to effective planning and decision-making for improving city management. Examples of city-related event data include traffic congestion, illegal parking, accidents, dysfunctional streetlights, broken pavements, potholes, planned road construction works, and waterlogging, and garbage collection. Notably, existing sensor-based data collection mechanisms cannot always take human judgment and the context of the event into consideration, and the costs of deploying them across all city locations would be prohibitively expensive. Hence, event data collection can be used to complement sensor-based data collection. Since mobile devices often come equipped with various kinds of sensors, resident-driven data collection is also well aligned with current technological trends. However, incentives need to be provided to users for encouraging them to contribute better quality event data. I will discuss various work done in the realm of collecting data using incentives for several of these smart city applications.


About this Lecture

Number of Slides: 60 - 120
Duration: 60 - 180 minutes
Languages Available: English
Last Updated: 05-03-2017
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