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Middleware for crowd sensing systems

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dc.contributor.author Wason, Manan
dc.contributor.author Singh, Pushpendra (Advisor)
dc.date.accessioned 2017-11-13T11:21:48Z
dc.date.available 2017-11-13T11:21:48Z
dc.date.issued 2016-11-18
dc.identifier.uri http://repository.iiitd.edu.in/xmlui/handle/123456789/567
dc.description.abstract Nowadays, mobile devices are loaded with many useful sensors and have high computational capabilities. The sensors available on these devices provide valuable data that can be harnessed in many ways. Due to abundance of mobile devices, it has become a challenge to identify optimal data providers. There have been many approaches already proposed to identify a group of mobile nodes that can serve a particular request like collecting accelerometer data or wifi strength, something that makes use of the sensor data from this group of mobile nodes. But, very little work has been done to identify an optimal node within that group. An optimal node can be defined as one that has the best score based on its history to serve requests and vital stats like battery level, data connection quality etc. In my project I address this problem and try to develop a middleware to achieve the same. I also harness the middleware's capabilities to develop real world applications using the data collected by optimal nodes. This semester I was primarily working on developing applications that use the data collected using crowd sensing through the nodes assigned by the middleware. en_US
dc.language.iso en_US en_US
dc.subject Android en_US
dc.subject RabbitMQ en_US
dc.subject Crowd sensing en_US
dc.title Middleware for crowd sensing systems en_US
dc.type Other en_US

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