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ContextMete

Emergence of sensor rich smart phones has expanded the growth of Mobile Crowd Sensing. Presence of the required context is vital for mobile crowd sensing. This research focuses on the context availability during mobile crowd sensing.

Publications

  1. Pore, M., Sadeghi, K., Chakati, V., Banerjee, A., & Gupta, S. K. (2015, September). Enabling real-time collaborative brain-mobile interactive applications on volunteer mobile  devices. In Proceedings of the 2nd International Workshop on Hot Topics in Wireless (pp. 46-50). ACM. (pdf)
  2.   Pore, M., Chakati, V., Banerjee, A., & Gupta, S. K. (2016, October). ContextMete: Context Optimized Peer Offload Architecture for Distributed Mobile Applications. In 2016 IEEE/ACM Symposium on Edge Computing (SEC) (pp. 105-106). IEEE. (pdf)