Quality-Aware and Penalty-Sensitive Opportunistic Crowdsensing in Mobile Relay Networks
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Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-030-64243-3_34
Reference25 articles.
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3. Du, Y., Sailhan, F., Issarny, V.: Let opportunistic crowd sensors work together for resource-efficient, quality-aware observations. In: IEEE International Conference on Pervasive Computing and Communications (2020)
4. Guo, B., et al.: Mobile crowd sensing and computing: the review of an emerging human-powered sensing paradigm. ACM Comput. Surv. (CSUR) 48(1), 1–31 (2015)
5. Han, K., Zhang, C., Luo, J.: Bliss: budget limited robust crowdsensing through online learning. In: IEEE International Conference on Sensing, Communication, and Networking (SECON), pp. 555–563 (2014)
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