Distributed Data Collection Control in Opportunistic Mobile Crowdsensing-Reference-Cited by-同舟云学术

Distributed Data Collection Control in Opportunistic Mobile Crowdsensing

Published:2017 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 3rd Workshop on Experiences with the Design and Implementation of Smart Objects - SMARTOBJECTS '17
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Author:

Montori Federico¹,Bedogni Luca¹,Bononi Luciano¹

Affiliation:

1. University of Bologna, Bologna, Italy

Publisher

ACM Press

Reference16 articles.

1. Luciano Bononi, Marco Conti, and Enrico Gregori. 2004. Runtime Optimization of IEEE 802.11 Wireless LANs Performance. IEEE Transactions on Parallel and Distributed Systems 15, 1 (2004), 66--80.

2. Bin Guo, Huihui Chen, Zhiwen Yu, Xing Xie, Shenlong Huangfu, and Daqing Zhang. 2015. FlierMeet: A Mobile Crowdsensing System for Cross-Space Public Information Reposting, Tagging, and Sharing. IEEE Transactions on Mobile Computing 14, 10 (2015), 2020--2033.

3. Bin Guo, Zhiwen Yu, Xingshe Zhou, and Daqing Zhang. 2014. From participatory sensing to Mobile Crowd Sensing. In 2014 IEEE International Conference on Pervasive Computing and Communication Workshops, 2014. 593--598.

4. Alireza Hassani, Pari Delir Haghighi, and Prem Prakash Jayaraman. 2016. Context-aware recruitment scheme for opportunistic mobile crowdsensing. In Proceedings of the International Conference on Parallel and Distributed Systems - ICPADS, Vol. 2016-January. 266--273.

5. Olafur Helgason, Sylvia T. Kouyoumdjieva, and Gunnar Karlsson. 2014. Opportunistic Communication and Human Mobility. IEEE Transactions on Mobile Computing 13, 7 (2014), 1597--1610.

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