%0 Conference Paper %1 5534910 %A Demirbas, M. %A Bayir, M. Ali %A Akcora, C. G. %A Yilmaz, Y. S. %A Ferhatosmanoglu, H. %B World of Wireless Mobile and Multimedia Networks (WoWMoM), 2010 IEEE International Symposium on a %D 2010 %K crowdsourcing k3 m1 twitter %P 1-9 %R 10.1109/WOWMOM.2010.5534910 %T Crowd-sourced sensing and collaboration using twitter %U http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5534910&tag=1 %X Despite the availability of the sensor and smart-phone devices to fulfill the ubiquitous computing vision, the-state-of-the-art falls short of this vision. We argue that the reason for this gap is the lack of an infrastructure to task/utilize these devices for collaboration. We propose that microblogging services like Twitter can provide an “open” publish-subscribe infrastructure for sensors and smartphones, and pave the way for ubiquitous crowd-sourced sensing and collaboration applications. We design and implement a crowd-sourced sensing and collaboration system over Twitter, and showcase our system in the context of two applications: a crowd-sourced weather radar, and a participatory noise-mapping application. Our results from real-world Twitter experiments give insights into the feasibility of this approach and outline the research challenges in sensor/smartphone integration to Twitter.

@inproceedings{5534910, abstract = {Despite the availability of the sensor and smart-phone devices to fulfill the ubiquitous computing vision, the-state-of-the-art falls short of this vision. We argue that the reason for this gap is the lack of an infrastructure to task/utilize these devices for collaboration. We propose that microblogging services like Twitter can provide an “open” publish-subscribe infrastructure for sensors and smartphones, and pave the way for ubiquitous crowd-sourced sensing and collaboration applications. We design and implement a crowd-sourced sensing and collaboration system over Twitter, and showcase our system in the context of two applications: a crowd-sourced weather radar, and a participatory noise-mapping application. Our results from real-world Twitter experiments give insights into the feasibility of this approach and outline the research challenges in sensor/smartphone integration to Twitter.}, added-at = {2016-06-14T11:32:56.000+0200}, author = {Demirbas, M. and Bayir, M. Ali and Akcora, C. G. and Yilmaz, Y. S. and Ferhatosmanoglu, H.}, biburl = {https://www.bibsonomy.org/bibtex/2e824b79765a7ba0692c31439364e7980/asmelash}, booktitle = {World of Wireless Mobile and Multimedia Networks (WoWMoM), 2010 IEEE International Symposium on a}, description = {IEEE Xplore Abstract - Crowd-sourced sensing and collaboration using twitter}, doi = {10.1109/WOWMOM.2010.5534910}, interhash = {f5981cdbb5519463444c0f97e84ab3ac}, intrahash = {e824b79765a7ba0692c31439364e7980}, keywords = {crowdsourcing k3 m1 twitter}, month = {June}, pages = {1-9}, timestamp = {2016-06-14T11:32:56.000+0200}, title = {Crowd-sourced sensing and collaboration using twitter}, url = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5534910&tag=1}, year = 2010 }