Developing an Integration Framework for Crowdsourcing and Internet of Things with Applications for Disaster Response
2015 IEEE International Conference on Data Science and Data Intensive Systems (DSDIS) (2015)
Dec. 11, 2015 to Dec. 13, 2015
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/DSDIS.2015.50
The crowdsourcing and internet of things (IoT) have played a significant role in revolutionizing the information age. There is significant literature which has attempted to investigate the role of crowdsourcing and IoT in improving disaster response. However there is hardly any literature which attempted to reflect upon integration of crowdsourcing and IoT to explain better coordination among disaster relief workers to improve disaster response. In response to pressing need, we have attempted to develop a theoretical framework which can help disaster relief workers to improve their coordination using valuable information derived using comprehensive crowdsourcing framework. In this study we have used two-prong research strategies. First we have conducted extensive review of articles published in reputable journals, magazines and blogs by eminent practitioners and policy makers followed by case studies: stampede in Godavari River at Rajahmundry (2015), earthquake in Nepal (2015), flood in Uttarakhand (2013). Finally we have concluded our research findings with further research directions.
Crowdsourcing, Reliability, Media, Twitter, Interviews, Protocols
R. Dubey, Z. Luo, M. Xu and S. F. Wamba, "Developing an Integration Framework for Crowdsourcing and Internet of Things with Applications for Disaster Response," 2015 IEEE International Conference on Data Science and Data Intensive Systems (DSDIS), Sydney, Australia, 2015, pp. 520-524.