Harness Human Sensor Networks for Situational Awareness in Disaster Reliefs: A Survey

Abstract

AbstractComplete, accurate, and up-to-the-minute situational awareness can help disaster relief organizations stabilize the dangers and prevent further losses. Social media (SM) users can be regarded as human sensors since they are analogous to the response of physical sensors to stimuli. Human sensor network (HSN) provides a way to capture situational awareness information coming directly from the grassroots observers in the disasters. The disaster relief organizations can utilize the HSN data to gain the real-time live situations. It saves time and money. This paper surveys on the works of viewing SM as HSNs and extract the situational awareness information from HSN in disaster reliefs. It is found that HSN data, used together with other scientific data, can contribute to better situational awareness in the disaster reliefs.

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