Heterogeneous Crowd-sourcing and Data Fusion Model for Disaster Management Services

In the present study of heterogeneous crowd sourcing is a novel field which shall bring marked improvement in the field of decision support system. At this point of time, the world is evolving technologically and thus we have started emphasizing on human brains as a specific physical sensors as far sensing capabilities are concerned. There are many human beings who are actually Subject Matters Experts (SME). We need to tap this potential of human brain and make them as sensors for our decision support system. Thus transforming the humans in to sensors is a new concept of getting data attributes which shall help in decision support system. With humans evolving and being utilized as a sensor the concept of crowd sourcing has evolved and the focus has now been shifted to new paradigm of crowd sensing (C-SENSE) of events along with the traditional sensors. This paper presents a conceptual communication mechanism for heterogeneous crowd sourcing which is fusion a of hierarchical-IMS (IDmapping server) and data fusion model to support hand-in-hand for disaster management’s services.