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Cloud-Based Disaster Management Using Mobile Edge Computing Mechanism

Arunavo Dey, Nahid Anwar

Abstract: Social sensing services use humans as sensor carriers, sensor operators and sensors themselves in order to provide situation-awareness to applications. This promises to provide a multitude of benefits to the users, for example in the management of natural disasters or in community empowerment. However, current social sensing services depend on Internet connectivity since the services are deployed on central Cloud platforms. In many circumstances, Internet connectivity is constrained, for instance when a natural disaster causes Internet outages or when people do not have Internet access due to economical reasons. In this paper, we propose the emerging Fog Computing infrastructure to become a key-enabler of social sensing services in situations of constrained Internet connectivity. To this end, we develop a generic architecture and API of Fog-enabled social sensing services. We exemplify the usage of the proposed social sensing architecture on a number of concrete use cases from two different scenarios.

Keywords: Social Sensing, Edge Computing, Situation Awareness

Country: Bangladesh, Subject Area: Computer Engineering

Pages: 938 - 941

Edition: Volume 8 Issue 2, February 2019

How to Cite this Article?

Arunavo Dey, Nahid Anwar, "Cloud-Based Disaster Management Using Mobile Edge Computing Mechanism", International Journal of Science and Research (IJSR),, Volume 8 Issue 2, February 2019, 938 - 941

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