International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


Downloads: 151 | Weekly Hits: ⮙1 | Monthly Hits: ⮙1

Research Paper | Computer Science & Engineering | Bangladesh | Volume 8 Issue 2, February 2019


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


Edition: Volume 8 Issue 2, February 2019,


Pages: 938 - 941


How to Download this Article?

You Need to Register Your Email Address Before You Can Download the Article PDF


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, pp. 938-941, https://www.ijsr.net/get_abstract.php?paper_id=ART20194811

Similar Articles with Keyword 'Edge Computing'

Downloads: 1 | Weekly Hits: ⮙1 | Monthly Hits: ⮙1

Research Proposals or Synopsis, Computer Science & Engineering, India, Volume 11 Issue 9, September 2022

Pages: 837 - 842

An Optimized IoT-Enabled Big Data Analytics Architecture for Edge-Cloud Computing Using Deep Learning

Bharathi K.

Share this Article

Downloads: 2 | Weekly Hits: ⮙1 | Monthly Hits: ⮙2

Research Paper, Computer Science & Engineering, India, Volume 12 Issue 12, December 2023

Pages: 997 - 999

Unifying Intelligence: Federated Learning in Cloud Environments for Decentralized Machine Learning

Dr. Angajala Srinivasa Rao

Share this Article
Top