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The fog makes sense : Enabling social sensing services with limited internet connectivity

Title data

Mayer, Ruben ; Gupta, Harshit ; Saurez, Enrique ; Ramachandran, Umakishore:
The fog makes sense : Enabling social sensing services with limited internet connectivity.
In: Proceedings 2017 2nd International Workshop on Social Sensing. - New York : Association for Computing Machinery , 2017 . - pp. 61-66
ISBN 978-1-4503-4977-2
DOI: https://doi.org/10.1145/3055601.3055614

Abstract in another language

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.

Further data

Item Type: Article in a book
Refereed: Yes
Institutions of the University: Faculties
Faculties > Faculty of Mathematics, Physics und Computer Science
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Chair Data Systems
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Chair Data Systems > Chair Data Systems - Univ.-Prof. Dr. Ruben Mayer
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science
Result of work at the UBT: No
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
Date Deposited: 25 Apr 2023 10:34
Last Modified: 05 Feb 2024 07:40
URI: https://eref.uni-bayreuth.de/id/eprint/76019