skip to main content
10.1145/3055601.3055614acmconferencesArticle/Chapter ViewAbstractPublication PagescpsweekConference Proceedingsconference-collections
research-article

The Fog Makes Sense: Enabling Social Sensing Services with Limited Internet Connectivity

Published: 18 April 2017 Publication History

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.

References

[1]
Charu C Aggarwal and Tarek Abdelzaher. 2013. Social sensing. In Managing and mining sensor data. Springer, 237--297.
[2]
Maura C Allaire. 2016. Disaster loss and social media: Can online information increase flood resilience? Water Resources Research 52, 9 (2016), 7408--7423.
[3]
Arvind Arasu, Shivnath Babu, and Jennifer Widom. 2006. The CQL Continuous Query Language: Semantic Foundations and Query Execution. The VLDB Journal 15, 2 (June 2006), 121--142.
[4]
Paolo Bellavista and Alessandro Zanni. 2017. Feasibility of Fog Computing Deployment Based on Docker Containerization over RaspberryPi. In Proceedings of the 18th International Conference on Distributed Computing and Networking (ICDCN '17). ACM, Article 16, 10 pages.
[5]
Flavio Bonomi, Rodolfo Milito, Preethi Natarajan, and Jiang Zhu. 2014. Fog computing: A platform for internet of things and analytics. In Big Data and Internet of Things: A Roadmap for Smart Environments. Springer, 169--186.
[6]
Cisco. 2017. Cisco DevNet: IOx. https://developer.cisco.com/site/iox/. (2017). [Online; accessed 19-January-2017].
[7]
Gianpaolo Cugola and Alessandro Margara. 2010. TESLA: A Formally Defined Event Specification Language. In Proceedings of the Fourth ACM International Conference on Distributed Event-Based Systems (DEBS '10). ACM, 50--61.
[8]
Dirk Eilander, Patricia Trambauer, Jurjen Wagemaker, and Arnejan van Loenen. 2016. Harvesting social media for generation of near real-time flood maps. Procedia Engineering 154 (2016), 176--183.
[9]
Y. Gu, M. Zhou, S. Fu, and Y. Wan. 2015. Airborne WiFi networks through directional antennae: An experimental study. In 2015 IEEE Wireless Communications and Networking Conference (WCNC). 1314-1319.
[10]
Kirak Hong, David Lillethun, Umakishore Ramachandran, Beate Ottenwälder, and Boris Koldehofe. 2013. Mobile Fog: A Programming Model for Large-scale Applications on the Internet of Things. In Proceedings of the Second ACM SIGCOMM Workshop on Mobile Cloud Computing (MCC '13). ACM, 15--20.
[11]
Yu Liu, Xi Liu, Song Gao, Li Gong, Chaogui Kang, Ye Zhi, Guanghua Chi, and Li Shi. 2015. Social Sensing: A New Approach to Understanding Our Socioeconomic Environments. Annals of the Association of American Geographers 105, 3 (2015), 512--530.
[12]
lker Bekmezci, Ozgur Koray Sahingoz, and amil Temel. 2013. Flying Ad-Hoc Networks (FANETs): A survey. Ad Hoc Networks 11, 3 (2013), 1254 - 1270.
[13]
Christian Lochert, Hannes Hartenstein, Jing Tian, Holger Fussler, Dagmar Hermann, and Martin Mauve. 2003. A routing strategy for vehicular ad hoc networks in city environments. In Intelligent Vehicles Symposium, 2003. Proceedings. IEEE. IEEE, 156--161.
[14]
B.S. Manoj and Alexandra Hubenko Baker. 2007. Communication Challenges in Emergency Response. Commun. ACM 50, 3 (March 2007), 51--53.
[15]
Ruben Mayer, Boris Koldehofe, and Kurt Rothermel. 2015. Predictable Low-Latency Event Detection With Parallel Complex Event Processing. IEEE Internet of Things Journal 2, 4 (Aug 2015), 274--286.
[16]
Raina M Merchant, Stacy Elmer, and Nicole Lurie. 2011. Integrating social media into emergency-preparedness efforts. New England Journal of Medicine 365, 4 (2011), 289--291.
[17]
A. Pentland, R. Fletcher, and A. Hasson. 2004. DakNet: rethinking connectivity in developing nations. Computer 37, 1 (Jan 2004), 78--83.
[18]
Tomer Simon, Avishay Goldberg, and Bruria Adini. 2015. Socializing in emergencies - A review of the use of social media in emergency situations. International Journal of Information Management 35, 5 (2015), 609 - 619.
[19]
Magnus Skjegstad, Frank T Johnsen, Trude H Bloebaum, and Torleiv Maseng. 2012. Mist: A reliable and delay-tolerant publish/subscribe solution for dynamic networks. In New Technologies, Mobility and Security (NTMS), 2012 5th International Conference on. IEEE, 1--8.
[20]
R. Stiegler, S. Tilley, and T. Parveen. 2011. Finding family and friends in the aftermath of a disaster using federated queries on social networks and websites. In 2011 13th IEEE Int'l Symposium on Web Systems Evolution (WSE). 21-26.
[21]
L. Yusuf and U. Ramachandran. 2012. Community Membership Management for Transient Social Networks. In 2012 21st International Conference on Computer Communications and Networks (ICCCN). 1-7.

Cited By

View all
  1. The Fog Makes Sense: Enabling Social Sensing Services with Limited Internet Connectivity

    Recommendations

    Comments

    Information & Contributors

    Information

    Published In

    cover image ACM Conferences
    SocialSens'17: Proceedings of the 2nd International Workshop on Social Sensing
    April 2017
    97 pages
    ISBN:9781450349772
    DOI:10.1145/3055601
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

    Sponsors

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 18 April 2017

    Permissions

    Request permissions for this article.

    Check for updates

    Author Tags

    1. Fog Computing
    2. Situation Awareness
    3. Social Sensing

    Qualifiers

    • Research-article
    • Research
    • Refereed limited

    Conference

    CPS Week '17
    Sponsor:
    CPS Week '17: Cyber Physical Systems Week 2017
    April 18 - 21, 2017
    PA, Pittsburgh, USA

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • Downloads (Last 12 months)4
    • Downloads (Last 6 weeks)1
    Reflects downloads up to 26 Dec 2024

    Other Metrics

    Citations

    Cited By

    View all

    View Options

    Login options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    Media

    Figures

    Other

    Tables

    Share

    Share

    Share this Publication link

    Share on social media