research-article

Opportunistic named functions in disruption-tolerant emergency networks

Authors:

Pablo Graubner,

Lars Baumgärtner,

Bernd FreislebenAuthors Info & Claims

CF '18: Proceedings of the 15th ACM International Conference on Computing Frontiers

Pages 129 - 137

https://doi.org/10.1145/3203217.3203234

Published: 08 May 2018 Publication History

Abstract

Information-centric disruption-tolerant networks (ICN-DTNs) are useful to re-establish mobile communication in disaster scenarios when telecommunication infrastructures are partially or completely unavailable. In this paper, we present opportunistic named functions, a novel approach to operate ICN-DTNs during emergencies. Affected people and first responders use their mobile devices to specify their interests in particular content and/or application-specific functions that are then executed in the network on the fly, either partially or totally, in an opportunistic manner. Opportunistic named functions rely on user-defined interests and on locally optimal decisions based on battery lifetimes and device capabilities. In the presented emergency scenario, they are used to preprocess, analyze, integrate and transfer information extracted from images produced by smartphone cameras, with the aim of supporting the search for missing persons and the assessment of critical conditions in a disaster area. Experimental results show that opportunistic named functions reduce network congestion and improve battery lifetime in a network of battery-powered sensors, mobile devices, and mobile routers, while delivering crucial information to carry out situation analysis in disasters.

References

[1]

J. Ahrenholz, C. Danilov, T. R. Henderson, and J. H. Kim. CORE: A Real-time Network Emulator. In Military Communications Conference, pages 1--7. IEEE, 2008.

[2]

C. Anastasiades, T. Schmid, J. Weber, and T. Braun. Information-centric Content Retrieval for Delay-tolerant Networks. Computer Networks, 107:194 -- 207, 2016.

Digital Library

[3]

M. Ashar, H. Suwa, Y. Arakawa, and K. Yasumoto. Priority Medical Image Delivery Using DTN for Healthcare Workers in Volcanic Emergency. Scientific Phone Apps and Mobile Devices, 2(1):9, 2016.

[4]

L. Baumgärtner, P. Gardner-Stephen, P. Graubner, J. Lakeman, J. Höchst, P. Lampe, N. Schmidt, S. Schulz, A. Sterz, and B. Freisleben. An experimental evaluation of delay-tolerant networking with serval. In Global Humanitarian Technology Conference (GHTC), 2016, pages 70--79. IEEE, 2016.

[5]

J. Chen, M. Arumaithurai, X. Fu, and K. K. Ramakrishnan. CNS: Content-oriented Notification Service for Managing Disasters. In Proceedings of the 3rd ACM Conference on Information-Centric Networking, ICN '16, pages 122--131, 2016.

Digital Library

[6]

J. Cheney, B. Klein, A. K. Jain, and B. F. Klare. Unconstrained Face Detection: State of the Art Baseline and Challenges. In International Conference on Biometrics (ICB '15), pages 229--236. IEEE, 2015.

[7]

P. Gardner-Stephen, A. Bettison, R. Challans, and J. Lakeman. The Rational Behind The Serval Network Layer For Resilient Communications. Journal of Computer Science, 9(12):1680, 2013.

[8]

P. Gardner-Stephen, R. Challans, J. Lakeman, A. Bettison, D. Gardner-Stephen, and M. Lloyd. The Serval Mesh: A Platform for Resilient Communications in Disaster & Crisis. In IEEE Global Humanitarian Technology Conference (GHTC), pages 162--166. IEEE, 2013.

[9]

P. Gardner-Stephen, J. Lakeman, R. Challans, C. Wallis, A. Stulman, and Y. Haddad. MeshMS: Ad Hoc Data Transfer within a Mesh Network. International Journal of Communications, Network and System Sciences, 8(5):496--504, 2012.

[10]

J. Hosang, R. Benenson, P. Dollar, and B. Schiele. What Makes for Effective Detection Proposals? IEEE Transactions on Pattern Analysis and Machine Intelligence, 38(4):814--830, 2016.

Digital Library

[11]

V. Jacobson, D. K. Smetters, J. Thornton, M. Plass, N. Briggs, and R. Braynard. Networking Named Content. In Proceedings of the 5th International Conference on Emerging Networking Experiments and Technologies, CoNEXT '09, pages 1--12. ACM, 2009.

Digital Library

[12]

S. Kim, Y. Urata, Y. Koizumi, and T. Hasegawa. Power-saving NDN-based Message Delivery based on Collaborative Communication in Disasters. In The 21st IEEE International Workshop on Local and Metropolitan Area Networks, 2015.

[13]

P. Lampe, L. Baumgärtner, R. Steinmetz, and B. Freisleben. SmartFace: Efficient Face Detection on Smartphones for Wireless On-demand Emergency Networks. In 24th Int. Conf. on Telecommunications (ICT 2017), Limassol, Cyprus, 2017.

[14]

V. Mahadevan and N. Vasconcelos. Biologically Inspired Object Tracking Using Center-Surround Saliency Mechanisms. IEEE Trans. on Pattern Analysis and Machine Intelligence, 35(3):541--554, 2013.

Digital Library

[15]

L. Melvix J.S.M., V. Lokesh, and G. C. Polyzos. Energy Efficient Context Based Forwarding Strategy in Named Data Networking of Things. In Proceedings of the 3rd ACM Conference on Information-Centric Networking, ICN '16, 2015.

Digital Library

[16]

E. Monticelli, B. M. Schubert, M. Arumaithurai, X. Fu, and K. K. Ramakrishnan. An Information Centric Approach for Communications in Disaster Situations. In IEEE 20th Int. Workshop on Local Metropolitan Area Networks, pages 1--6, 2014.

[17]

T. A. B. Nguyen, P. Agnihotri, C. Meurisch, M. Luthra, R. Dwarakanath, J. Blendin, D. Böhnstedt, M. Zink, and R. Steinmetz. Efficient Crowd Sensing Task Distribution Through Context-aware NDN-based Geocast. In 42nd IEEE Conference on Local Computer Networks (LCN'17), pages 52--60. IEEE, 2017.

[18]

S. Y. Oh, D. Lau, and M. Gerla. Content Centric Networking in Tactical and Emergency MANETs. In 2010 IFIP Wireless Days, pages 1--5, 2010.

[19]

I. Psaras, L. Saino, M. Arumaithurai, K. K. Ramakrishnan, and G. Pavlou. Name-based Replication Priorities in Disaster Cases. In IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), pages 434--439, 2014.

[20]

A. Roy, S. Mahanta, M. Tripathy, S. Ghosh, and S. Bal. Health Condition Identification of Affected People in Post Disaster Area Using DTN. In IEEE 7th Ann. Ubiquitous Computing, Electronics Mobile Communication Conf. (UEMCON), pages 1--3, 2016.

[21]

M. Sifalakis, B. Kohler, C. Scherb, and C. Tschudin. An Information Centric Network for Computing the Distribution of Computations. In Proceedings of the 1st ACM Conference on Information-Centric Networking, ICN '14, pages 137--146, 2014.

Digital Library

[22]

T. Soyata, R. Muraleedharan, C. Funai, M. Kwon, and W. Heinzelman. Cloud-vision: Real-time Face Recognition Using a Mobile-Cloudlet-Cloud Acceleration Architecture. In IEEE Symposium on Computers and Communications (ISCC 2012), pages 59--66. IEEE, 2012.

Digital Library

[23]

B. U. Töreyin, Y. Dedeoglu, U. Güdübay, and A. E. Cetin. Computer Vision Based Method for Real-time Fire and Flame Detection. Pattern Recognition Letters, 27(1):49 -- 58, 2006.

Digital Library

[24]

C. Tschudin and M. Sifalakis. Named Functions for Media Delivery Orchestration. In 20th International Packet Video Workshop 2013, 2013.

[25]

C. Tschudin and M. Sifalakis. Named Functions and Cached Computations. In IEEE 11th Consumer Communications and Networking Conference (CCNC), pages 851--857, 2014.

[26]

P. Viola and M. J. Jones. Robust Real-time Face Detection. International Journal of Computer Vision, 57(2):137--154, 2004.

Digital Library

Cited By

Koukis GSafouri KTsaoussidis V(2024)All about Delay-Tolerant Networking (DTN) Contributions to Future InternetFuture Internet10.3390/fi1604012916:4(129)Online publication date: 9-Apr-2024
https://doi.org/10.3390/fi16040129
Baumgärtner L(2024)Dtnmqtt: A Resilient Drop-In Solution for MQTT in Challenging Network ConditionsAdvances in Information and Communication10.1007/978-3-031-54053-0_36(524-543)Online publication date: 17-Mar-2024
https://doi.org/10.1007/978-3-031-54053-0_36
Sarros CDemiroglou VTsaoussidis V(2021)Intermittently-connected IoT devices: Experiments with an NDN-DTN architecture2021 IEEE 18th Annual Consumer Communications & Networking Conference (CCNC)10.1109/CCNC49032.2021.9369578(1-9)Online publication date: 9-Jan-2021
https://doi.org/10.1109/CCNC49032.2021.9369578
Show More Cited By

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cover image ACM Conferences

CF '18: Proceedings of the 15th ACM International Conference on Computing Frontiers

May 2018

401 pages

ISBN:9781450357616

DOI:10.1145/3203217

General Chairs:
David Kaeli
Northeastern University
,
Miquel Pericàs
Chalmers University of Technology, SE

Copyright © 2018 ACM.

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 ACM 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]

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Publication History

Published: 08 May 2018

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LOEWE initiative (Hessen, Germany)

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SIGMICRO

CF '18: Computing Frontiers Conference

May 8 - 10, 2018

Ischia, Italy

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Overall Acceptance Rate 273 of 785 submissions, 35%

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22nd ACM International Conference on Computing Frontiers

May 28 - 30, 2025

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Cited By

Koukis GSafouri KTsaoussidis V(2024)All about Delay-Tolerant Networking (DTN) Contributions to Future InternetFuture Internet10.3390/fi1604012916:4(129)Online publication date: 9-Apr-2024
https://doi.org/10.3390/fi16040129
Baumgärtner L(2024)Dtnmqtt: A Resilient Drop-In Solution for MQTT in Challenging Network ConditionsAdvances in Information and Communication10.1007/978-3-031-54053-0_36(524-543)Online publication date: 17-Mar-2024
https://doi.org/10.1007/978-3-031-54053-0_36
Sarros CDemiroglou VTsaoussidis V(2021)Intermittently-connected IoT devices: Experiments with an NDN-DTN architecture2021 IEEE 18th Annual Consumer Communications & Networking Conference (CCNC)10.1109/CCNC49032.2021.9369578(1-9)Online publication date: 9-Jan-2021
https://doi.org/10.1109/CCNC49032.2021.9369578
Kang MSeo DChung Y(2020)An Efficient Delay Tolerant Networks Routing Protocol for Information-Centric NetworkingElectronics10.3390/electronics90508399:5(839)Online publication date: 19-May-2020
https://doi.org/10.3390/electronics9050839
Sterz ABaumgartner LHochst JLampe PFreisleben B(2019)OPPLOAD: Offloading Computational Workflows in Opportunistic Networks2019 IEEE 44th Conference on Local Computer Networks (LCN)10.1109/LCN44214.2019.8990775(381-388)Online publication date: Oct-2019
https://doi.org/10.1109/LCN44214.2019.8990775
Baumgartner LHochst JMeuser T(2019)B-DTN7: Browser-based Disruption-tolerant Networking via Bundle Protocol 72019 International Conference on Information and Communication Technologies for Disaster Management (ICT-DM)10.1109/ICT-DM47966.2019.9032944(1-8)Online publication date: Dec-2019
https://doi.org/10.1109/ICT-DM47966.2019.9032944

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