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GRAPEVINE: hybrid cooperative opportunistic routing for challenged wireless networks using fountain coding

Published: 12 July 2013 Publication History

Abstract

This paper present Grapevine, a wireless networking protocol designed to be used in challenged environments such an emergency response network. These environments typically experience a lot of noise, interference, disconnections and high mobility resulting in high packet loss rates. As often critical data needs to be disseminated to other nodes it is important to have a protocol that efficiently delivers data under these conditions, but which is also efficient under good conditions. Grapevine uses to fountain coding to opportunistically and cooperatively to efficiently delivers data in high throughput wireless multi hop networks, as well as lossy and delay tolerant networks. Results show that our flooding based protocol is more efficient than traditional protocols in lossy networks both in terms of lower delay and lower overhead.

References

[1]
E. Altman, F. De Pellegrini, and L. Sassatelli. Dynamic control of coding in delay tolerant networks. In Proceedings of the 29th conference on Information communications, INFOCOM' 10, pages 121--125, Piscataway, NJ, USA, 2010. IEEE Press.
[2]
R. Bellman. On a routing problem. In Quarterly of Applied Mathematics 16: 87-90, 1958.
[3]
D. Bradler, B. Schiller, and E. Aitenbichler. Towards a distributed crisis response communication system. In Proceedings of ISCRAM, 2009.
[4]
B. Braunstein, T. Trimble, R. Mishra, B. S. Manoj, R. Rao, and L. Lenert. Feasibility of using distributed wireless mesh networks for medical emergency response. In Proceedings of AMIA, 2006.
[5]
R. Bruno, M. Conti, and A. Passarella. Opportunistic networking overlays for ict services in crisis management. In Proceedings of International Conference on Information Systems for Crisis Response and Management ISCRAM 2008, May 2008.
[6]
J. Burgess, B. Gallagher, D. Jensen, and B. Levine. Maxprop: Routing for vehicle-based disruption-tolerant networks. In Proceedings of INFOCOM, 2006.
[7]
S. D. C. Perkins, E. Belding-Royer. Ad hoc on demand distance vector routing. In RFC 3561: http://www.ietf.org/rfc/rfc3561.txt, 2003.
[8]
R. Carella and S. McGrath. ARTEMIS personal area networks for emergency remote triage and information management. Proceedings of ISCRAM, 2006.
[9]
S. Chachulski, M. Jennings, S. Katti, and D. Katabi. More: A network coding approach to opportunistic routing. Technical report, CSAIL, MIT, 2006.
[10]
B. Chen, G. Peterson, G. Mainland, and M. Welsh. Livenet: Using passive monitoring to reconstruct sensor network dynamics. Distributed Computing in Sensor Systems, pages 79--98, 2008.
[11]
O. Chipara, W. G. Griswold, A. N. Plymoth, R. Huang, F. Liu, P. Johansson, R. Rao, T. C. Chan, and C. Buono. Wiisard: A measurement study of network properties and protocol reliability during an emergency response. In Proceedings of MobiSys, 2012.
[12]
J. Chroboczek. The babel routing protocol. In RFC 6126: http://www.ietf.org/rfc/rfc6126.txt, 2011.
[13]
D. S. J. D. Couto. High-throughput routing for multi-hop wireless networks. Technical report, PH.D. THESIS, MIT, 2004.
[14]
R. Dilmaghani and R. Rao. An Ad Hoc Network Infrastructure: Communication and Information Sharing for Emergency Response. In Proceedings of WIMOB, 2008.
[15]
R. Dilmaghani and R. Rao. A wireless mesh infrastructure deployment with application for emergency scenarios. In Proceedings of ISCRAM, May 2008.
[16]
F. Dong, Y. Hu, M. Tong, and X. Ran. Supporting emergency service by retasking delaytolerant network architecture. In Proceedings of 5th International Conference Mobile Ad-hoc and Sensor Networks, December 2009.
[17]
T. Gao, T. Massey, L. Selavo, D. Crawford, B.-r. Chen, K. Lorincz, V. Shnayder, L. Hauenstein, F. Dabiri, J. Jeng, A. Chanmugam, D. White, M. Sarrafzadeh, and M. Welsh. The Advanced Health and Disaster Aid Network: A Light- Weight Wireless Medical System for Triage. IEEE Transactions on Biomedical Circuits and Systems, 1(3):203--216, 2007.
[18]
S. George, W. Zhou, H. Chenji, M. Won, Y. O. Lee, A. Pazarloglou, R. Stoleru, and P. Barooah. DistressNet: a wireless ad hoc and sensor network architecture for situation management in disaster response. IEEE Communications Magazine, 48(3):128--136, 2010.
[19]
U. Lee, J.-S. Park, J. Yeh, G. Pau, and M. Gerla. Code torrent: content distribution using network coding in vanet. In Proceedings of the 1st international workshop on Decentralized resource sharing in mobile computing and networking, MobiShare '06, pages 1--5, New York, NY, USA, 2006. ACM.
[20]
L. A. Lenert, D. Kirsh, W. G. Griswold, C. Buono, J. Lyon, R. Rao, and T. C. Chan. Design and evaluation of a wireless electronic health records system for field care in mass casualty settings. Journal of American Medical Informatics Association, 18(6):842--852, 2011.
[21]
P. Levis, N. Patel, D. Culler, and S. Shenker. Trickle: a self-regulating algorithm for code propagation and maintenance in wireless sensor networks. In Proceedings of NSDI, 2004.
[22]
K. Lorincz, D. J. Malan, T. R. F. Fulford-Jones, A. Nawoj, A. Clavel, V. Shnayder, G. Mainland, and M. Welsh. Sensor networks for emergency response: Challenges and opportunities. IEEE Pervasive Computing, Sep 2004.
[23]
K. Lorincz and M. Welsh. Motetrack: A robust, decentralized location tracking system for disaster response, 2004.
[24]
M. Luby. Lt-codes. In Proceedings of the ACM Symposium on Foundations of Computer Science (FOCS), 2002.
[25]
S. F. Midkiff and C.W. Bostian. Mikobos - a mobile information and communication system for emergency response. In Proceedings of ISCRAM 2006, Third International Conference on Information Systems for Crisis Response and Management, Newark/USA, May 2006.
[26]
S. Pavlopoulos, E. Kyriacou, A. Berler, S. Dembeyiotis, and D. Koutsouris. A novel emergency telemedicine system based on wireless communication technology-ambulance. Information Technology in Biomedicine, IEEE Transactions on, 2(4):261--267, 1998.
[27]
C. E. Perkins and P. Bhagwat. Highly dynamic destination-sequenced distance-vector routing (dsdv) for mobile computers. In Proceedings of the conference on Communications architectures, protocols and applications, SIGCOMM'94, pages 234--244, New York, NY, USA, 1994. ACM.
[28]
A. Plymoth. A cross layer protocol with hybridmulti channel mc-cdma/ofdma. In Telecommunications (ICT), 2010 IEEE 17th International Conference on, pages 771--778. IEEE, 2010.
[29]
A. Plymoth, A. Bhorkar, and P. Johansson. Common opportunistic routing and forwarding. In Vehicular Technology Conference (VTC 2010-Spring), 2010 IEEE 71st, pages 1--5. IEEE, 2010.
[30]
A. N. Plymoth, U. Krner, and P. Johansson. Urban mesh and ad hoc mesh networks. International Journal of Network Management, 18(2):107--127, 2008.
[31]
Raytheon. Emergency Patient Tracking System (EPTS). In www.raytheon.com/capabilities/products/epts.
[32]
P. J. T. Clausen. Optimized link state routing protocol (olsr). In RFC 3626: http://www.ietf.org/rfc/rfc3626.txt, 2003.
[33]
H. Welte. The netfilter framework in linux 2.4. In Proceedings of Linux Kongress, 2000.
[34]
X. Zhao, A. Rafiq, R. Hummel, D.-Y. Fei, and R. C. Merrell. Integration of information technology, wireless networks, and personal digital assistants for triage and casualty. Journal of Telemedicine and E-Health, 12(4):466--474, 2006.

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  • (2019)Resilient Network Advanced Testbed (RESINATE) – A Radio Frequency/Optical Communications and Networking Testbed2019 IEEE Aerospace Conference10.1109/AERO.2019.8741758(1-17)Online publication date: Mar-2019
  1. GRAPEVINE: hybrid cooperative opportunistic routing for challenged wireless networks using fountain coding

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      cover image ACM SIGMOBILE Mobile Computing and Communications Review
      ACM SIGMOBILE Mobile Computing and Communications Review  Volume 17, Issue 1
      January 2013
      75 pages
      ISSN:1559-1662
      EISSN:1931-1222
      DOI:10.1145/2502935
      Issue’s Table of Contents

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 12 July 2013
      Published in SIGMOBILE Volume 17, Issue 1

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      • (2019)Resilient Network Advanced Testbed (RESINATE) – A Radio Frequency/Optical Communications and Networking Testbed2019 IEEE Aerospace Conference10.1109/AERO.2019.8741758(1-17)Online publication date: Mar-2019

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