A Geographic QoS Peer–to–Peer Streaming Framework for High–Quality Transmission of Multimedia Content over Wireless Mesh Networks in Disaster Recovery Scenarios

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The use of mobile devices capable of wireless communications such as mobile phones, PDAs, and laptops in disaster recovery has been an important research topic for several years. However, while the majority of previous research has focused on voice and data communications a small number of researchers have proposed the use of multimedia content in aiding with patient diagnosis. Disaster recovery environments often have no or very limited communications infrastructure which poses a challenge to any communications system and makes the delivery of high-quality multimedia content extremely difficult. In order to ensure high-quality sharing of multimedia content between emergency teams a framework that is resilient, reliable, capable of handling dynamic behavior and able to handle multimedia traffic must be devised. This paper proposes a framework that combines peer-to-peer (p2p) streaming, Quality of Service (QoS) predictions, and geographic routing over WiFi wireless mesh networks to transmit high-quality multimedia content between early response teams in disaster recovery scenarios.
LanguageEnglish
Title of host publicationUnknown Host Publication
Number of pages6
Publication statusPublished - 27 Jun 2011
Event12th Annual Post–Graduate Symposium on the convergence of Telecommunications, Networking & Broadcasting (PGNet 2011) - John Moores University, Liverpool
Duration: 27 Jun 2011 → …

Conference

Conference12th Annual Post–Graduate Symposium on the convergence of Telecommunications, Networking & Broadcasting (PGNet 2011)
Period27/06/11 → …

Fingerprint

Wireless mesh networks (WMN)
Disasters
Quality of service
Recovery
Voice/data communication systems
Communication
Personal digital assistants
Mobile phones
Mobile devices
Communication systems

Keywords

  • geographic routing
  • mesh networks
  • multimedia streaming
  • quality of service (QoS)
  • P2P

Cite this

@inproceedings{bf6466bff41243d7af6bca6e0aa55056,
title = "A Geographic QoS Peer–to–Peer Streaming Framework for High–Quality Transmission of Multimedia Content over Wireless Mesh Networks in Disaster Recovery Scenarios",
abstract = "The use of mobile devices capable of wireless communications such as mobile phones, PDAs, and laptops in disaster recovery has been an important research topic for several years. However, while the majority of previous research has focused on voice and data communications a small number of researchers have proposed the use of multimedia content in aiding with patient diagnosis. Disaster recovery environments often have no or very limited communications infrastructure which poses a challenge to any communications system and makes the delivery of high-quality multimedia content extremely difficult. In order to ensure high-quality sharing of multimedia content between emergency teams a framework that is resilient, reliable, capable of handling dynamic behavior and able to handle multimedia traffic must be devised. This paper proposes a framework that combines peer-to-peer (p2p) streaming, Quality of Service (QoS) predictions, and geographic routing over WiFi wireless mesh networks to transmit high-quality multimedia content between early response teams in disaster recovery scenarios.",
keywords = "geographic routing, mesh networks, multimedia streaming, quality of service (QoS), P2P",
author = "Fraser Cadger and K Curran and JA Santos and Sandra Moffett",
note = "Reference text: [1] M. Portmann and A.A. Pirzada, “Wireless Mesh Networks for Public Safety and Crisis Management Applications,” IEEE Internet Computing, Vol. 12, Jan. 2008, pp. 18-25. [2] F. Bergstrand and J. Landgren, “Information sharing using live video in emergency response work,” Proceeding of the 6th international ISCRAM conference. Gothenburg: ISCRAM, 2009. [3] D.H. Sonnenwald, H.M. S{\"o}derholm, J.E. Manning, B. Cairns, G. Welch, and H. Fuchs, “Exploring the Potential of Video Technologies for Collaboration in Emergency Medical Care : Part I . Information Sharing,” Journal of the American Society for Information Science, vol. 59, 2008, pp. 2320-2334. [4] M. Mushtaq and T. Ahmed, “P2P-based mobile IPTV: Challenges and opportunities,” Computer Systems and Applications, 2008. AICCSA 2008. IEEE/ACS International Conference on, 2008. [5] H.N. Chan, K.N. Van, and G.N. Hoang, “Characterizing Chord, Kelips and Tapestry algorithms in P2P streaming apps over wireless network,” 2008 Second Int Conference on Communications and Electronics, June 2008, pp. 126-131. [6] I.M. Moraes, M.E.M. Campista, L.H.M.K. Costa, O.C.M.B. Duarte, J.L. Duarte, D.G. Passos, C.V.N. de Albuquerque, and M.G. Rubinstein, “On the impact of user mobility on peer-to-peer video streaming,” Wireless Communications, IEEE, vol. 15, 2008, pp. 54-62. [7] I. Stojmenovic, M. Russell, and B. Vukojevic, “Depth first search and location based localized routing and QoS routing in wireless networks,” Parallel Processing, 2000. Proceedings. 2000 International Conference on, IEEE, 2002, p. 173–180. [8] Y.-B. Ko and N.H. Vaidya, “Geocasting in mobile ad hoc networks: location-based multicast algorithms,” Proceedings WMCSA99. Second IEEE Workshop on Mobile Computing Systems and Applications, 1999, pp. 101-110. [9] H.R. Maamar, R.W. Pazzi, A. Boukerche, and E. Petriu, “A supplying partner strategy for mobile networks-based 3D streaming - proof of concept,” Parallel Distributed Processing, Workshops and Phd Forum (IPDPSW), 2010 IEEE International Symposium on, 2010, pp. 1-6. [10] ] T.-yu Wu and H.-L. Chan, “Integrate Airtime Metric and Geocast over P2P-Based VoD Streaming Cache,” Tamkang Journal of Science and Engineering, vol. 13, 2010, pp. 99-106. [11] S. Ratnasamy, B. Karp, L. Yin, F. Yu, D. Estrin, R. Govindan, and S. Shenker, “GHT: a geographic hash table for data-centric storage,” Proceedings of the 1st ACM international workshop on Wireless sensor networks and applications, New York, NY, USA: ACM, 2002, pp. 78-87. [12] B. Karp and H. Kung, “GPSR: greedy perimeter stateless routing for wireless networks,” Proceedings of the 6th annual international conference on Mobile computing and networking, ACM, 2000, p. 243–254.. [13] S.H. Shah and K. Nahrstedt, “Predictive location-based QoS routing in mobile ad hoc networks,” 2002 IEEE International Conference on Communications. Conference Proceedings. ICC 2002 (Cat. No.02CH37333), pp. 1022-1027. [14] Q. Chen, S. Kanhere, M. Hassan, and K.-chan Lan, “Adaptive Position Update in Geographic Routing,” 2006 IEEE International Conference on Communications, vol. 00, Jun. 2006, pp. 4046-4051. [15] A. Foka and P. Trahanias, “Probabilistic Autonomous Robot Navigation in Dynamic Environments with Human Motion Prediction,” International Journal of Social Robotics, vol. 2, 2010, pp. 79-94. [16] I. Halatci, C.A. Brooks and K. Iagnemma (2008).” A study of visual and tactile terrain classification and classifier fusion for planetary exploration rovers”. Robotica, 26, pp 767-779 [17] K. Fall and K. Varadhan, “The ns Manual (formerly ns Notes and Documentation),” Jan. 2009",
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Cadger, F, Curran, K, Santos, JA & Moffett, S 2011, A Geographic QoS Peer–to–Peer Streaming Framework for High–Quality Transmission of Multimedia Content over Wireless Mesh Networks in Disaster Recovery Scenarios. in Unknown Host Publication. 12th Annual Post–Graduate Symposium on the convergence of Telecommunications, Networking & Broadcasting (PGNet 2011), 27/06/11.

A Geographic QoS Peer–to–Peer Streaming Framework for High–Quality Transmission of Multimedia Content over Wireless Mesh Networks in Disaster Recovery Scenarios. / Cadger, Fraser; Curran, K; Santos, JA; Moffett, Sandra.

Unknown Host Publication. 2011.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - A Geographic QoS Peer–to–Peer Streaming Framework for High–Quality Transmission of Multimedia Content over Wireless Mesh Networks in Disaster Recovery Scenarios

AU - Cadger, Fraser

AU - Curran, K

AU - Santos, JA

AU - Moffett, Sandra

N1 - Reference text: [1] M. Portmann and A.A. Pirzada, “Wireless Mesh Networks for Public Safety and Crisis Management Applications,” IEEE Internet Computing, Vol. 12, Jan. 2008, pp. 18-25. [2] F. Bergstrand and J. Landgren, “Information sharing using live video in emergency response work,” Proceeding of the 6th international ISCRAM conference. Gothenburg: ISCRAM, 2009. [3] D.H. Sonnenwald, H.M. Söderholm, J.E. Manning, B. Cairns, G. Welch, and H. Fuchs, “Exploring the Potential of Video Technologies for Collaboration in Emergency Medical Care : Part I . Information Sharing,” Journal of the American Society for Information Science, vol. 59, 2008, pp. 2320-2334. [4] M. Mushtaq and T. Ahmed, “P2P-based mobile IPTV: Challenges and opportunities,” Computer Systems and Applications, 2008. AICCSA 2008. IEEE/ACS International Conference on, 2008. [5] H.N. Chan, K.N. Van, and G.N. Hoang, “Characterizing Chord, Kelips and Tapestry algorithms in P2P streaming apps over wireless network,” 2008 Second Int Conference on Communications and Electronics, June 2008, pp. 126-131. [6] I.M. Moraes, M.E.M. Campista, L.H.M.K. Costa, O.C.M.B. Duarte, J.L. Duarte, D.G. Passos, C.V.N. de Albuquerque, and M.G. Rubinstein, “On the impact of user mobility on peer-to-peer video streaming,” Wireless Communications, IEEE, vol. 15, 2008, pp. 54-62. [7] I. Stojmenovic, M. Russell, and B. Vukojevic, “Depth first search and location based localized routing and QoS routing in wireless networks,” Parallel Processing, 2000. Proceedings. 2000 International Conference on, IEEE, 2002, p. 173–180. [8] Y.-B. Ko and N.H. Vaidya, “Geocasting in mobile ad hoc networks: location-based multicast algorithms,” Proceedings WMCSA99. Second IEEE Workshop on Mobile Computing Systems and Applications, 1999, pp. 101-110. [9] H.R. Maamar, R.W. Pazzi, A. Boukerche, and E. Petriu, “A supplying partner strategy for mobile networks-based 3D streaming - proof of concept,” Parallel Distributed Processing, Workshops and Phd Forum (IPDPSW), 2010 IEEE International Symposium on, 2010, pp. 1-6. [10] ] T.-yu Wu and H.-L. Chan, “Integrate Airtime Metric and Geocast over P2P-Based VoD Streaming Cache,” Tamkang Journal of Science and Engineering, vol. 13, 2010, pp. 99-106. [11] S. Ratnasamy, B. Karp, L. Yin, F. Yu, D. Estrin, R. Govindan, and S. Shenker, “GHT: a geographic hash table for data-centric storage,” Proceedings of the 1st ACM international workshop on Wireless sensor networks and applications, New York, NY, USA: ACM, 2002, pp. 78-87. [12] B. Karp and H. Kung, “GPSR: greedy perimeter stateless routing for wireless networks,” Proceedings of the 6th annual international conference on Mobile computing and networking, ACM, 2000, p. 243–254.. [13] S.H. Shah and K. Nahrstedt, “Predictive location-based QoS routing in mobile ad hoc networks,” 2002 IEEE International Conference on Communications. Conference Proceedings. ICC 2002 (Cat. No.02CH37333), pp. 1022-1027. [14] Q. Chen, S. Kanhere, M. Hassan, and K.-chan Lan, “Adaptive Position Update in Geographic Routing,” 2006 IEEE International Conference on Communications, vol. 00, Jun. 2006, pp. 4046-4051. [15] A. Foka and P. Trahanias, “Probabilistic Autonomous Robot Navigation in Dynamic Environments with Human Motion Prediction,” International Journal of Social Robotics, vol. 2, 2010, pp. 79-94. [16] I. Halatci, C.A. Brooks and K. Iagnemma (2008).” A study of visual and tactile terrain classification and classifier fusion for planetary exploration rovers”. Robotica, 26, pp 767-779 [17] K. Fall and K. Varadhan, “The ns Manual (formerly ns Notes and Documentation),” Jan. 2009

PY - 2011/6/27

Y1 - 2011/6/27

N2 - The use of mobile devices capable of wireless communications such as mobile phones, PDAs, and laptops in disaster recovery has been an important research topic for several years. However, while the majority of previous research has focused on voice and data communications a small number of researchers have proposed the use of multimedia content in aiding with patient diagnosis. Disaster recovery environments often have no or very limited communications infrastructure which poses a challenge to any communications system and makes the delivery of high-quality multimedia content extremely difficult. In order to ensure high-quality sharing of multimedia content between emergency teams a framework that is resilient, reliable, capable of handling dynamic behavior and able to handle multimedia traffic must be devised. This paper proposes a framework that combines peer-to-peer (p2p) streaming, Quality of Service (QoS) predictions, and geographic routing over WiFi wireless mesh networks to transmit high-quality multimedia content between early response teams in disaster recovery scenarios.

AB - The use of mobile devices capable of wireless communications such as mobile phones, PDAs, and laptops in disaster recovery has been an important research topic for several years. However, while the majority of previous research has focused on voice and data communications a small number of researchers have proposed the use of multimedia content in aiding with patient diagnosis. Disaster recovery environments often have no or very limited communications infrastructure which poses a challenge to any communications system and makes the delivery of high-quality multimedia content extremely difficult. In order to ensure high-quality sharing of multimedia content between emergency teams a framework that is resilient, reliable, capable of handling dynamic behavior and able to handle multimedia traffic must be devised. This paper proposes a framework that combines peer-to-peer (p2p) streaming, Quality of Service (QoS) predictions, and geographic routing over WiFi wireless mesh networks to transmit high-quality multimedia content between early response teams in disaster recovery scenarios.

KW - geographic routing

KW - mesh networks

KW - multimedia streaming

KW - quality of service (QoS)

KW - P2P

M3 - Conference contribution

SN - 978–1–902560–25–0

BT - Unknown Host Publication

ER -