Research on Decentralized Message Broadcasting for Multi-emergent Events

  • Haoming Guo
  • Feng Liang
  • Yunzhen Liu
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7030)


Many emergency information systems are built on decentralized architectures for time efficiency. Due to lack of centralized information analyzing, message loop and identity confusion affect their performance. An approach called Decentralized Message Broadcasting Process is introduced to address the issue. In the approach, messages are specified to carry information about source event and node path it has been passed through. Distributed nodes are involved initiatively to organize message exchange. In the decentralized message broadcasting, time efficiency and message filtering is achieved. Upon the approach, a platform is built for CEA’ SPON to support decentralized emergency information processing applications.


Decentralized System Message Exchange Sensor IOT 


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  1. 1.
    Chaouchi, H.: The Internet of Things: Connecting Objects. In: Wiley-ISTE (2010)Google Scholar
  2. 2.
    Yan, L., Zhang, Y., Yang, L.T., Ning, H.: The Internet of Things: From RFID to the Next-Generation Pervasive Networked Systems (Wireless Networks and Mobile Communications) Auerbach Publications (2008)Google Scholar
  3. 3.
    Hu, W., Bulusu, N., Chou, C.T., Jha, S., Taylor, A., Tran, V.N.: Design and evaluation of a hybrid sensor network for cane toad monitoring. ACM Trans. Sen. Netw. 5, 1–28 (2009)CrossRefGoogle Scholar
  4. 4.
    Schelp, J., Winter, R.: Business application design and enterprise service design: a comparison. International Journal of Services Sciences 1, 206–224 (2008)CrossRefGoogle Scholar
  5. 5.
    Demirkan, H., Kauffman, R.J., Vayghan, J.A., Fill, H.-G., Karagiannis, D., Maglio, P.P.: Service-oriented technology and management: Perspectives on research and practice for the coming decade. Electronic Commerce Research and Applications 7(4), 356–376 (2008)CrossRefGoogle Scholar
  6. 6.
    Papazoglou, M.P., Van Den Heuvel, W.-J.: Service-oriented design and development methodology. International Journal of Web Engineering and Technology 2(4), 412–442 (2006)CrossRefGoogle Scholar
  7. 7.
    Yucek, T., Arslan, H.: A survey of spectrum sensing algorithms for cognitive radio applications. Communications Surveys & Tutorials 11(1), 116–130 (2009)CrossRefGoogle Scholar
  8. 8.
    Jovanovic, M.A.: Modeling Large-scale Peer-to-Peer Networks and a Case Study of Gnutella. MS, University of Cincinnati (2001)Google Scholar
  9. 9.
    Zhuang, L., Pan, C.-J., Guo, Y.-Q., Wang, C.-Y.: Connection Management Based on Gnutella Network. Ruan Jian Xue Bao 16(1), 158–164 (2005)zbMATHGoogle Scholar
  10. 10.
    Baker, M.C., Cheung, R.Y.M., Bhattacharya, P.P., Kobo, R.M., Kolbe, E.M., Naghshineh, M.: Broadcast/multicast filtering by the bridge-based access point. Application Number:08/443793 (1996)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Haoming Guo
    • 1
  • Feng Liang
    • 1
  • Yunzhen Liu
    • 1
  1. 1.Computer SchoolBeihang UniversityHaidian districtChina

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