Advertisement

Distributed Distance Sensitive iMesh Based Service Discovery in Dense WSAN

  • Milan Lukic
  • Ivan Mezei
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7363)

Abstract

We investigated performance of localized distance-sensitive service discovery algorithm iMesh, which generates information structure in static network, to store the information about nearby actors (service providers). In a network with grid structure, this is achieved by advertising service provider positions in four geographical directions. The propagation of information about remote service providers is restricted by a blocking rule, to reduce the message overhead and provide distance sensitivity. A node requiring service (service consumer) conducts lookup process to obtain information about nearby service providers from the iMesh structure. We modified iMesh to enable its use in dense networks with topologies other than grid by introducing iMesh areas instead of iMesh edges. Our simulations compare performance of modified iMesh with another localized service discovery scheme (quorum) in dense networks with random topologies. We show that iMesh finds the nearest service provider in >95% of cases. It significantly decreases the message overhead compared to quorum, without compromising quality of service discovery.

Keywords

service discovery localized algorithm wireless sensor and actor networks iMesh 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Li, X., Santoro, N., Stojmenovic, I.: Localized Distance-Sensitive Service Discovery in Wireless Sensor and Actor Networks. IEEE Transactions on Computers 58(9), 1275–1288 (2009)MathSciNetCrossRefGoogle Scholar
  2. 2.
    Stojmenovic, I., Liu, D., Jia, X.: A scalable quorum based location service in ad hoc and sensor networks. International Journal of Communication Networks and Distributed Systems 1(1) (2008) (invited paper)Google Scholar
  3. 3.
    Nayak, A., Stojmenovic, I.: Wireless Sensor and Actuator Networks - Algorithms and Protocols for Scalable Coordination and Data Communication. John Wiley & Sons, ISBN-13: 978-0-470-17082-3Google Scholar
  4. 4.
    Bose, P., Morin, P., Stojmenovic, I., Urrutia, J.: Routing with guaranteed delivery in ad hoc wireless networks. ACM Wireless Networks 7(6), 609–616 (2001)zbMATHCrossRefGoogle Scholar
  5. 5.
    Noor Mian, A., Baldoni, R., Beraldi, R.: A Survey of Service Discovery Protocols in Multihop Mobile Ad Hoc Networks. IEEE Pervasive Computing 8(1), 66–74 (2009)CrossRefGoogle Scholar
  6. 6.
    Ververidis, G., Polyzos, C.: Service discovery for mobile Ad Hoc networks: a survey of issues and techniques. IEEE Communications Surveys & Tutorials 10(3), 30–45 (2008)CrossRefGoogle Scholar
  7. 7.
    Aydin, I., Shen, C.C.: Facilitating match-making service in ad hoc and sensor networks using pseudo quorum. In: IEEE ICCCN (2002)Google Scholar
  8. 8.
    Sarkar, R., Zhu, X., Gao, J.: Double rulings for information brokerage in sensor networks. IEEE/ACM Trans. Netw. 17(6), 1902–1915 (2009)CrossRefGoogle Scholar
  9. 9.
    Funke, S., Guibas, L.J., Nguyen, A., Wang, Y.: Distance-Sensitive Information Brokerage in Sensor Networks. In: Gibbons, P.B., Abdelzaher, T., Aspnes, J., Rao, R. (eds.) DCOSS 2006. LNCS, vol. 4026, pp. 234–251. Springer, Heidelberg (2006)CrossRefGoogle Scholar
  10. 10.
    Li, J., Jannotti, J., Couto, D.S.J.D., Karger, D.R., Morris, R.: A Scalable Location Service for Geographic Ad Hoc Routing. In: Proc. ACM MobiCom, pp. 120–130 (2000)Google Scholar
  11. 11.
    Ratnasamy, S., Karp, B., Yin, L., Yu, F.: GHT: A Geographic Hash Table for Data-Centric Storage. In: Proc. Intl Workshop on Wireless Sensor Networks and Applications, WSNA, pp. 78–87 (2002)Google Scholar
  12. 12.
    Tchakarov, J.B., Vaidya, N.H.: Efficient Content Location in Wireless Ad Hoc Networks. In: Proc. IEEE Intl Conf. Mobile Data Management, MDM, pp. 74–85 (2004)Google Scholar
  13. 13.
    Fang, Q., Gao, J., Guibas, L.J.: Landmark-Based Information Storage and Retrieval in Sensor Networks. In: Proc. IEEE INFOCOM, pp. 286–297 (2006)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Milan Lukic
    • 1
  • Ivan Mezei
    • 1
  1. 1.Faculty of Techhnical SciencesUniversity of Novi SadNovi SadSerbia

Personalised recommendations