Geospatial Division Based Geographic Routing for Interference Avoidance in Underwater WSNs

Part of the EAI/Springer Innovations in Communication and Computing book series (EAISICC)


In underwater wireless sensor networks (UWSNs), geographic routing paradigm seems promising choice for data transmission in severely limited acoustic communication channel conditions. The main challenge of geographic routing in sparse network conditions is communication void. In this context, we propose geospatial division based geo-opportunistic routing scheme for interference avoidance (GDGOR-IA) focusing on interference in the network. The scheme is twofold, selection of target cube and selection of optimal next hop forwarder node in the target cube.


  1. 1.
    Akyildiz, I. F., Pompili, D., & Melodia, T. (2005). Underwater acoustic sensor networks: Research challenges. Ad Hoc Network, 3(3), 257–279.CrossRefGoogle Scholar
  2. 2.
    Hong, X., Xu, K., & Gerla, M. (2002). Scalable routing protocols for mobile ad hoc networks. IEEE Network, 16(4), 11–21.CrossRefGoogle Scholar
  3. 3.
    Souiki, S., Feham, M., Feham, M., & Labraoui, N. (2014). Geographic routing protocols for underwater wireless sensor networks: A survey. International Journal of Wireless & Mobile Networks, 6(1), 69–87.CrossRefGoogle Scholar
  4. 4.
    Hai, Y., Jerry Shi, Z., & Cui, J.-H. (2008). DBR: Depth-based routing for underwater sensor networks. In International Conference on Research in Networking (pp. 72–86). Berlin: Springer.Google Scholar
  5. 5.
    Jafri, M. R., Muhammad M. S., Kamran L., Zahoor A. K., Ansar Ul H. Y., & Nadeem J. (2014). Towards delay-sensitive routing in underwater wireless sensor networks. Precedia Computer Science, 37, 228–235.CrossRefGoogle Scholar
  6. 6.
    Ayaz, M., Azween A., Ibrahima F., & Yasir B. (2012). An efficient dynamic addressing based routing protocol for underwater wireless sensor networks. Computer Communications, 35(4), 475–486.CrossRefGoogle Scholar
  7. 7.
    Li, Z., Nianmin, Y., & Qin, G. (2014). Relative distance based forwarding protocol for underwater wireless networks. International Journal of Distributed Sensor Networks, 10(2), 173089.CrossRefGoogle Scholar
  8. 8.
    Dhurandher, S. K., Mohammad S. O., & Megha G. (2010). A novel geocast technique with hole detection in underwater sensor networks. In Computer Systems and Applications (AICCSA), 2010 IEEE/ACS International Conference on IEEE, 2010, pp. 1–8.Google Scholar
  9. 9.
    Guo, Z., Gioele, C., Bing, W., Jun-Hong, C., Dario, M., & Gian, P. R. (2008). Adaptive routing in underwater delay/disruption tolerant sensor networks. In Wireless on Demand Network Systems and Services, 31–39Google Scholar
  10. 10.
    Ali, T., Low, T. J., & Ibrahim, F. (2014). Diagonal and vertical routing protocol for underwater wireless sensor network. Procedia-Social and Behavioral Sciences, 129, 372–379.CrossRefGoogle Scholar

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© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.COMSATS Institute of Information TechnologyIslamabadPakistan
  2. 2.University of Engineering & TechnologyPeshawarPakistan
  3. 3.Capital University of Science and TechnologyIslamabadPakistan
  4. 4.Career Dynamics Research CenterPeshawarPakistan
  5. 5.Iqra National UniversityPeshawarPakistan

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