Advertisement

Two Hop Adaptive Routing Protocol for Underwater Wireless Sensor Networks

Conference paper
  • 1.4k Downloads
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 612)

Abstract

Underwater wireless sensor networks (UWSNs) facilitate a wide range of aquatic applications in many domains. However, harsh underwater environment poses challenges like low bandwidth, long propagation delay, high bit error rate, etc. Node mobility and uneven distribution of sensor nodes create void holes in UWSNs. Avoiding void hole creation benefits in many ways: it is mandatory to avoid void hole creation for better coverage over an area, less energy consumption in the network and high throughput. In such conditions, minimization of void hole probability in locally sparse regions is focused in this paper. Two hop adaptive vector based forwarding (2hop-AHH-VBF) routing protocol selects forwarder based on two hop potential neighbor number information. Meeting the void holes during forwarding path is significantly reduced in this way. Moreover, successful transmissions guarantee reliable packet delivery and reduced energy tax. Simulation results verify that proposed scheme outperforms in packet delivery ratio and energy tax while compared with AHH-VBF.

Keywords

Underwater Wireless Sensor Networks (UWSNs) Void Hole Vector Based Forwarding (VBF) Potential Neighbors Packet Delivery Ratio (PDR) 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. 1.
    Azam, I., Majid, A., Ahmad, I., Shakeel, U., Maqsood, H., Khan, Z.A., Qasim, U., Javaid, N.: SEEC: sparsity-aware energy efficient clustering protocol for underwater wireless sensor networks. In: 2016 IEEE 30th International Conference on Advanced Information Networking and Applications (AINA), pp. 352–361. IEEE (2016)Google Scholar
  2. 2.
    Ghoreyshi, S.M., Shahrabi, A., Boutaleb, T.: Void-handling techniques for routing protocols in underwater sensor networks: survey and challenges: survey and challenges. IEEE Commun. Surv. Tutorials 19(2), 800–827 (2017)CrossRefGoogle Scholar
  3. 3.
    Yan, H., Shi, Z.J., Cui, J.-H.: DBR: depth-based routing for underwater sensor networks. In: International Conference on Research in Networking, pp. 72–86. Springer, Heidelberg (2008)Google Scholar
  4. 4.
    Yu, H., Yao, N., Wang, T., Li, G., Gao, Z., Tan, G.: WDFAD-DBR: weighting depth and forwarding area division DBR routing protocol for UASNs. Ad Hoc Netw. 37, 256–282 (2016)CrossRefGoogle Scholar
  5. 5.
    Majid, A., Azam, I., Khan, T., Khan, Z.A., Qasim, U., Javaid, N.: A reliable and interference-aware routing protocol for underwater wireless sensor networks. In: 2016 10th International Conference on Complex, Intelligent, and Software Intensive Systems (CISIS), pp. 246–255. IEEE (2016)Google Scholar
  6. 6.
    Xie, P., Cui, J.-H., Lao, L.: VBF: vector-based forwarding protocol for underwater sensor networks. In: International Conference on Research in Networking, pp. 1216–1221. Springer, Heidelberg (2006)Google Scholar
  7. 7.
    Xie, P., Zhou, Z., Nicolaou, N., See, A., Cui, J.-H., Shi, Z.: Efficient vector-based forwarding for underwater sensor networks. EURASIP J. Wirel. Commun. Netw. 2010(1), 195910 (2010)CrossRefGoogle Scholar
  8. 8.
    Yu, H., Yao, N., Liu, J.: An adaptive routing protocol in underwater sparse acoustic sensor networks. Ad Hoc Netw. 34, 121–143 (2015)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  1. 1.COMSATS Institute of Information TechnologyIslamabadPakistan
  2. 2.Computer Information Science, Higher Colleges of TechnologyFujairahUnited Arab Emirates
  3. 3.Cameron LibraryUniversity of AlbertaEdmontonCanada

Personalised recommendations