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abstract

Adaptive Holding time and Depth-Based Routing for UWSN

Published: 05 December 2017 Publication History

Abstract

In Underwater Wireless Sensor Networks (UWSNs), traditional enhancements of Depth-Based Routing (DBR) scheme rely either on increasing the network overhead or on the adoption of offline localization schemes to improve the network performance in terms of energy consumption, end-to-end delay or network throughput. Unfortunately, localization based techniques are very hard to implement in practice. In this work we show some preliminary results about the performance of a routing scheme called Adaptive Holding time and Depth-based routing (AHD) that we propose to dynamically adapt DBR configuration parameters. Specifically, we show a set of simulation experiments that suggest that networks implementing AHD show a reduced energy consumption with respect to those implementing the standard version of DBR. Simulations are performed by using our simulation library [8] of DBR [11] developed for the simulator AquaSim-Next Generation (NG) underwater simulator, which is based on Network Simulator-3 (NS-3). The characteristics of this library (detailed representation of cross-layer communications and operation modes of the modems) allows us an accurate prediction of the performance improvement of AHD with respect to standard DBR.

References

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Ian F Akyildiz, Dario Pompili, and Tommaso Melodia. 2005. Underwater acoustic sensor networks: research challenges. Adhoc networks 3, 3 (2005), 257--279.
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Brian Borowski and Dan Duchamp. 2010. Measurement-based underwater acoustic physical layer simulation. In OCEANS 2010. IEEE, 1--8.
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Michele Bugliesi, Lucia Gallina, Sardaouna Hamadou, Andrea Marin, and Sabina Rossi. 2014. Behavioural equivalences and interference metrics for mobile ad-hoc networks. Performance Evaluation 73 (2014), 41--72.
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Armir Bujari, Andrea Marin, Claudio E Palazzi, and Sabina Rossi. 2016. Analysis of ECN/RED and SAP-LAW with simultaneous TCP and UDP traffic. Computer Networks 108 (2016), 160--170.
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Rodolfo WL Coutinho, Azzedine Boukerche, Luiz FM Vieira, and Antonio AF Loureiro. 2016. Design guidelines for opportunistic routing in underwater networks. IEEE Communications Magazine 54, 2 (2016), 40--48.
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Erol Gelenbe and Andrea Marin. 2015. Interconnected wireless sensors with energy harvesting. In International Conference on Analytical and Stochastic Modeling Techniques and Applications. Springer, 87--99.
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Albert F Harris III and Michele Zorzi. 2007. Modeling the underwater acoustic channel in ns2 (Proceedings of the 2nd international conference on Performance evaluation methodologies and tools). ICST, 18--26.
[8]
M.R. Jafri. 2017. AquaSim Next Generation: Libraries, by Robert Martin and Mohsin Jafri. (2017). Retrieved: 2017-07-14 from https://github.com/rmartin5/aqua-sim-ng/blob/master/model/aqua-sim-routing-ddbr.cc
[9]
Robert Martin, Yibo Zhu, Lina Pu, Fei Dou, Zheng Peng, Jun-Hong Cui, and Sanguthevar Rajasekaran. 2015. Aqua-Sim Next Generation: A NS-3 Based Simulator for Underwater Sensor Networks. In Proceedings of the 10th International Conference on Underwater Networks & Systems. ACM, 18--22.
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Diba Mirza, Feng Lu, and Curt Schurgers. 2009. Efficient broadcast MAC for underwater networks. Procedings of ACM WUWNet, Berkeley CA, USA (2009).
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Hai Yan, Zhijie Shi, and Jun-Hong Cui. 2008. DBR: depth-based routing for underwater sensor networks. NETWORKING 2008 Ad Hoc and Sensor Networks, Wireless Networks, Next Generation Internet (2008), 72--86.
  1. Adaptive Holding time and Depth-Based Routing for UWSN

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    VALUETOOLS 2017: Proceedings of the 11th EAI International Conference on Performance Evaluation Methodologies and Tools
    December 2017
    268 pages
    ISBN:9781450363464
    DOI:10.1145/3150928
    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    Published: 05 December 2017

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    Author Tags

    1. Depth-based routing
    2. Energy efficienct routing
    3. Routing protocols
    4. Underwater Sensor Networks

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