An Energy-Aware Data-Gathering Protocol Based on Clustering using AUV in Underwater Sensor Networks

Full Text (PDF, 660KB), PP.36-43

Views: 0 Downloads: 0

Author(s)

Reza MotahariNasab 1,* Ali Bohlooli 1 Neda Moghim 1

1. Faculty of Computer Engineering, University of Isfahan, Isfahan, Iran

* Corresponding author.

DOI: https://doi.org/10.5815/ijcnis.2016.12.05

Received: 23 Apr. 2016 / Revised: 11 Jul. 2016 / Accepted: 15 Sep. 2016 / Published: 8 Dec. 2016

Index Terms

Energy Optimization, Data Gathering, Underwater Sensor Networks, Autonomous Underwater Vehicle (AUV), Clustering

Abstract

Underwater Wireless Sensor Networks (UWSNs) consist of certain number of sensors and vehicles interacting with each other to collect data. In recent years, the use of Autonomous Underwater Vehicle (AUV) has improved the data delivery ratio and maximized the energy efficiency in UWSNs. Clustering is one of the effective techniques in energy management which increases the lifetime of these networks. One of the most important parameters in creating optimized clusters is the choice of appropriate cluster head (CH), which not only increases the lifetime of the network and the received data in the sink, but also reduces energy consumption. Clustering of networks was primary done via distributed methods in previous researches. It spends too much energy and also involves too many nodes in the clustering process and fades their main functionality, which is gathering data in sensor networks. It also causes more damping of the network. However, in the proposed protocol, instead of having them distributed by the network and the nodes, the stages of clustering and selecting the appropriate CH is the task of the AUV (Autonomous Underwater Vehicle). Since all the necessary measures to cluster in the network will be carried out by the AUV by this method, many control overheads in the process of clustering the network will be removed and energy consumption caused by nodes reduces significantly. With this method, the network scalability will also be manageable and under control. For simulating and implementing our method we mainly used the OPNET software. The results show that energy consumption of nodes in the proposed algorithm has been significantly improved compared to previous results.

Cite This Paper

Reza MotahariNasab, Ali Bohlooli, Neda Moghim, "An Energy-Aware Data-Gathering Protocol Based on Clustering using AUV in Underwater Sensor Networks", International Journal of Computer Network and Information Security(IJCNIS), Vol.8, No.12, pp.36-43, 2016. DOI:10.5815/ijcnis.2016.12.05

Reference

[1]Z. Latifi, K. Jamshidi and A. Bohlooli, “Increasing the Efficiency of IDS Systems by Hardware Implementation of Packet Capturing”, in I. J. Computer Network and Information Security (IJCNIS), Vol. 10, pp. 30-36, 2013.
[2]M. C. Domingo, R. Prior, “Energy analysis of routing protocol for underwater wireless sensor networks,” Elesvier. Computer Communications, 31, 2008.
[3]M. C. Domingo, R. Prior, “A distributed clustering scheme for underwater wireless sensor network, ” In Proc. IEEE PPIMRC, Athens, September, 2007.
[4]H. Harb, A. Makhoul, and R. Couturier, ” An Enhanced K-means and ANOVA-based Clustering Approach for Similarity Aggregation in Underwater Wireless Sensor Networks”, in IEEE Sensors Journal, MARCH 2015.
[5]G. A. Hollinger, S. Choudhary, P. Qarabaqi, C. Murphy, U. Mithra, G. S. Sukhatme, M. Stojanovic, H. Singh, and F. Hover, “Underwater Data Collection Using Robotic Sensor Networks, ”In IEEE. Journal on Selected Area in Communications, Vol. 30, No. 5, June, 2011.
[6]F. Favaro, P. Casari, F. Guerra and M. Zrozi, “Data upload from a static underwater network to an AUV: Polling or random access?, ” In Proc. MTS / IEEE Oceans Yeosu, Korea, May, 2012.
[7]F. Favaro, L. Brolo, G. Toso, P. Casari and M. Zrozi, “ A Study on Remote Data Retrieval Strategies in Underwater Acoustic Network, ” In Proc. MTS IEEE Oceans San Diego, US, September 2013.
[8]N. Ilyasa, T. A. Alghamdib, M. N. Farooqa, B. Mehbooba, A. H. Sadiqa, U. Qasimc, Z. A. Khand, N. Javaid, ” AEDG: AUV-aided Efficient Data Gathering Routing Protocol for Underwater Wireless Sensor Networks”, in Elesvier Procedia Computer Science, 2015.
[9]S. Gao, H. Zhang, and S. Das, “Ef?cient data collection in wireless sensor networks with path-constrained mobile sinks,” IEEE Trans. Mobile Comput. , vol. 10, no. 4, pp. 592–608, Apr. 2011.
[10]J. L. and J. P. Hubaux, “Joint mobility and routing for lifetime elongation in wireless sensor networks,” in Proc. IEEE INFOCOM, vol. 3, Mar. 2005.
[11]G. A. Hollinger, U. Mitra, G. S. Sukhatme, ” Autonomous data collection from underwater sensor networks using acoustic communication”, In Intelligent Robots and Systems (IROS), IEEE/RSJ International Conference on, pp. 3564-3570, 2012.
[12]D. Jabba And M. Labrador, “A Data Link Layer In Support of Swarming of Autonomous Underwater Vehicles,” In Proceedings Of The MTS/IEEE Oceans Conference, Bremen, Germany, May 2009.
[13]M. Stojanovic. “Acoustic (Underwater) Communications”. In John G. Proakis, editor, Encyclopedia of Telecommunications. John Wiley and Sons, 2003.
[14]C. Pelekanakis, M. Stojanovic, and L. Freitag. “High rate acoustic link for underwater video transmission”. InProc. of MTS/IEEE OCEANS 2003, vol.2, pp. 1091–1097, San Diego, CA, USA, September.
[15]T. Melodia, H. Kulhandjian, L. C. Kuo, E. Demirors, ” Advances In Underwater Acoustic Networking”, in Wiley Online Library, May 2013.
[16]Z. Heidarian, N. Movahedinia, N. Moghim, P. Mahdinia, “Intrusion Detection Based on Normal Traffic Specifications”, in I. J. Computer Network and Information Security (IJCNIS), Vol. 9, pp. 32-38, 2015.
[17]D. Richard Blidberg, “The Development of Autonomous Underwater Vehicles (AUV); A Brief Summary”, Autonomous Undersea Systems Institute, Lee New Hampshire, USA, 2010.
[18]S. Sendra, J. Lloret, J. M. Jimenez, and L. Parra, “Underwater Acoustic Modems”, in IEEE Sensors Journal, Vol. 16, No. 11, June 1, 2016.
[19]G. Liu, W. Wen, ”A improved GAF clustering algorithm for three-dimensional underwater acoustic networks”, in IEEE International Symposium on Computer, Communication, Control and Automation, 2010.