An Energy-efficient Data Transmission Scheme in Underwater Wireless Sensor Networks


  • Y. Emami Computer Engineering and IT Department, Shiraz University of Technology, Shiraz, Iran
  • R. Javidan Computer Engineering and IT Department, Shiraz University of Technology, Shiraz, Iran


Energy is a precious resource in underwater wireless sensor networks (UWSNs). In these networks, the number of data transmissions between sensor nodes dominates energy consumption. Complex signal processing techniques also increase energy consumption. In this paper an energy-efficient data transmission scheme based on bloom filters is proposed. Extensive simulation is carried out to demonstrate the effectiveness of the proposed method. Simulation results indicate that the proposed scheme outperforms the primary technique in terms of energy efficiency, lifetime, load and loss rate. The results of this research suggest that exploiting bloom filters is a viable solution for reducing the number of transmissions in UWSNs.


Energy Efficiency, Data Transmission, Bloom Filter, Underwater Wireless Sensor Networks


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R. Javidan, M. A. Masnadi-Shirazi, Z. Azimifar, “Contourlet-Based Acoustic Seabed Ground Discrimination System”, Third IEEE International Conference on Information and Communication Technologies: From Theory to Applications, Damascus, Syria, April 7-11, 2008 DOI:

T. J. Arsanjani, R. Javidan, M. J. Nazemosadat, J. J. Arsanjani, E Vaz, “Spatiotemporal monitoring of Bakhtegan Lake's areal fluctuations and an exploration of its future status by applying a cellular automata model”, Computers & Geosciences, No. 78, pp. 37-43, 2015. DOI:

V. Kavoosi, M. J. Dehghani, R. Javidan, “Selective geometry for near-field three-dimensional localisation using one-pair sensor”, IET Radar, Sonar & Navigation (accepted)

R. Mohammadi, S. Y. Nabavi, R. Javidan, “MAC Protocols in Underwater Wireless Sensor Networks: Issues and simulations”, Journal of Advances in Computer Research, Vol. 5, No. 2, pp. 97-109, 2014

S. Rowshanrad, M. Keshtgary, R. Javidan, “MBC: A Multi-hop Balanced Clustering Routing Protocol for Wireless Sensor Networks”, International Journal of Artificial Intelligence and Mechatronics, Vol. 2, No. 6, pp. 164-170, 2014.

J. Xu, K. Li, G. Min, “Reliable and Energy-Efficient Multipath Communications in Underwater Sensor Networks”, IEEE Transactions on Parallel and Distributed Systems, vol. 23, No. 7, pp. 1326-1335, 2012 DOI:

K. Wang,, H.Gao, X.Xu, and D.Yue, "An Energy-efficient Reliable Data Transmission Scheme for Complex Environmental Monitoring in Underwater Acoustic Sensor Networks," IEEE Sensors Journal, , vol. PP, pp. 1-1, 2015.

D. Pompili, T. Melodia, I. F. Akyildiz, “Distributed Routing Algorithms for Underwater Acoustic Sensor Networks”, IEEE Transactions on Wireless Communications, Vol. 9, No. 9, pp. 2934-2944, 2010 DOI:

J. Cao, J. Dou, S. Dong, “Balance Transmission Mechanism in Underwater Acoustic Sensor Networks”, International Journal of Distributed Sensor Networks, Vol. 2015, Article ID 429340, pp. 1-12, 2015 DOI:

H. Yang, B. Liu, F. Ren, H. Wen, C. Lin, “Optimization of Energy Efficient Transmission in Underwater Sensor Networks”, IEEE Global Telecommunications Conference, pp. 1-6, Honolulu, Nov. 30-Dec. 4, 2009 DOI:

C. Yuan, X. Wang, S. Xiong, L. Ma, Q. Miu, “A Fair Data Transmission Strategy in Underwater Acoustic Sensor Networks”, Journal of Networks, Vol. 9, No. 10, pp. 2606-2614, 2014 DOI:

S. Geravand, M. Ahmadi, “Bloom filter applications in network security: A state-of-the-art survey”, Computer Networks, Vol. 57, No. 18, pp. 4047-4064, 2013 DOI:

D. Sy, L. Bao, “CAPTRA: coordinated packet traceback”, The Fifth International Conference on Information Processing in Sensor Networks, IPSN 2006, Nashville, USA, pp. 152-159, 2006 DOI:

T. Chen, D. Guo., Y. He, H. Chen, X. Liu, X. Luo, “A Bloom filters based dissemination protocol in wireless sensor networks”, Ad Hoc Networks, Vol. 11, No. 4, pp. 1359-1371, 2013 DOI:

A. Broder, M. Mitzenmacher, “Network Applications of Bloom Filters: A Survey”, Internet Mathematics, Vol. 1, No. 4, pp. 485-509, 2003 DOI:

R. Mohammadi, R. Javidan, A. Jalili, “Fuzzy depth based routing protocol for underwater acoustic wireless sensor networks”, Journal of Telecommunication, Electronic and Computer Engineering”, Vol. 7, No. 1, pp. 81-86, 2015

A. S. Gad, “A fuzzy logic-based multisensor data fusion for Maritime Surveillance”, National Radio Science Conference, pp. 1-10, New Cairo, Egypt, March 17-19, 2009.

T. A. Runkler, “Selection of appropriate defuzzification methods using application specific properties”, IEEE Transactions on Fuzzy Systems, Vol. 5, No. 1, pp. 72-79, 1997 DOI:

X. Peng, “Aqua-Sim: An NS-2 based simulator for underwater sensor networks”, OCEANS 2009, MTS/IEEE Biloxi - Marine Technology for Our Future: Global and Local Challenges, Biloxi, USA, pp. 1-7, 26-29 Oct. 2009

LinkQuest Inc, LinkQuest Underwater Acoustic Modems UWM2000 Specifications, available at:


How to Cite

Y. Emami and R. Javidan, “An Energy-efficient Data Transmission Scheme in Underwater Wireless Sensor Networks”, Eng. Technol. Appl. Sci. Res., vol. 6, no. 2, pp. 931–936, Apr. 2016.


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