An Efficient Hybrid Routing Protocol in Underwater Wireless Sensor Networks
Subject Areas : electrical and computer engineering
1 -
2 -
Keywords: Efficient hybrid routingdata aggregationfuzzyunderwater wireless sensor networks,
Abstract :
Underwater Wireless Sensor Network (UWSN) is a kind of sensor networks that their operational fields have been developed under water in recent decades, although these networks deal with lots of challenges due to lack of the GPS1. These networks encounter researchers with many challenges by some limitations like high propagation delay, low bandwidth, high bit error rate, movement, limited battery and memory. In comparison with terrestrial sensor networks, sensors in the UWSN consume energy more because they use acoustic technology to communicate. Motivation of this research is proposing a routing protocol for underwater systematic settings with a limited energy. The settled sensor nodes in underwater cannot communicate directly with nodes near surface, so they need prepared multi hop communications with a proper routing plan. In wireless sensor networks, node clustering is a common way to organize data traffic and to decrease intra-network communications along with scalability and load balance improvement plus reducing of overall energy consumption of system. Therefore, in this article a fuzzy clustering routing protocol with data aggregation and balanced energy consumption for UWSNs is proposed. Simulation results show that in the proposed protocol, energy consumption becomes more uniformly distributed in the network and average of the nodes' energy usage and number of routing packets decreases and finally, packet delivery ratio and throughput are improved in the network in comparison with DABC3 and IDACB4 algorithms.
[1] N. Goyal, M. Dave, and A. K. Verma, "Improved data aggregation for cluster based underwater wireless sensor networks," Proc. Natl. Acad. Sci., India, Sect, A Phys. Sci, vol. 4, no. 5, pp. 235-245, Jun. 2017.
[2] C. Zidi, F. Bouabdallah, and R. Boutaba, "Routing design avoiding energy holes in underwater acoustic sensor networks," Wireless Communications and Mobile Computing, vol. 16, no. 14, pp. 2035-2051, Feb. 2016.
[3] A. Khasawneh, M. Shafie Bin Abd Latiff, O. Kaiwartya, and H. Chizari, "A reliable energy-efficient pressure-based routing protocol for underwater wireless sensor network," Wireless Networks, vol. 4, no. 6, pp. 1-15, Feb. 2017.
[4] N. Z. Zenia, et al., "Energy-efficiency and reliability in MAC and routing protocols for underwater wireless sensor network: a survey," J. of Network and Computer Applications, vol. 71, no. 10 pp. 72-85, Aug. 2016.
[5] S. Lee, Y. Jeong, E. Moon, and D. Kim, "An efficient MOP decision method using hop interval for RPL-based underwater sensor networks," Wireless Personal Communications, vol. 93, no. 4, pp. 1027-1041, Apr. 2017.
[6] A. Ahmad, A. Sheeraz, M. Alam, I. Azim Niaz, and N. Javaid, "On energy efficiency in underwater wireless sensor networks with cooperative routing," Annals of Telecommunications, vol. 72, no. 3-4, pp. 173-188, Apr. 2017.
[7] N. Goyal, M. Dave, and A. Verma, "Fuzzy based clustering and aggregation technique for under water wireless sensor networks," in Proc. Int. Conf. on Electronics and Communication System, lCECS'14, 6 pp., Coimbatore, India, 13-14 Feb. 2014.
[8] S. Souiki, M. Hadjila, and M. Feham, "Fuzzy based clustering and energy efficient routing for underwater wireless sensor networks," International J. of Computer Networks & Communications, vol. 7, no. 2, pp. 33-44, Mar. 2015.
[9] T. Khoa and O. Seung-Hyun, "A data aggregation based efficient clustering scheme in underwater wireless sensor networks," In: Y. S. Jeong, Y. H. Park, C. H. Hsu, and J. Park, eds,) Ubiquitous Information Technologies and Applications, LNEE 280. Springer, Berlin, pp. 541-548, 2014.
[10] A. Wahid and D. Kim, "An energy efficient localization-free routing protocol for underwater wireless sensor networks," International J. of Distributed Sensor Networks, Article ID 307246, 11 pp., Apr. 2012.
[11] A. Joshi, S. Dhongdi, R. Sethunathan, P. Nahar, and K. R. Anupama, "Energy efficient clustering based network protocol stack for 3D airborne monitoring system," J. of Computer Networks and Communications, Article ID 8921261, 13 pp., Feb. 2017.
[12] J. Li, X. Jiang, and I. -T. Lu, "Energy balance routing algorithm based on virtual MIMO scheme for wireless sensor networks," J. of Sensors, vol. 2014, 8 pp., Article 589249, 2014.
[13] S. Ahmed, et al., "Co-UWSN: cooperative energy-efficient protocol for underwater WSNs," International J. of Distributed Sensor Networks, vol. 2015, Article No. 75, Jan. 2015.
[14] N. Goyal, M. Dave, and A. K. Verma, "Data aggregation in underwater wireless sensor network: recent approaches and issues," J. of King Saud University-Computer and Information Sciences, 2 May 2017, doi:10.1016/j.jksuci.2017.04.007
[15] K. Ovaliadis and N. Savage, "Cluster protocols in underwater sensor networks: a research review," J. of Engineering Science and Technology Review, vol. 7, no. 3, pp. 171-175, 2014.
[16] M. Hong, C. Yookun, and H. Junyoung, "Enhancing the reliability of head nodes in underwater sensor networks," Sensors, vol. 12, no. 2, pp. 1194-1210, Jan. 2012.
[17] S. Kumar and R. Sethi, "An improved clustering machanism to improve nework life for underwater WSN," International J. of Emerging Trends & Technology in Computer Science, vol. 2, no. 3, pp. 43-47, May/Jun. 2013.
[18] S. K. Murugaraja, R. Kumar Ramesh, and A. Anbarasan, "A distributed cost effective cluster algorithm," International J. of Computer Science and Management Research, vol. 2, no. 12, pp. 2374-2377, May 2013.
[19] J. H. Chenn, et al., "A self-healing clustering algorithm for underwater sensor networks," Int. J. Cluster Computing. Springer, vol. 14, no. 1, pp. 91-99, Mar. 2011.
[20] S. Saxena, S. Mishra, and M. Singh, "Clustering based on node density in heterogeneous under-water sensor network," I. J. Information Technology and Computer Science, vol. 2, pp. 49-55, Jun. 2013.
[21] M. Ayaz, A. Abdullah, and L. T. Jung, "Temporary cluster based routing for underwater wireless sensor networks," in Proc. Int. Symp. on Information Technology, ITSim, vol. 2, pp. 1009-1014, 15-17 Jun. 2010.
[22] M. H. Anisi, G. Abdul-Salaam, M. Yamani, A. W. Abdul Wahab, and I. Ahmedi, "Energy harvesting and battery power based routing in wireless sensor networks," Wireless Networks, vol. 23, no. 1, pp. 249-266, Jan. 2017.
[23] S. Srujana, N. P. Mathews, and V. P. Harigovindan, "Multi-source energy harvesting system for underwater wireless sensor networks," Procedia Computer Science, vol. 46, pp. 1041-1048, Dec. 2015.
