An Efficient Under Water Communication Using Hybrid Low Energy Adaptive Clustering Hierarchy Protocol

International Journal of Electronics and Communication Engineering
© 2019 by SSRG - IJECE Journal
Volume 6 Issue 6
Year of Publication : 2019
Authors : K.Soundarya, T.Pavithra
How to Cite?

K.Soundarya, T.Pavithra, "An Efficient Under Water Communication Using Hybrid Low Energy Adaptive Clustering Hierarchy Protocol," SSRG International Journal of Electronics and Communication Engineering, vol. 6,  no. 6, pp. 10-14, 2019. Crossref,


Wireless sensor networks are fast-growing in the communication field because of their compact size and ability to work in rugged conditions. The basic operation of the wireless network is the systematic gathering and transmission of the sensed data to the network controller center for further processing. Autonomous Underwater Vehicle (AUV) has been proposed that moves backward and forward along the pipeline and collect the information from the sensor node gathered by the surface sink. In turn, the surface sink transmits the data to the Network Controller Center (NCC) by using nearby technologies available in that area. While collecting the information from the sensor node, it may cause energy consumption, and the delay get increases. To overcome this energy consumption and delay, the Hybrid Low Energy Adaptive Clustering Hierarchy (H-LEACH) protocol has been used to select the cluster head by using threshold conditions. H-LEACH considers the residual and maximum energy of nodes for every round. Further experimental results demonstrate to reduce the higher energy consumption and the delay while transferring the data.


Autonomous Underwater Vehicle, Hybrid Low Energy Adaptive Clustering Hierarchy, deployment algorithm.


[1] Andreas. H (2018), ‘ Securitisation in the gas sector: Energy security debates concerning the example of the Nord Stream pipeline’, In Energy Security in Europe, pages 61-91. Springer.
[2] Calvo. O, Sousa. A, Curti. H and Rozenfeld.A (2014), ‘ Low-cost autonomous underwater vehicle for underwater acoustic inspections’, Journal of Maritime Research,6(2):37-52.
[3] Chang. Y, Lai.T, Chu. H and Huang. P (2009), ‘Pipeprobe: Mapping spatial layout of indoor water pipelines’ , In Proceedings of the IEEE International Conference on Mobile Data Management, Taipei, Taiwan, pages 391-392.
[4] Dunbabin.M, Corke. P, Vasilescu. I, and Rus.D (2006), ‘Data muling over underwater wireless sensor networks using an autonomous underwater vehicle’ , In proceeding of the IEEE International Conference on Robotics and Automation, pages 2091-2098.
[5] FassahatUllah.Q, (2016), ‘Near-optimal design of scalable energy harvester for underwater pipeline monitoring applications with considerations of impacts to pipeline performance’ , Sensors, 16159(R1):1.
[6] Jawahar.L, Mohamed.M, and Aziz.M, (2008), ‘ A routing protocol and addressing scheme for oil, gas, and water pipeline monitoring using wireless sensor networks. In proceeding of the Fifth IEEE/IFIP International Conference On Wireless Optimal Communications Networks, Surabaya, East Java, Indonesia’, pages 5-7.
[7] Jawahar. I, Mohamed. N, PD,(2011), ‘Linear wireless sensor networks: Classification and applications. Elsevier Journal of Network and Computer Applications (JNCA)’ ,34:1671-1682.
[8] Kim.J, Lim.J, Friedman.J, Lee.U, (2009), ‘ A drifting sensor for in-situ sewer gas monitoring’ , In Proceeding of the IEEE International Conference on Sensor, Mesh and Ad Hoc Communications and Networks, Rome, Italy, pages 1-9.
[9] Mark.J, Kaiser.J,(2017), ‘ Offshore pipeline construction cost in the US gulf of Mexico’ , Marine Policy, 82:147-166.
[10] Nadar Mohamed, ImadJawhar, Jameela Al-Jaroodi, and Liren Zhang (2011), ‘ Sensor network architecture for monitoring underwater pipelines’ ,Sensors, 11(11):10738-10764.
[11] G.Sreesharma. “Hierarchical Clustering In Temporal Databases.” International Journal of Recent Engineering Science (IJRES), vol. 1, issue. 1, 2014.
[12] Rajat Kandpal, Rajesh Singh, H L Mandoria, "Analysis on Enhancements in LEACH Protocol for WSN" SSRG International Journal of Computer Science and Engineering 2.9 (2015): 1-8.