To deal with the limitation that flat routing can hardly be accustomed to large scale Underwater Sensor Networks (USN), a new clustering routing algorithm Dynamic Layered Clustering Routing (DLCR) is proposed, which can be accustomed to larger scale networks. This algorithm divides the networks into several layers from top to bottom, and selects the nodes which have more remaining energy and shorter distance to sink as the cluster head nodes, thus, clusters’ communication energy consumption are reduced. In order to avoid the same nodes being elected to be cluster head nodes continuously, a dynamic layered mechanism that the networks are divided into different layers in each circle of data gathering is proposed. The experiment shows that DLCR not only has a better stability, but also reduces the energy consumption and prolongs the lifetime of the whole networks.
Guo Zhong-wen, Luo Han-jiang, Hong Feng, et al.. Current progress and research issues in underwater sensor networks[J]. Journal of Computer of Computer Research and Development, 2010, 47(3): 377-389.
Hong Feng, Zhang Yu-liang, Yang Bo-zhen, et al.. Review on time synchronization techniques in underwater acoustic sensor networks[J]. Acta Electronica Sinica, 2013, 41(5): 960-965.
Guo Ying and Zhang Zhen. Clock synchronization study for large scale underwater sensor networks[J]. Journal of Electronics & Information Technology, 2014, 36(6): 1498-1503.
Jin Zhi-gang, Su Yi-shan, Liu Zi-xin, et al.. Prediction based MAC for underwater wireless sensor networks[J]. Journal of Electronics & Information Technology, 2013, 35(3): 728-734.
[5]
Yan H and Cui J H. DBR: depth-based routing for underwater sensor networks[C]. Proceedings of the 7th International IFIP-TC6 Networking Conference, Singapore, 2008: 72-86.
[6]
Anupama K R, Sasidharan A, and Vadlamani S. A location-based clustering algorithm for data gathering in 3D underwater wireless sensor networks[C]. Proceedings of the 2008 International Symposium on Telecommunications, Tehran, Iran, 2008: 343-348.
[7]
Pu W, Cheng L, and Jun Z. Distributed minimum-cost clustering protocol for underwater sensor networks (UWSNs) [C]. Proceedings of the IEEE International Conference on Communications, Glasgow, UK, 2007: 3510-3515.
[8]
Liu L F. A deployment algorithm for underwater sensor networks in ocean environment[J]. Journal of Circuits, Systems and Computers, 2011, 20(6): 1051-1066.
[9]
Gopi S, Kannan G, Chander D, et al.. PULRP: path unaware layer routing protocol for underwater sensor networks[C]. Proceedings of the IEEE International Conference on Communications, Beijing, China, 2008: 3141-3145.
[10]
Ayaz M, Abdullah A, and Low Tang Jung. Temporary cluster based routing for underwater wireless sensor networks[C]. Proceedings of the International Symposium in Information Technology, Kuala Lumpur, Malaysia, 2010: 1009-1014.
[11]
Ali K and Hassanein H. Underwater wireless hybrid sensor network[C]. Proceedings of the IEEE Symposium on Computers and Communications, Marrakech, Marocko, 2008: 1166-1171.
[12]
Domingo M C and Prior R. A distributed clustering scheme for underwater wireless sensor networks in personal, indoor and mobile radio communications[C]. Proceedings of the IEEE 18th International Symposium on PIMRC, Athens, Greece, 2007: 1-5.
[13]
Domingo M C. A distributed energy-aware routing protocol for underwater wireless sensor networks[J]. Wireless Personal Communications, 2011, 57(4): 607-627.
Qing Li, Zhu Qing-xin, and Wang Ming-wen. A distributed energy-efficient clustering algorithm for heterogeneous wireless sensor networks[J]. Journal of Software, 2006, 17(3): 481-489.
[15]
Sozer E M, Stojanovic M, and Proakis J G. Underwater acoustic networks[J]. IEEE Journal of Oceanic Engineering, 2000, 25(1): 72-83.
Peng Jian, Hong Chang-jian, Liu Tang, et al.. Strategy of routing based on layered for underwater wireless sensor networks[J]. Journal on Communications, 2014, 35(6): 25-31.
[17]
Guo Y and Liu Y T. Localization for anchor-free underwater sensor networks[J]. Computers and Electrical Engineering, 2013, 39(6): 1812-1821.
Liu Tang, Peng Jian, and Yang Jin. Data delivery for heterogeneous delay tolerant mobile sensor networks based on forwarding probability[J]. Journal of Software, 2013, 24(2): 215-229.