AUV-Assisted Energy-Efficient Clustering in Underwater Wireless Sensor Networks

Recently, Underwater Wireless Sensor Networks (UWSN) have been proven to provide numerous application including military, environmental, and pollution surveillance, etc. However, once sensors are deployed in the deep sea, it is merely possible to recharge or replace their batteries. Hence, an efficient management of the available resources can extend the network lifetime. For example, clustering the sensor nodes is a potential solution, yet, exchange of multiple packets for cluster head selection, packet collision while sending data to cluster head and the continuous awakening of nodes waste a considerable amount of energy. Utilizing the advanced technology of the Autonomous Unmanned Vehicle(AUV) in UWSN, we present AUV assisted Energy-efficient Clustering(AEC) mechanism that introduces wake-up sleep cycle for the underwater sensor nodes. In the designed scheme, AUV not only collects data but also operates as a central regulator. AUV onus includes cluster creation, the cluster head nomination and creation of a wakeup- sleep schedule for the UWSN that relieves the additional burden from energy limited underwater sensor nodes. Unlike traditional clustering mechanisms, no additional packets exchanged in energy-efficient dynamic cluster head selection. The proposed scheme is evaluated and compared with Clustering with Fixed Cluster head(CFC) scheme. Simulation results show that by applying AEC, the network can remain stable for a long time that allows UWSN to deliver data reliably for the extended time span.

[1]  Syed Hassan Ahmed,et al.  Delay Tolerance in Underwater Wireless Communications: A Routing Perspective , 2016, Mob. Inf. Syst..

[2]  Zhang Ying,et al.  A clustered routing protocol for underwater wireless sensor networks , 2015, 2015 34th Chinese Control Conference (CCC).

[3]  Nadeem Javaid,et al.  The 6 th International Conference on Ambient Systems , Networks and Technologies ( ANT 2015 ) AEDG : AUV-aided E ffi cient Data Gathering Routing Protocol for Underwater Wireless Sensor Networks , 2015 .

[4]  Dina M. Ibrahim,et al.  Enhancing the Vector-Based Forwarding Routing Protocol for Underwater Wireless Sensor Networks: A Clustering Approach , 2014, ICWMC 2014.

[5]  Mohammed Feham,et al.  FUZZY BASED CLUSTERING AND ENERGY EFFICIENT ROUTING FOR UNDERWATER WIRELESS SENSOR NETWORKS , 2015 .

[6]  Syed Hassan Ahmed,et al.  Energy efficient chain based routing protocol for underwater wireless sensor networks , 2017, J. Netw. Comput. Appl..

[7]  Peng Xie,et al.  VBF: Vector-Based Forwarding Protocol for Underwater Sensor Networks , 2006, Networking.

[8]  Ying Zhang,et al.  Clustered routing protocol based on improved K-means algorithm for underwater wireless sensor networks , 2015, 2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER).

[9]  Yuh-Shyan Chen,et al.  A mobicast routing protocol in underwater sensor networks , 2011, 2011 IEEE Wireless Communications and Networking Conference.

[10]  Ho-Shin Cho,et al.  A Distributed Data-Gathering Protocol Using AUV in Underwater Sensor Networks , 2015, Sensors.

[11]  Syed Hassan Ahmed,et al.  EENC - energy efficient nested clustering in UASN , 2014, SAC.

[12]  Seung-Hyun Oh,et al.  A Data Aggregation Based Efficient Clustering Scheme in Underwater Wireless Sensor Networks , 2014 .