UWSNs: A Round-Based Clustering Scheme for Data Redundancy Resolve

The underwater wireless sensor network (UWSN) is a state-of-the-art approach to exploring potential information and resources in the aquatic environment. However, underwater communication has unique features, such as long propagation delay, low bandwidth capacity, high bit error rates, and mobility, memory, and battery limitations. In this paper, we propose a round-based clustering scheme that can overcome the UWSN's confines mainly by resolving the transmission of redundant data in the network—one of the significant factors that reduces network lifetime. Our proposed scheme works in rounds, with each round consisting of four main phases: initialization, cluster-head selection, clustering, and data aggregation. Suitable mechanisms are chosen to apply in each round. By dealing with most of the redundant data, our proposed clustering scheme better reduces network consumption, thus increasing network throughput. Moreover, the minimum percentage of received data at the sink/base station is guaranteed.

[1]  Teruhiko Teraoka,et al.  Organization and exploration of heterogeneous personal data collected in daily life , 2012, Human-centric Computing and Information Sciences.

[2]  Imran Baig,et al.  A survey on routing techniques in underwater wireless sensor networks , 2011, J. Netw. Comput. Appl..

[3]  Sunilkumar S. Manvi,et al.  Cluster based data aggregation in underwater acoustic sensor networks , 2012, 2012 Annual IEEE India Conference (INDICON).

[4]  Ian F. Akyildiz,et al.  State of the art in protocol research for underwater acoustic sensor networks , 2006, MOCO.

[5]  Dario Pompili,et al.  Challenges for efficient communication in underwater acoustic sensor networks , 2004, SIGBED.

[6]  P.H.J. Chong,et al.  A survey of clustering schemes for mobile ad hoc networks , 2005, IEEE Communications Surveys & Tutorials.

[7]  Jing Zhang,et al.  A Cluster-Head Selection Scheme for Underwater Acoustic Sensor Networks , 2010, 2010 International Conference on Communications and Mobile Computing.

[8]  D. K. Lobiyal,et al.  A novel energy-aware cluster head selection based on particle swarm optimization for wireless sensor networks , 2012, Human-centric Computing and Information Sciences.

[9]  Kee Yin Joseph Ng Ubiquitous healthcare: Healthcare systems and applications enabled by mobile and wireless , 2012 .

[10]  Seung-Hyun Oh,et al.  A Cooperative MAC Scheduling Scheme for Underwater Sensor Networks , 2013 .

[11]  M. Stojanovic,et al.  Underwater acoustic networks , 2000, IEEE Journal of Oceanic Engineering.

[12]  Ian F. Akyildiz,et al.  Wireless sensor networks: a survey , 2002, Comput. Networks.

[13]  R. Sumathi,et al.  A Survey of QoS Based Routing Protocols for Wireless Sensor Networks , 2012, J. Inf. Process. Syst..

[14]  Nitin Gupta,et al.  Wireless Sensor Network: A Review on Data Aggregation , 2011 .

[15]  Ritu Sharma,et al.  Adaptive Energy Aware Data Aggregation Tree for Wireless Sensor Networks , 2013, ArXiv.

[16]  H. T. Mouftah,et al.  A Dependable Clustering Protocol for Survivable Underwater Sensor Networks , 2008, 2008 IEEE International Conference on Communications.

[17]  Sunilkumar S. Manvi,et al.  Issues in Underwater Acoustic Sensor Networks , 2011 .

[18]  Seunghyun Oh,et al.  Well-Suited Similarity Functions for Data Aggregation in Cluster-Based Underwater Wireless Sensor Networks , 2013, Int. J. Distributed Sens. Networks.

[19]  Ibrahima Faye,et al.  An efficient Dynamic Addressing based routing protocol for Underwater Wireless Sensor Networks , 2012, Comput. Commun..

[20]  M. Stojanovic,et al.  Multi-cluster protocol for ad hoc mobile underwater acoustic networks , 2003, Oceans 2003. Celebrating the Past ... Teaming Toward the Future (IEEE Cat. No.03CH37492).

[21]  G. Zayaraz,et al.  An Approach Based on Colored Petri net for Analysing and Modelling the Aspects , 2013 .

[22]  Mari Carmen Domingo,et al.  A Distributed Clustering Scheme for Underwater Wireless Sensor Networks , 2007, 2007 IEEE 18th International Symposium on Personal, Indoor and Mobile Radio Communications.

[23]  Dario Pompili,et al.  Underwater acoustic sensor networks: research challenges , 2005, Ad Hoc Networks.