SEDG: Scalable and Efficient Data Gathering Routing Protocol for Underwater WSNs

Abstract In recent years, the use of Autonomous Underwater Vehicle (AUV) along a constrained path can improve the data delivery ratio and maximize the energy efficiency in Underwater Wireless Sensor Networks (UWSNs). However, constant speed of AUV leads to limited communication to collect data packet from nodes deployed randomly in large scalable network. Moreover, the excessive number of associated nodes with Gateway Node (GN) causes to quick depletion of its energy, thus lead to hot spot problem. This poses prominent challenges in jointly improving the throughput with minimum energy consumption. To address these issues, we presented a novel scalable data gathering scheme called Scalable and Efficient Data Gathering SEDG routing protocol, that increases the packet delivery ratio as well as conserves limited energy by optimal assignment of member nodes with GN. Moreover, the variable sojourn interval of AUV decreases the packet drop ratio and hence, maximize the throughput of network.

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

[2]  Seunghyun Oh,et al.  UWSNs: A Round-Based Clustering Scheme for Data Redundancy Resolve , 2014, Int. J. Distributed Sens. Networks.

[3]  Tamaki Ura,et al.  Autonomous target tracking by underwater robots based on vision , 1998, Proceedings of 1998 International Symposium on Underwater Technology.

[4]  Stephen Pink,et al.  MobiCast: A multicast scheme for wireless networks , 2000, Mob. Networks Appl..

[5]  Wei Cheng,et al.  Underwater Localization in Sparse 3D Acoustic Sensor Networks , 2008, IEEE INFOCOM 2008 - The 27th Conference on Computer Communications.

[6]  M.D. Jovanovic,et al.  TFMAC: Multi-channel MAC Protocol for Wireless Sensor Networks , 2007, 2007 8th International Conference on Telecommunications in Modern Satellite, Cable and Broadcasting Services.

[7]  Nadeem Javaid,et al.  AMCTD: Adaptive Mobility of Courier Nodes in Threshold-Optimized DBR Protocol for Underwater Wireless Sensor Networks , 2013, 2013 Eighth International Conference on Broadband and Wireless Computing, Communication and Applications.

[8]  Awais Ahmad,et al.  AEERP: AUV aided energy efficient routing protocol for underwater acoustic sensor network , 2013, PM2HW2N '13.

[9]  Nadeem Javaid,et al.  iAMCTD: Improved Adaptive Mobility of Courier Nodes in Threshold-Optimized DBR Protocol for Underwater Wireless Sensor Networks , 2014, Int. J. Distributed Sens. Networks.

[10]  Yuan Feng,et al.  Energy Balanced Strategies for Maximizing the Lifetime of Sparsely Deployed Underwater Acoustic Sensor Networks , 2009, Sensors.

[11]  Sunghwan Kim,et al.  AURP: An AUV-Aided Underwater Routing Protocol for Underwater Acoustic Sensor Networks , 2012, Sensors.

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

[13]  Deshi Li,et al.  A Link-State Based Adaptive Feedback Routing for Underwater Acoustic Sensor Networks , 2013, IEEE Sensors Journal.

[14]  Manuel P. Malumbres,et al.  Underwater Wireless Sensor Networks: How Do Acoustic Propagation Models Impact the Performance of Higher-Level Protocols? , 2012, Sensors.

[15]  Sanguthevar Rajasekaran,et al.  An adaptive surface sink redeployment strategy for Underwater Sensor Networks , 2013, 2013 IEEE Symposium on Computers and Communications (ISCC).