Enhancing the Reliability of Head Nodes in Underwater Sensor Networks

Underwater environments are quite different from terrestrial environments in terms of the communication media and operating conditions associated with those environments. In underwater sensor networks, the probability of node failure is high because sensor nodes are deployed in harsher environments than ground-based networks. The sensor nodes are surrounded by salt water and moved around by waves and currents. Many studies have focused on underwater communication environments in an effort to improve the data transmission throughput. In this paper, we present a checkpointing scheme for the head nodes to quickly recover from a head node failure. Experimental results show that the proposed scheme enhances the reliability of the networks and makes them more efficient in terms of energy consumption and the recovery latency compared to the previous scheme without checkpointing.

[1]  Yuan Li,et al.  Research challenges and applications for underwater sensor networking , 2006, IEEE Wireless Communications and Networking Conference, 2006. WCNC 2006..

[2]  Jingyuan Zhang,et al.  A Linear Time Synchronization Algorithm for Underwater Wireless Sensor Networks , 2009, 2009 IEEE International Conference on Communications.

[3]  Mari Carmen Domingo,et al.  A Distributed Energy-Aware Routing Protocol for Underwater Wireless Sensor Networks , 2011, Wirel. Pers. Commun..

[4]  Kishor S. Trivedi.  Probability and Statistics with Reliability, Queuing, and Computer Science Applications , 1984 .

[5]  Cheng Li,et al.  Cooperative fault-detection mechanism with high accuracy and bounded delay for underwater sensor networks , 2009, Wirel. Commun. Mob. Comput..

[6]  Brian Neil Levine,et al.  A survey of practical issues in underwater networks , 2006, MOCO.

[7]  Milica Stojanovic,et al.  Shallow water acoustic networks , 2001, IEEE Commun. Mag..

[8]  Jun-Hong Cui,et al.  Improving the Robustness of Location-Based Routing for Underwater Sensor Networks , 2007, OCEANS 2007 - Europe.

[9]  Mari Carmen Domingo,et al.  Energy analysis of routing protocols for underwater wireless sensor networks , 2008, Comput. Commun..

[10]  Vedat Coskun,et al.  Wireless sensor networks for underwater survelliance systems , 2006, Ad Hoc Networks.

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

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

[13]  Yi Zhou,et al.  A Localization Scheme for Underwater Wireless Sensor Networks , 2009 .

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

[15]  Yasser Zahedi,et al.  A Survey of Existing Medium Access Control (MAC) for Underwater Wireless Sensor Network (UWSN) , 2010, 2010 Fourth Asia International Conference on Mathematical/Analytical Modelling and Computer Simulation.

[16]  Kam-Wing Ng,et al.  A Reliable and Efficient MAC Protocol for Underwater Acoustic Sensor Networks , 2011, Int. J. Distributed Sens. Networks.

[17]  Peng Xie,et al.  SDRT: A reliable data transport protocol for underwater sensor networks , 2010, Ad Hoc Networks.

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

[19]  Carrick Detweiler,et al.  AquaNodes: an underwater sensor network , 2007, Underwater Networks.

[20]  S. Chinara,et al.  Energy Efficient Mobility Adaptive Distributed Clustering Algorithm for Mobile Ad Hoc Network , 2008, 2008 16th International Conference on Advanced Computing and Communications.

[21]  Wenyu Liu,et al.  Minimum-Latency Aggregation Scheduling in Underwater Wireless Sensor Networks , 2011, 2011 IEEE International Conference on Communications (ICC).

[22]  Kai Lai Chung.  CONTINUOUS PARAMETER MARKOV CHAINS , 2004 .

[23]  N. Shadbolt,et al.  Adaptation in multisensory neurons: Impact on cross-modal enhancement , 2009, Network.

[24]  Jiejun Kong,et al.  The challenges of building mobile underwater wireless networks for aquatic applications , 2006, IEEE Network.