A Fault Tolerance Data Aggregation Scheme for Wireless Sensor Networks


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Abstract


In wireless sensor networks (WSN), most of the existing works on fault tolerant aggregation, does not take all the possible types of faults such as Network level, node level and data level into account. Also in the selection of aggregators and its routing path, many existing works does not consider coverage related problems and link quality. Hence in this approach we propose to design a fault tolerance data aggregation system in WSN. In this technique, the nodes with maximum link quality, residual energy and coverage is chosen as aggregator node. When the aggregator has to transmit the data towards the sink, it constructs the routing tree with good quality links. In order to prevent the data level faults, a cross validation of the data recorded in the nodes is performed. By simulation results, we show that the proposed approach greatly minimizes the network level, node level and data level faults.
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Keywords


Wireless Sensor Networks (WSN); Link Quality (LQ); Residual Energy

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References


Dorottya Vass, Attila Vidacs, “Distributed Data Aggregation with Geographical Routing in Wireless Sensor Networks”, Pervasive Services, IEEE International Conference on July 2007.

Jukka Kohonen, “Data Gathering in Sensor Networks”, Helsinki Institute for Information Technology in Finland, Nov 2004.

Gregory Hart and Baochun Li, “Loss Inference in Wireless Sensor Networks Based on Data Aggregation”, IPSN, 2004.

Tao Cui, Lijun Chen, Tracey Ho, Steven H. Low, and Lachlan L. H. Andrew, “Opportunistic Source Coding for Data Gathering in Wireless Sensor Networks”, California Institute of Technology.

Zhenzhen Ye, Alhussein A. Abouzeid and Jing Ai, “Optimal Policies for Distributed Data Aggregation in Wireless Sensor Networks”, Draft Infocom2007 Paper.

Bhaskar Krishnamachari, Deborah Estrin and Stephen Wicker, “The Impact of Data Aggregation in Wireless Sensor Networks”, Proceedings of the 22nd International Conference on Distributed Computing Systems – 2002.

Kai-Wei Fan, Sha Liu, and Prasun Sinha, “Structure-free Data Aggregation in Sensor Networks”, IEEE Transactions on Mobile Computing – 2007.

Jie Gao, Leonidas Guibas and John Hershberger, “Sparse Data Aggregation in Sensor Networks”, IPSN 2007.

Qiang Ma and Won-Sik Yoon, “Data Aggregation with Error Correction for Wireless Sensor Networks”, Information Technology of Journal – 2005.

Chong Luo, Feng Wu, Jun Sun and Chang Wen Chen, “Compressive Data Gathering for Large-Scale Wireless Sensor Networks”, MobiCom – 2009.

Paulo Jesus, Carlos Baquero and Paulo Sergio Almeida, “Using Less Links to Improve Fault-Tolerant Aggregation”, 4th Latin-American Symposium on Dependable Computing (LADC 2009), September 1-4, 2009.

Hai Liu, Amiya Nayak and Ivan Stojmenovi, “Fault-Tolerant Algorithms/Protocols in Wireless Sensor Networks”, Wiley, Chapter - 1, 2010.

Laukik Chitnis, Alin Dobra and Sanjay Ranka, “Analyzing the Multiple Aggregation Trees Technique for Fault Tolerance in Sensor Networks”, Proceedings of International Conference on Information Systems, Technology and Management (ICISTM 2007), March 2007.

Paulo Jesus, Carlos Baquero and Paulo Sergio Almeida, “Fault-Tolerant Aggregation for Dynamic Networks”, SRDS 2010, 37-43, New Delhi, Punjab, India, 2010.

Paulo Jesus, Carlos Baquero and Paulo Sergio Almeida, “Fault-Tolerant Aggregation by Flow Updating”, DAIS 2009, 73-86, Lisbon, Portugal, 2009.

Sameh Gobriel, Sherif Khattab, Daniel Mosse, Jose Brustoloni and Rami Melhem, “RideSharing: Fault Tolerant Aggregation in Sensor Networks Using Corrective Actions”, IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks (SECON), Reston, VA, 28-28 Sept. 2006.

Jan Blumenthal, Ralf Grossmann, Frank Golatowski and Dirk Timmermann, “ Weighted Centroid Localization in Zigbee-based Sensor Networks”, IEEE International Symposium on Intelligent Signal Processing (WISP), pp 1- 6, 2007.

Vinh TRAN QUANG and Takumi MIYOSHI, “Adaptive Routing Protocol with Energy efficient and event clustering for wireless sensor networks”, IEICE transactions, Vol E 91-B, No 9, 2008.

Yun Wang, Xiaodong Wang, Demin Wang and Dharma P. Agrawal, “Range-Free Localization Using Expected Hop Progress in Wireless Sensor Networks”, IEEE Transactions on Parallel and Distributed Systems, VOL. 20, NO. 10, October 2009.

Shivaprakasha, K.S., Kulkarni, M., Energy efficient routing protocols for wireless sensor networks: A survey, (2011) International Review on Computers and Software (IRECOS), 6 (6), pp. 929-943.

Ali Hassoune, M., Mekkakia, Z., LAT-MAC: A latency energy aware MAC Protocol for wireless sensor networks, (2010) International Review on Computers and Software (IRECOS), 5 (3), pp. 276-280.

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