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Data Aggregation in Wireless Sensor Networks

K.M. Uma Maheswari, S. Kanchana Devi, Dr.S. Govindarajan

Abstract


The basic role of a wireless sensor network is to collect information from the environment by many sensor nodes (SNs). The SN typically has a finite battery life and nodes' failures can lead to network partition. Therefore, it is important to minimize the energy usage of each sensor node and to manage the power of SN in critical position that their failure could divide the network. This drives research on how to design routing protocols to gather data efficiently, so that the life of the network can be prolonged. A usual concept to collect data by a sink node is to transfer data from sensor nodes to the sink node by multi-hop. To resolves the problems, a new energy balanced and efficient data aggregation scheme for WSN is used. With a predetermined set of paths based on the specific Application.

Keywords


DD, DP, HDA, WSN, RTABLE.PLIST, TPL

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References


Sardouk, A.; Rahim-Amoud, R.; Merghem-Boulahia, L.; Gaiti, D.; “A Multi-criterion Data Aggregation Scheme for WSN” Wireless and Mobile Computing, Networking and Communications, 2009. WIMOB 2009. IEEE International Conference.

Bista, R.; Yong-Ki Kim; Jae-Woo Chang;” A New Approach for Energy- Balanced Data Aggregation in Wireless Sensor Networks” Computer and Information Technology, 2009. CIT '09. Ninth IEEE International Conference.

Shuguang Xiong and Jianzhong Li,”Optimizing Many-to-Many Data Aggregation in Wireless Sensor Networks” Lecture Notes in Computer Science, 2009, Volume 5446/2009, pp 550-555, DOI: 10.1007/978-3-642-00672-2_50

Dasgupta, K., Kalpakis, K., Namjoshi, P.: An Efficient Clustering-based Heuristic for Data Gathering and Aggregation in Sensor Networks.Wireless Communications and Networking (2003),pp 1948–1953

Krishnamachari, L., Estrin, D., Wicker, S.: The Impact of Data Aggregation in

Wireless Sensor Networks. Proc. of 22nd Int. Conference on Distributed Computing Systems Workshops (2000) 575–578

Intanagonwiwat, C., Govindan, R., Estrin, D.: Directed diffusion: A scalable and robust communication paradigm for sensor networks. Proc. of 6th ACM/IEEE Mobicom Conference. Boston, Massachusetts, United States (2000), pp56–67

Heinzelman,W.R., Kulik, J., Balakrishnan, H.: Adaptive Protocols for Information Dissemination in Wireless Sensor Networks. Proc. of 5th ACM/IEEE Mobicom Conference. Seattle, Washington, United States (1999),pp. 174–185

Lindsey, S., Raghavendra, C. S.: PEGASIS: Power Efficient Gathering in Sensor Information Systems. Proc. of IEEE Aerospace Conference, Vol. 3. (2002),pp 1125–1130

Lindsey, S., Raghavendra, C. S., Sivalingam, K.: Data Gathering in Sensor Networks using the Energy*Delay Metric. Proc. of IPDPS Workshop on Issues in Wireless Networks and Mobile Computing (2001),pp 2001–2008

Bhardwaj, M., Garnett, T., Chandrakasan, A.P.: Upper Bounds on the Lifetime of Sensor Networks. Proc. of International Conference on Communications (2001),pp 785–790

Madden, S., Szewczyk, R., Franklin, M. J., Culler, D.: Supporting Aggregate Queries over Ad-Hoc Wireless Sensor Networks. Proc. of 4th IEEE Workshop on Mobile Computing and Systems Applications (2002),pp. 49–58

Younis, O., Fahmy, S.: Distributed Clustering in Ad-hoc Sensor Networks: A Hybrid, Energy-Efficient Approach. IEEE INFOCOM 2004 (2004)

Kohonen, T.: The self-organizing map. Proc. of the IEEE (1990),pp. 1464–148.

Catterall, E., Laerhoven, K., Strohbach, M.: Self-organization in ad hoc sensor networks: an empirical study. Proc. of the eighth international conference on Artificial life (2002),pp. 260–263


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