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Data Aggregation and Life Time Improvement in wireless Sensor Networks using Dynamic Clustering

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2016
Reepu Daman, Preety Chaudhary, Rakesh Kumar

Reepu Daman, Preety Chaudhary and Rakesh Kumar. Data Aggregation and Life Time Improvement in wireless Sensor Networks using Dynamic Clustering. International Journal of Computer Applications 156(11):6-10, December 2016. BibTeX

	author = {Reepu Daman and Preety Chaudhary and Rakesh Kumar},
	title = {Data Aggregation and Life Time Improvement in wireless Sensor Networks using Dynamic Clustering},
	journal = {International Journal of Computer Applications},
	issue_date = {December 2016},
	volume = {156},
	number = {11},
	month = {Dec},
	year = {2016},
	issn = {0975-8887},
	pages = {6-10},
	numpages = {5},
	url = {},
	doi = {10.5120/ijca2016912551},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}


Wireless sensor network is an emerging area of research due to vulnerability of sensing information from not approachable areas. In WSN sensor nodes have been deployed for sensing information and transmit this information to base station so that various decisions can be developed. In the processing of WSN data aggregation and energy consumption are major issues. In this paper a new approach has been purposed for data management and energy consumption reduction using dynamic clustering and avoidance ofredundant information transmission over the network. This approach use check sum approach for data redundancy checking and discard redundant or repeated information. This approach provides better results than previous approaches.


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Energy optimization, WSN, data sensing, clusters.