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Clustering and de-centralised clustering with compressive data gathering for effective data transmission in wireless sensor network
S.J. Muneeswari, R. Aishwarya,
Published in Research India Publications
2015
Volume: 10
   
Issue: 7
Pages: 17149 - 17161
Abstract
The wireless sensor network is the area of growing interest that consists of nodes deployed in various locations. These nodes have to be arranged properly for sensing and computing data. In this project based on the geographical location of area the nodes will be grouped called cluster and each cluster have cluster head (CH) which will be acting as a leader for cluster. The CH election depends on energy. The de-centralisation process happens in which the role of CH is rotated, when same CH works for long period time it will lose its energy resulting loss of data during transmissions. To reduce the number of data transmission compressive sensing (CS) technique is employed. When number of transmissions reduced then the lifetime of network improved. During CS the role of CH is to gather all data from its member nodes compress the data and sent to the sink. The recursive algorithm is used for priority based transmission of data. Also master slave communication is used in heavy load situations. Also to improve the network the multi-clustering approach is used. © Research India Publications.
About the journal
JournalInternational Journal of Applied Engineering Research
PublisherResearch India Publications
ISSN09734562