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Data Accuracy Estimation for Spatially Correlated Data in Wireless Sensor Networks under Distributed Clustering by Karjee, Jyotirmoy; Jamadagni, H. S is a scholarly article available to read on EtoBox.

What is Data Accuracy Estimation for Spatially Correlated Data in Wireless Sensor Networks under Distributed Clustering about?

Objective-The main purpose of this paper is to construct a distributed clustering algorithm such that each distributed cluster can perform the data accuracy at their respective cluster head node before data aggregation and transmit the data to the sink node. Design approach/Procedure - We investigate that the data are spatially correlated among the sensor nodes which form the clusters in the spatial domain. Due to high correlation of data, these clusters of sensor nodes are overlapped in the spatial domain. To overcome this problem, we construct a distributed clustering algorithm with non-overlapping irregular clusters in the spatial domain. Then each distributed cluster can perform data accuracy at the cluster head node and finally send the data to the sink node. Findings- Simulation result shows the associate sensor nodes of each distributed cluster and clarifies their data accuracy profile in the spatial domain. We demonstrate the simulation results for a single cluster to verify that their exist an optimal cluster which give approximately the same data accuracy level achieve by the single cluster. Moreover we find that as the distance from the tracing point to the number of sen

Author

Karjee, Jyotirmoy; Jamadagni, H. S

Published

2011

Language

EN