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20112017
most citedData Accuracy Model for Distributed Clustering Algorithm based on Spatial Data Correlation in Wireless Sensor Networks

14 citations · 25 across the 7 of their papers we have counts for

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7 papers

cs.NI2017

Information Estimation with Node Placement Strategy in 3D Wireless Sensor Networks

Jyotirmoy Karjee, H. S Jamadagni

The cluster formation in Three Dimensional Wireless Sensor Networks (3D-WSN) give rise to overlapping of signals due to spherical sensing range which leads to information redundanc…

cs.NI2012

Spatio-Temporal Data Correlation with Adaptive Strategies in Wireless Sensor Networks

Jyotirmoy Karjee, H. S Jamadagni

One of the major task of sensor nodes in wireless sensor networks is to transmit a subset of sensor readings to the sink node estimating a desired data accuracy. Therefore in this…

cs.NI2012

Optimal Node Selection using Estimated Data Accuracy Model in Wireless Sensor Networks

Jyotirmoy Karjee, H. S Jamadagni

One of the major task of wireless sensor network is to sense accurate data from the physical environment. Hence in this paper, we develop an estimated data accuracy model for rando…

cs.NI2011★ 10 cited

Energy Aware Node Selection for Cluster-based Data Accuracy Estimation in Wireless Sensor Networks

Jyotirmoy Karjee, H. S Jamadagni

The main objective of this paper is to reduce the number of sensor nodes by estimating a trade off between data accuracy and energy consumption for selecting nodes in probabilistic…

cs.NI2011★ 14 cited

Data Accuracy Model for Distributed Clustering Algorithm based on Spatial Data Correlation in Wireless Sensor Networks

Jyotirmoy Karjee, H. S Jamadagni

Objective: The main objective of this paper is to construct a distributed clustering algorithm based upon spatial data correlation among sensor nodes and perform data accuracy for…

cs.NI2011

Data Accuracy Estimation for Spatially Correlated Data in Wireless Sensor Networks under Distributed Clustering

Jyotirmoy Karjee, H. S Jamadagni

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 clu…