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

  • Jyotirmoy Karjee
  • H. S. Jamadagni
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 150)

Abstract

One of the major tasks of wireless sensor network is to sense accurate data from the physical environment. Hence in this paper, we propose a new methodology called Estimated Data Accuracy Model (EDAM) for randomly deployed sensor nodes which can sense more accurate data from the physical environment. We compare our results with other information accuracy models which show that EDAM performs better than the other models. Moreover we simulate EDAM under such situation where some of the sensor nodes become malicious due to extreme physical environment. Finally using our propose model, we construct a probabilistic approach for selecting an optimal set of sensor nodes from the randomly deployed maximal set of sensor nodes in the network.

Keywords

Data accuracy Spatial correlation Optimal sensor nodes Wireless sensor networks 

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Copyright information

© Springer Science+Business Media New York 2013

Authors and Affiliations

  1. 1.Department of Electronic Systems EngineeringIndian Institute of ScienceBangaloreIndia

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