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.
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Karjee, J., Jamadagni, H.S. (2013). Optimal Node Selection Using Estimated Data Accuracy Model in Wireless Sensor Networks. In: Das, V. (eds) Proceedings of the Third International Conference on Trends in Information, Telecommunication and Computing. Lecture Notes in Electrical Engineering, vol 150. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-3363-7_22
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DOI: https://doi.org/10.1007/978-1-4614-3363-7_22
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