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

2012/03/10 by Jyotirmoy Karjee, Karjee, Jyotirmoy, H. S Jamadagni +1
Computer Science · #Energy Efficient Wireless Sensor Networks #FOS: Computer and information sciences #Networking and Internet Architecture (cs.NI) #cs.NI

paper · pdf · doi:10.48550/arxiv.1203.2234

6 pages

arxiv created 2012/03/10 · openalex publication_date 2012/03/10 · arxiv updated 2012/03/13 · openalex created_date 2022/10/04 · openalex updated_date 2026/07/28

Abstract

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 randomly deployed sensor nodes which can sense more accurate data from the physical environment. We compare our results with other information accuracy models and shows that our estimated data accuracy model performs better than the other models. Moreover we simulate our estimated data accuracy model under such situation when some of the sensor nodes become malicious due to extreme physical environment. Finally using our estimated data accuracy 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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