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ISSN 2063-5346
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Anomaly Detection System for Wireless Sensor Networks using Machine Learning

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Sumit Vikram Tripathi 1 , Dr. Sumana M 2
» doi: 10.48047/ecb/2023.12.8.732

Abstract

Wireless Sensor Networks (WSNs) are turning into a more famous area of concentrate in software engineering since they have so many purposes and could prompt new ideas. This has prompted a cooperative report field where clients, specialists in application spaces, equipment producers, and programming journalists should work intently together to make frameworks that function admirably. Utilizing WSNs to do things like track down shortcomings, track down interruptions, and watch out for things is hard a direct result of tracking down irregularities. Anomaly detection techniques should be planned in light of the restrictions of sensor organizations, with the goal that sensor hubs use as little energy as could really be expected and the organization endures as far as might be feasible.

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