Data filtering in wireless sensor networks using neural networks for storage in cloud
| Autor: | V. M. Manikandan, L.P. Dinesh Kumar, M. R. Sumalatha, Akshaya Krishnan, R. Chinraj, S. Shakena Grace |
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| Rok vydání: | 2012 |
| Předmět: |
Data processing
Computer science Gateway (telecommunications) Visual sensor network business.industry Group method of data handling ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS Cloud computing Key distribution in wireless sensor networks Computer Science::Networking and Internet Architecture Mobile wireless sensor network business Computer Science::Operating Systems Wireless sensor network Computer network |
| Zdroj: | 2012 International Conference on Recent Trends in Information Technology. |
| DOI: | 10.1109/icrtit.2012.6206836 |
| Popis: | In this paper, wireless sensor networks are integrated with the cloud environment to aid in the storage and easier processing of data. The concept of gateways is introduced for linking wireless sensor networks and cloud. The sensor gateway collects information from the sensor nodes, compresses it and transmits it to the cloud gateway which in-turn decompresses it and stores in the cloud server. The gateway monitors all the sensors in its cluster and gets data from them. The paper uses neural networks for filtering at the sensor gateway to find anomalies in the values sensed. The proposed architecture reduces the power consumption as the major portion of data processing is done at the gateways and also since the data is periodically updated in the cloud, the storage requirements of the gateway and the sensors is minimal. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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