Estimation of secured wireless sensor networks and its significant observation for improving energy efficiency using cross- learning algorithms
- Title
- Estimation of secured wireless sensor networks and its significant observation for improving energy efficiency using cross- learning algorithms
- Creator
- Rao S.S.; Butchi Raju K.; Nalajala S.; Vatambeti R.
- Description
- Wireless sensor networks (WSNs) have as of late been created as a stage for various significant observation and control applications. WSNs are continuously utilized in different applications, for example, therapeutic, military, and mechanical segments. Since the WSN is helpless against assaults, refined security administrations are required for verifying the information correspondence between hubs. Because of the asset limitations, the symmetric key foundation is considered as the ideal worldview for verifying the key trade in WSN. The sensor hubs in the WSN course gathered data to the base station. Despite the fact that the specially appointed system is adaptable with the variable foundation, they are exposed to different security dangers. Grouping is a successful way to deal with vitality productivity in the system. In bunching, information accumulation is utilized to diminish the measure of information that streams in the system. 2021 by IGI Global.
- Source
- Handbook of Research on Innovations and Applications of AI, IoT, and Cognitive Technologies, pp. 450-467.
- Date
- 2021-01-01
- Publisher
- IGI Global
- Coverage
- Rao S.S., Mahatma Gandhi Institute of Technology, India; Butchi Raju K., GRIET, India; Nalajala S., Department of Computer Science Engineering, KLEF, Guntur, Andhra Pradesh, India; Vatambeti R., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Bangalore, India
- Rights
- Restricted Access
- Relation
- ISBN: 978-179986872-9
- Format
- Online
- Language
- English
- Type
- Book chapter
Collection
Citation
Rao S.S.; Butchi Raju K.; Nalajala S.; Vatambeti R., “Estimation of secured wireless sensor networks and its significant observation for improving energy efficiency using cross- learning algorithms,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 23, 2025, https://archives.christuniversity.in/items/show/18764.