000			01758cmm a2200265 a 4500
001			46824
003			IN-BdCUP
005			20230426175559.0
008			230426s2023 u eng
020			_a9781482250978
040			_beng _cIN-BdCUP
041			_aeng
082			_a004.600 _bM215
100			_aMahmoud, Magdi S.
245		0	_aNetworked filtering and fusion in wireless sensor networks / _cauthors, Magdi S. Mahmoud, Yuanqing Xia
260			_aBoca Raton : _bTaylor & Francis, _c[2015];©2015
300			_a1 online resource
505			_a1. Introduction -- 2. Wireless sensor networks -- 3. Distributed sensor fusion -- 4. Distributed Kalman filtering -- 5. Expectation maximization -- 6. Wireless estimation methods -- 7. Multi-sensor fault estimation -- 8. Multi-sensor data fusion -- 9. Approximate distributed estimation -- 10. Estimation via information matrix -- 11. Filtering in sensor networks
520			_aWireless sensor networks (WSNs) produce much data that needs to be processed, delivered, and assessed according to application objectives. Information fusion arises as a response to data gathered by sensor nodes and benefits from their processing capability. This book is about the current state of information fusion. It presents the known methods, algorithms, architectures, and models of information fusion, and discusses their applicability in the context of WSNs. Consideration is given to the range of topics treated in the current literature and presenting results of typical case studies
650			_aMultisensor data fusion
650			_aInformation filtering systems
700			_aXia, Yuanqing
856			_3Electronic Book Resource _uhttps://www.taylorfrancis.com/books/9781482250978
942			_2ddc _cE
999			_c48834 _d48834