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Sensor Networks and Signal Processing

Editat de Sheng-Lung Peng, Margarita N. Favorskaya, Han-Chieh Chao
en Limba Engleză Hardback – 17 iul 2020

Actualizarea adusă de Sensor Networks and Signal Processing constă în integrarea soluțiilor hibride ce îmbină procesarea de semnal cu arhitecturile Internet of Things, rezultate în urma conferinței internaționale SNSP 2019. Notăm cu interes tranziția de la abordările pur teoretice către implementări specifice, cum ar fi utilizarea accelerometrelor pentru monitorizarea exercițiilor fizice sau sisteme multisenzor pentru controlul poluării apelor. Dacă Wireless Sensor Networks de Songtao Guo v-a oferit cadrul teoretic al rețelelor din China, această carte oferă instrumentele practice necesare pentru optimizarea rutării și gestionarea eficienței energetice în sisteme eterogene la nivel global. Descoperim aici o structură riguroasă, organizată pentru a ghida cititorul de la nivelul fizic — antene micro-strip cu cuplaj redus — până la algoritmi distribuiți și analize de performanță Big Data. Putem afirma că lucrarea completează organic opera editorilor, făcând puntea între monitorizarea resurselor explorată în Water Informatics și sistemele avansate de comunicații din Micro-Electronics and Telecommunication Engineering. Volumul nu se limitează la descrierea protocoalelor, ci analizează critic strategii precum alocarea puterii în surse de curent constant și eficiența transmisiei prin rezonanță magnetică, oferind o perspectivă tehnică asupra viitorului comunicațiilor wireless și al sistemelor embedded.

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Specificații

ISBN-13: 9789811549168
ISBN-10: 9811549168
Pagini: 620
Ilustrații: XVIII, 600 p. 321 illus., 235 illus. in color.
Dimensiuni: 160 x 241 x 37 mm
Greutate: 1.2 kg
Ediția:1st edition 2021
Editura: Springer
Locul publicării:Singapore, Singapore

De ce să citești această carte

Această lucrare este esențială pentru inginerii și cercetătorii care caută implementări concrete în domeniul WSN și IoT. Cititorul câștigă acces la studii de caz documentate despre rutarea RPL în 6LoWPAN și tehnici de procesare a semnalului aplicate în recunoașterea modelelor, oferind soluții directe pentru problemele de eficiență energetică și securitate în rețelele de senzori moderne.


Despre autor

Echipa editorială este condusă de Sheng-Lung Peng, Margarita N. Favorskaya și Han-Chieh Chao, experți recunoscuți în arhitecturi de rețea și sisteme inteligente. Sheng-Lung Peng este un prolific coordonator de volume tehnice, cu o expertiză ce variază de la Data, Engineering and Applications la tehnologii emergente precum Metaverse and Immersive Technologies. Margarita N. Favorskaya aduce o perspectivă valoroasă asupra procesării de imagine și semnal, contribuind constant la literatura de specialitate Springer prin lucrări ce analizează convergența dintre inteligența artificială și analiza datelor complexe, asigurând un standard academic înalt pentru conferința SNSP.


Descriere scurtă

This book offers a collection of high-quality research papers presented at the 2nd International Conference on Sensor Networks and Signal Processing (SNSP 2019), held in Taiwan on November 19–22, 2019. It presents novel contributions in the areas of sensor and actuator networks, wireless networks, networking and protocols, security and privacy, wireless communications, distributed algorithms, Internet of Things, system modeling and performance analysis, fault tolerance/diagnostics, information management, data mining and analysis, embedded systems design, signal theory, signal and image processing, detection and estimation, spectral analysis, software developments, pattern recognition, data processing, remote sensing, big data, machine learning, information and coding theory, and industrial applications. 

Cuprins

An Improved Clustering Routing Algorithm for Heterogeneous Wireless Sensor Network.- Improvement of RPL Routing Strategy Based on 6LoWPAN.- Design of a New Multi-output Constant Current Source Based on Power Allocation Control Strategy.- Use Accelerometer to Monitoring the Exercise Status: Held the Push-ups Movement as an Example.- Low-coupling 2*1 Micro-strip Antenna Array Based on Defect Structure.- Power Control in D2D Underlay Distributed Antenna Systems.- Analysis of Transmission Efficiency of Magnetically Coupled Resonant Radio Energy.- Remote Monitoring of River Water Pollution Using Multiple Sensor System of WSNs and IoT.  

Notă biografică

Sheng-Lung Peng is a Professor of the Department of Computer Science and Information Engineering, National Dong Hwa University, Taiwan. He is an Honorary Professor at Beijing Information Science and Technology University, China, and a Visiting Professor at Ningxia Institute of Science and Technology, China. He is also an Adjunct Professor at Mandsaur University, India. He serves as the Director of the ICPC Asia Taipei-Hsinchu Site and as Director of the Institute of Information and Computing Machinery; of the Information Service Association of Chinese Colleges; and of the Taiwan Association of Cloud Computing. His research interests are in designing and analyzing algorithms for bioinformatics, combinatorics, data mining, and networks; areas in which he has published over 100 research papers. 
Margarita N. Favorskaya is a Professor and Head of the Department of Informatics and Computer Techniques at Reshetnev Siberian State University of Science and Technology,Russian Federation. She has been a member of KES since 2010. She serves as a reviewer for several international journals (Neurocomputing, Knowledge Engineering and Soft Data Paradigms, Pattern Recognition Letters, Engineering Applications of Artificial Intelligence); as an Associate Editor for Intelligent Decision Technologies Journal, the International Journal of Knowledge-Based and Intelligent Engineering Systems, and the International Journal of Reasoning-based Intelligent Systems; and as an Honorary Editor for the International Journal of Knowledge Engineering and Soft Data Paradigms. Having published more than 200 papers, her main research interests are in digital image and video processing, remote sensing, pattern recognition, fractal image processing, artificial intelligence, and information technologies. 
Han-Chieh Chao is currently a Professor at the Department of Electrical Engineering, National Dong Hwa University, where he also serves as President. He is alsoaffiliated with the Department of Computer Science and Information Engineering and the Department of Electronic Engineering, National Ilan University, Taiwan; College of Mathematics and Computer Science, Wuhan Polytechnic University, Wuhan, China; and Fujian University of Technology, Fuzhou, China. His research interests include high-speed networks, wireless networks, IPv6-based networks, digital creative arts, e-Government, and the digital divide. Having published over 400 research papers, he also serves as the Editor-in-Chief for the Institution of Engineering and Technology Networks, the Journal of Internet Technology, the International Journal of Internet Protocol Technology, and the International Journal of Ad Hoc and Ubiquitous Computing. He is a Fellow of the IET (IEE) and a Chartered Fellow of the British Computer Society. 

Caracteristici

Presents high-quality research in the areas of sensor networks and signal processing Discusses the outcomes of the SNSP 2019, held in Taiwan on November 19–22, 2019 Serves as a reference for researchers and practitioners in academia and industry