Wireless Rechargeable Sensor Networks

This SpringerBrief provides a concise guide to applying wireless energy transfer techniques in traditional battery-powered sensor networks. It examines the benefits and challenges of wireless power including efficiency and reliability. The authors build a wireless rechargeable sensor networks from s...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Yang, Yuanyuan (Συγγραφέας), Wang, Cong (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2015.
Σειρά:SpringerBriefs in Electrical and Computer Engineering,
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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100 1 |a Yang, Yuanyuan.  |e author. 
245 1 0 |a Wireless Rechargeable Sensor Networks  |h [electronic resource] /  |c by Yuanyuan Yang, Cong Wang. 
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300 |a XIII, 56 p. 19 illus.  |b online resource. 
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505 0 |a Introduction -- Network Architecture and Principles -- Distributed Node Status Reporting Protocol -- Recharge Scheduling -- Performance Evaluations -- Conclusions. 
520 |a This SpringerBrief provides a concise guide to applying wireless energy transfer techniques in traditional battery-powered sensor networks. It examines the benefits and challenges of wireless power including efficiency and reliability. The authors build a wireless rechargeable sensor networks from scratch and aim to provide perpetual network operation. Chapters cover a wide range of topics from the collection of energy information and recharge scheduling to joint design with typical sensing applications such as data gathering. Problems are approached using a natural combination of probability theory, optimization, algorithm and protocol designs. All proposed mechanisms are evaluated by extensive simulations. Wireless Rechargeable Sensor Networks targets professionals and researchers working in networks, wireless communications, energy technology and information technology. Advanced-level students studying electrical engineering and computer science will also find this material useful as a study guide. 
650 0 |a Computer science. 
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650 0 |a Electric power production. 
650 0 |a Electrical engineering. 
650 1 4 |a Computer Science. 
650 2 4 |a Computer Communication Networks. 
650 2 4 |a Communications Engineering, Networks. 
650 2 4 |a Energy Technology. 
700 1 |a Wang, Cong.  |e author. 
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