Hierarchically Clustered Wireless Sensor Networks

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Wireless Sensor Networks has come into wide use owing to the rapid achievements in MEMS technologies, wireless communications and digital electronics. They have a wide range of applications including environmental monitoring, security surveillance, military applications and others. Energy considerations as well as data delivery are among the most important design issues of such networks. This book proposes novel and efficient techniques to maximize the network's lifetime while keeping complete network coverage. The techniques divide the network lifetime into rounds. Lifetime maximization depends on choosing a Network Master (NM) at the beginning of each round based on criteria that minimizes power consumption. The NM is rotated to distribute the energy load and each sensor has its turn to act as a NM for a certain number of cycles. The book also contributes in studying the effect of noisy environment on communications within the network and on data packets delivery. The book studies the tradeoff between increasing the average probability of receiving correct packets, through increasing the operating SNR, and increasing the network's lifetime, through using lower SNR.

Autorentext

Received the B.Sc. with honors (2007) and the M.Sc. (2009) degrees in Electronics and Electrical Communications Engineering from Cairo University, Egypt. He joined the AITF/iCORE Wireless Communications Laboratory, University of Alberta, Canada, in 2009. He is interested in wireless sensor networks, wireless cooperative networks and MIMO systems.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783848403219
    • Genre Elektrotechnik
    • Auflage Aufl.
    • Sprache Englisch
    • Anzahl Seiten 156
    • Größe H220mm x B150mm x T10mm
    • Jahr 2012
    • EAN 9783848403219
    • Format Kartonierter Einband
    • ISBN 3848403218
    • Veröffentlichung 21.03.2012
    • Titel Hierarchically Clustered Wireless Sensor Networks
    • Autor Samy S. Soliman
    • Untertitel Lifetime Optimization Techniques
    • Gewicht 250g
    • Herausgeber LAP LAMBERT Academic Publishing

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