By Christian Poellabauer (Author) by Waltenegus Dargie (Author)
Chapter 1 Motivation for a community of instant Sensor Nodes (pages 1–16):
Chapter 2 purposes (pages 17–45):
Chapter three Node structure (pages 47–68):
Chapter four working structures (pages 69–91):
Chapter five actual Layer (pages 93–123):
Chapter 6 Medium entry keep watch over (pages 125–162):
Chapter 7 community Layer (pages 163–204):
Chapter eight strength administration (pages 205–227):
Chapter nine Time Synchronization (pages 229–248):
Chapter 10 Localization (pages 249–266):
Chapter eleven safeguard (pages 267–284):
Chapter 12 Sensor community Programming (pages 285–301):
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Additional info for Fundamentals of Wireless Sensor Networks
2000) Wireless integrated network sensors. Communications of the ACM . , and Patel, D. (2000) Picoradio: Ad hoc wireless networking of ubiquitous low-energy sensor/monitor nodes. Proc. of the IEEE Computer Society Annual Workshop on VLSI. , and Sinclair, M. (2002) Wake-on wireless: An event driven energy saving strategy for battery operated devices. Proc. of the ACM/IEEE International Conference on Mobile Computing and Networking (MobiCom). , and Chandrakasan, A. (2001) Physical layer driven protocol and algorithm design for energy-efficient wireless sensor networks.
N is a damage variable. Consequently, given δω = Sδz, the multiple damage location assurance criterion (MDLAC) is given as: MDLACj = ωT Sδzj ωT . ωj . 4) . 4) lies in evaluating all possible combinations of damage variables that maximize the MDLAC. Efficient search algorithms, such as genetic algorithms, can be applied to determine the correct set of damage variables, but this can only be made at the cost of computational complexity. Multiple damage detection techniques, which use mode shapes instead of natural frequency changes, can avoid the sensitivity matrix thereby bypassing the need to apply search algorithms.
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Fundamentals of Wireless Sensor Networks by Christian Poellabauer (Author) by Waltenegus Dargie (Author)