By Dharma Prakash Agrawal (auth.)
ISBN-10: 9811030375
ISBN-13: 9789811030376
ISBN-10: 9811030383
ISBN-13: 9789811030383
This inspiring textbook presents an important advent to instant applied sciences for sensors, explores the capability use of sensors for varied functions, and makes use of likelihood conception and mathematical tools as a method of embedding sensors in approach design.
The publication discusses the necessity for synchronization and underlying barriers, the interrelation among given insurance and connectivity to the variety of sensors wanted, and using geometrical distance to figure out the positioning of the bottom station for info assortment, whereas additionally exploring using anchor nodes to figure out the relative positions of sensors. The e-book addresses strength conservation, communique utilizing TCP, the necessity for clustering and knowledge aggregation, and residual strength decision and effort harvesting, including key issues in sensor verbal exchange like cellular base stations and relay nodes, delay-tolerant sensor networks, and distant sensing and power functions. The publication defines routing tools and function assessment for random and standard sensor topology and covers sensor-based intrusion detection.
The publication makes a speciality of functions reminiscent of interplay with actuators, ultimate layout with recognize to a given program, own and body-area networks for health-care purposes and sensor networks as an vital part of the IoT. the significance of either insurance and connectivity is tested completely in either randomly deployed sensor networks for cover functions and frequently positioned sensors for an commercial setup.
The content material comprises workouts in addition to design-based venture suggestions. The book’s complete assurance makes it compatible to be used as a textbook for graduate and top undergraduate classes, or as direction fabric for pro courses.
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Additional resources for Embedded Sensor Systems
Example text
A S-MAC message passing, b fragmentation in fixed data size . . . . . . . . . . . . . . . . . . . a Average packet latency in S-MAC, b throughput in S-MAC, c energy savings by S-MAC. . . . . . . a S-MAC, b T-MAC, c energy saving in T-MAC . . . a Duty cycle of B-MAC. b WSN lifetime in years. . . a Blind rebroadcast in a WSN with each SN doing this and b controlled rebroadcast in a WSN with only 4 rebroadcasts . . . . .
Flow transducers and associated features . . . . . . Temperature transducers and associated features . . . . Proximity transducers and associated features . . . . . Light transducers and associated features . . . . . . Smart material transducers and associated features. . . Smart micro- and nano-transducers and associated features . . . . . . . . . . . . . . . . . . Various transducers and associated characteristics . . . Opticaltransducers for measuring different parameters by measuring other quantities .
A Given area subdivided into hexagons, with at least one SN inside each hexagon. b Connectivity probability of randomly deployed SNs in three extreme cases . . . . a Probability of SNs connectivity for four different models as a function of SN density λs. b Probability of SNs connectivity for four different values of hexagons as a function of SN density λs for given SNs connectivity of 95% . . . . . . . . . . . . . a No. of neighbors for each SN with 95% area covered by connected SNs.
Embedded Sensor Systems by Dharma Prakash Agrawal (auth.)
by Daniel
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