Wireless Sensor Networks (ERCOFTAC Series) by C.S. Raghavendra, Krishna M. Sivalingam, Taieb Znati
By C.S. Raghavendra, Krishna M. Sivalingam, Taieb Znati
Wireless Sensor Networks offers a finished and tightly prepared compilation of chapters that surveys the various interesting learn advancements occurring during this box. Chapters are written through a number of of the best researchers solely for this booklet. Authors deal with the various key demanding situations confronted within the layout, research and deployment of instant sensor networks.
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Extra resources for Wireless Sensor Networks (ERCOFTAC Series)
Large-scale sensor networks will not be able to simply send all the raw sensor data back to a centralized recording point. Energy and channel capacity constraints will require as much localized processing as possible, delivering only a (small) high-level sensing result. As we described earlier, a perfect system will reduce as much data as possible as early as possible, rather than Sensor Networks: A Bridge to the Physical World 17 incur the energy expense of transmitting raw sensor values further along the path to the user.
But embedded processors have typically lived in isolation, each working independently. Without communication, their sole, tenuous link to one another is the humans who use them. Wireless communication facilitates the integration of individual processors into an interconnected collective. The mass consumption of wireless devices has driven the technology through an optimization similar to microprocessors, with modern radios consuming less power, space, and money than their predecessors. Sensor networks differ significantly in their communication model from typical consumer wireless devices.
Small micro-controllers have been commonplace for so-called “embedded” applications for many years—computers, for example, that run digital radios, engine valve timing, and thermostats. Indeed, some 97% of processors manufactured are destined for such applications, rather than for personal computers on desks. But embedded processors have typically lived in isolation, each working independently. Without communication, their sole, tenuous link to one another is the humans who use them. Wireless communication facilitates the integration of individual processors into an interconnected collective.