Wireless Sensor Networks-Solutions and Market OpportunitiesMay 9, 2008
The Research and Markets study reports on current trends and the future prospects of the technology that promises to revolutionize the way we live, work, and interact with the physical environment.
DUBLIN, Ireland /BUSINESS WIRE)--Research and Markets has announced the addition of "Wireless Sensor Networks: Solutions and Market Opportunities" to its offering.
Advances in wireless networking, micro-fabrication and integration (e.g., sensors and actuators manufactured using micro-electromechanical system, or MEMS, technology), and embedded microprocessors have enabled a new generation of massive-scale sensor networks suitable for a range of commercial and military applications. The technology promises to revolutionize the way we live, work, and interact with the physical environment.
In the not-too-distant future, tiny, dirt-cheap sensors may be literally sprayed onto roads, walls, or machines, creating a digital skin that senses a variety of physical phenomena of interest, monitors pedestrian or vehicular traffic in human-aware environments and intelligent transportation grids, reports wildlife habitat conditions for environmental conservation, detects forest fire to aid rapid emergency response, and tracks jobs and supply chains in smart factories. Unlike current information services, such as those on the Internet, where information can easily get stale or be useless because it is too generic, sensor networks promise to couple end users directly to sensor measurements and provide information that is precisely localized in time and/or space, according to the users' needs or demands.
"Wireless Sensor Networks: Solutions and Market Opportunities" addresses the important areas of sensor networks. Present and future areas will be presented to the reader to give a clear idea of what the sensor network is capable of. The current trends and the future prospects will be highlighted as well, making the report uniquely targeted toward a better understanding of sensor networks.
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