MEMS

Authors(4) :-Nagamani Patil, Ramakrishna Pathak, Rashmi Meti, Sudeep Kashetti

Autonomous sensing and communication in a cubic millimeter Berkeley’s Smart Dust project, led by Professors Pister and Kahn, explores the limits on size and power consumption in autonomous sensor nodes. Size reduction is paramount, to make the nodes as inexpensive and easy-to-deploy as possible. The research team is confident that they can incorporate the requisite sensing, communication, and computing hardware, along with a power supply, in a volume no more than a few cubic millimeters, while still achieving impressive performance in terms of sensor functionality and communications capability. These millimeter-scale nodes are called “Smart Dust.” It is certainly within the realm of possibility that future prototypes of Smart Dust could be small enough to remain suspended in air, buoyed by air currents, sensing and communicating for hours or days on end.

Authors and Affiliations

Nagamani Patil
Department of Electrical and Electronics Engineering Smt. Kamala and Shri Venkappa, M. Agadi College of Engineeiring and Technology Laxmeshwar, Karnataka, India
Ramakrishna Pathak
Department of Electrical and Electronics Engineering Smt. Kamala and Shri Venkappa, M. Agadi College of Engineeiring and Technology Laxmeshwar, Karnataka, India
Rashmi Meti
Department of Electrical and Electronics Engineering Smt. Kamala and Shri Venkappa, M. Agadi College of Engineeiring and Technology Laxmeshwar, Karnataka, India
Sudeep Kashetti
Department of Electrical and Electronics Engineering Smt. Kamala and Shri Venkappa, M. Agadi College of Engineeiring and Technology Laxmeshwar, Karnataka, India

Publication Details

Published in : Volume 4 | Issue 5 | March-April 2018
Date of Publication : 2018-04-14
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 192-201
Manuscript Number : CSEIT184523
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Nagamani Patil, Ramakrishna Pathak, Rashmi Meti, Sudeep Kashetti, "MEMS", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 4, Issue 5, pp.192-201, March-April-2018.
Journal URL : http://ijsrcseit.com/CSEIT184523

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