2026-09-19T05:37:48Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/287702022-01-13T07:55:03Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Joseph A. Paradiso.
Laibowitz, Matthew Joel, 1975-
Massachusetts Institute of Technology. Dept. of Architecture. Program in Media Arts and Sciences.
Program in Media Arts and Sciences (Massachusetts Institute of Technology)
2005-09-27T18:15:07Z
2005-09-27T18:15:07Z
2004
2004
http://hdl.handle.net/1721.1/28770
60128653
Thesis (S.M.)--Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2004.
Includes bibliographical references (p. 213-216).
Distributed sensor networks offer many new capabilities for monitoring environments with applicability to medical, industrial, military, anthropological, and experiential fields. By making such systems mobile, we increase the application-space for the distributed sensor network mainly by providing dynamic context-dependent deployment, continual relocatabililty, automatic node recovery, and a larger area of coverage. In existing models, the addition of actuation to sensor network nodes has exacerbated three of the main problems with these types of systems: power usage, node size, and node complexity. This work proposes a solution to these problems in the form of parasitically actuated nodes that gain their mobility and local navigational intelligence by selectively engaging and disengaging from mobile hosts in their environment. This body of work evaluates parasitically actuated sensor networks as a solution to these problems through extensive software simulation and by designing, implementing, and demonstrating a parasitically mobile sensor network.
by Matthew Joel Laibowitz.
S.M.
216 p.
6875005 bytes
6902799 bytes
application/pdf
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en_US
Massachusetts Institute of Technology
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http://dspace.mit.edu/handle/1721.1/7582
Architecture. Program in Media Arts and Sciences.
Parasitic mobility for sensate media
Thesis
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Publication
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unknown
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