| dc.contributor.advisor | Jonathan Bachrach. | en_US |
| dc.contributor.author | Eames, Adam McLendon | en_US |
| dc.contributor.other | Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. | en_US |
| dc.date.accessioned | 2006-07-13T15:11:45Z | |
| dc.date.available | 2006-07-13T15:11:45Z | |
| dc.date.copyright | 2005 | en_US |
| dc.date.issued | 2005 | en_US |
| dc.identifier.uri | http://hdl.handle.net/1721.1/33277 | |
| dc.description | Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2005. | en_US |
| dc.description | Includes bibliographical references (p. 67-68). | en_US |
| dc.description.abstract | Wireless sensor networks can provide real time navigation instructions to robots or people attempting to travel in hazardous environments. This thesis presents the design, analysis, and implementation of a distributed system providing path planning and threat avoidance capability to mobile users. Contributions of the system include a unique framework for modeling for the effects of threats as well as original algorithms for discovering the safest path between any two points in the network. The prototype implementation was built using the Cricket v2 / TinyOS platform, and the results from tests of the implementation are presented. | en_US |
| dc.description.statementofresponsibility | by Adam McLendon Eames. | en_US |
| dc.format.extent | 68 p. | en_US |
| dc.format.extent | 3124364 bytes | |
| dc.format.extent | 3126700 bytes | |
| dc.format.mimetype | application/pdf | |
| dc.format.mimetype | application/pdf | |
| dc.language.iso | eng | en_US |
| dc.publisher | Massachusetts Institute of Technology | en_US |
| dc.rights | M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. | en_US |
| dc.rights.uri | http://dspace.mit.edu/handle/1721.1/7582 | |
| dc.subject | Electrical Engineering and Computer Science. | en_US |
| dc.title | Enabling path planning and threat avoidance with wireless sensor networks | en_US |
| dc.type | Thesis | en_US |
| dc.description.degree | M.Eng. | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science | |
| dc.identifier.oclc | 62256712 | en_US |
