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dc.contributor.advisorFonseca, Beneditoen_US
dc.contributor.authorHaddon, Krissie A. 1997-en_US
dc.contributor.authorOwen, Caleben_US
dc.contributor.authorKamar, Anthonyen_US
dc.date.accessioned2019-05-08T16:05:08Z
dc.date.available2019-05-08T16:05:08Z
dc.date.issued2019-05-04
dc.identifier.urihttps://commons.lib.niu.edu/handle/10843/20043
dc.description.abstractIn a world dependent on technology, data can be an important asset when applying for any sort of funding or resources. Our goal was to create a scalable, low cost, low maintenance mesh network platform that can be paired with sensors to allow for easy data collection from a geographical area. This will give a geographical area, like a park or hiking trail, the ability to track how many people are using the area and facilities on a daily basis. For each node, we used a combination of three infrared sensors to detect the presence of humans, a ZigBee device to allow the nodes to communicate, an Atmega328p microcontroller for the brains, a lead acid battery for power, one solar panel to not only charge the battery but also extend the life of the battery, and a charge controller to effectively charge the battery. Everything except the solar panel will be inside of a plastic enclosure, with the solar panel mounted separately. The enclosure and its contents will then be mounted in the desired location and wirelessly connected to the other nodes in the area. There will be a base station for all of the nodes in a given area to send information back to, in order for the data to be processed and finally used. All three of us enjoy hiking trails and parks; therefore, having the opportunity to give geographical areas a way to obtain data on how many people enjoy their services is something we all find very rewarding. It is our way of giving back to these areas, and to help them prosper even longer.en_US
dc.format.extent75 pagesen_US
dc.language.isoen_USen_US
dc.publisherNorthern Illinois Universityen_US
dc.rightsNIU theses are protected by copyright. They may be viewed from Huskie Commons for any purpose, but reproduction or distribution in any format is prohibited without the written permission of the authors.en_US
dc.subjectMesh Networken_US
dc.subjectMesh Sensor Networken_US
dc.subjectParksen_US
dc.titleScalable Low-Cost Monitoring and Data Collecting Mesh Sensor Networken_US
dc.type.genreDissertation/Thesisen_US
dc.typeTexten_US
dc.contributor.departmentDepartment of Electrical Engineeringen_US
dc.description.degreeB.S. (Bachelor of Science)en_US


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