Browsing by Author "David, Rachelle H."

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    A Raspberry Pi Mesh Sensor Network for Portable Perimeter Security
    (IEEE, 2019-10) Johnson, Cullen; Curtin, Brian H.; Shyamkumar, Nikhil; David, Rachelle H.; Dunham, Emmet D.; Haney, Preston C.; Moore, Harry L.; Babbitt, Thomas; Matthews, Suzanne J.
    Wireless sensor networks play an important role for perimeter monitoring in remote environments. While commercial wireless sensor networks for providing audio-visual monitoring exist, they are often expensive to deploy. In this paper, we describe and implement a wireless mesh network consisting of inexpensive battery-operated Raspberry Pi nodes. The choice of the Raspberry Pi enables the construction of cost-effective sensor nodes that are extendable and expendable. We conduct a series of test to illustrate the efficacy of our network in a building monitoring use case. Our nodes can be built for as little as 49.00 per node and is capable of node-to-node transmission of up to 50 feet. Custom sleep states enable battery life to last 14 hours on 4 AA batteries. Our results support our thesis that an all-Pi mesh sensor is capable of providing portable perimeter security.
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    Designing a Raspberry Pi sensor network for remote observation of wildlife
    (ACM, 2019-04) Curtin, Brian H.; David, Rachelle H.; Dunham, Emmet D.; Johnson, Cullen; Shyamkumar, Nikhil; Babbitt, Thomas; Matthews, Suzanne J.
    Scientists and the military need unobtrusive methods of observing wildlife. In this poster, we assess the feasibility of a Raspberry Pi sensor network for wildlife detection and monitoring. While technology for wildlife observation such as camera traps exist, they are expensive and/or require human intervention to collect the data. An inexpensive sensor network that can take pictures of wildlife with negligible human intervention will enable scientists and military personnel to discretely detect the presence of endangered wildlife. Each raspberry pi sensor node collects data for transmission to a remote user via an android app interface. In order to improve battery efficiency, the system features an adaptable network with four distinct sleep modes. We also explore increasing the range and durability of the network by integrating a mesh network.