Skip to content
Meru Staging

    Meru Staging

    Meru Staging
    With modularity, interoperability, and openness as guiding principles, Next Generation Library Publishing (NGLP), is developing library publishing resources that combine the values alignment of open source software with the convenience of turnkey publishing and repository solutions. The project is simultaneously building interoperable software components tailored to the unique needs of library publishers and designing business and governance models, values-based assessment frameworks, and pilot implementations that will bring our code to life. This is a test instance undergoing active development.
    Meru Staging
    Explore
    • Home
    • Communities
    • Admin

    © Copyright 2022 Meru

    • /
    • Test Community with Units/
    • Center for Embedded Network Sensing/
    • Papers/

    bin zhang, David A. Caron, Carl Oberg, Amit Dhariwal, and 4 more June 1, 2006

    As part of our research, we have designed and developed sensor-actuated network for marine monitoring. The network consists of ten static buoy nodes and one mobile robotic boat for real-time in-situ measurements and analysis of chemical, physical and biologically pertinent phenomena governing the abundance of micro-organisms at relevant spatio-temporal scales. The goal of the network is to obtain high-resolution information on the spatial and temporal distribution of plankton assemblages in aquatic environments using the in situ presence afforded by the network, and to make possible network-enabled robotic sampling of hydrographic features of interest. This work constitutes advances in (1) real-time observing in aquatic ecosystems and (2) sensor- actuated sampling for biological analysis.

    Ultimately such systems will be able to establish patterns in the sensed data, and use their mobility to adapt sample collection, a major step forward in the use of embedded networked sensing in aquatic ecosystems. The field work has demonstrated the basic functionality of the system. The data collected from the deployments revealed interesting spatio-temporal patterns of chlorophyll, and were useful to validate the design of the buoys and the boat. Static buoys provide low-resolution spatial sampling with high temporal resolution while a mobile robot boat provides high resolution spatial sampling with low temporal resolution.

    As part of the demonstration, we will be having our robotic boat at the event equipped with its sensor suite. The robotic boat is equipped with sensors for navigation, instrumentation for data gathering (temperature and chlorophyll) and can communicate with other entities in the environment over wireless 802.11b network and exchange information with them. As part of its capabilities, the boat can be hand-driven via an RC- controller or computer interface. Alternately, a user can specify a path for the boat in terms of gps locations to go to (in order) and the boat can than traverse the path autonomously and collect environmental data as it moves which can be streamed back and analyzed.

    We will also have on display our results from experiments with autonomous boat navigation and navigation improvements by running a simple EKF.

    Download PDF
    166 Views
    101 Downloads
    Skip to content
    • Full Text
    • Metadata
    • Files
    • Contributors
    • Metrics

    Metadata

    • Authorsbin zhang, David A. Caron, Carl Oberg, Amit Dhariwal, Arvind Antonio Menezes Pereira, Stefanie Moorthi, Beth Stauffer, Gaurav Sukhatme
    • Deposited January 3, 2022
    • Available January 3, 2022
    • ISSN--
    • Text Versionqt84w8b6b9.pdf.txt
    • PDF Versionqt84w8b6b9.pdf