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Data collection, storage, and retrieval with an underwater sensor network
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Source Conference On Embedded Networked Sensor Systems archive
Proceedings of the 3rd international conference on Embedded networked sensor systems table of contents
San Diego, California, USA
SESSION: Applications table of contents
Pages: 154 - 165  
Year of Publication: 2005
ISBN:1-59593-054-X
Authors
I. Vasilescu  MIT CSAIL, Cambridge, MA
K. Kotay  MIT CSAIL, Cambridge, MA
D. Rus  MIT CSAIL, Cambridge, MA
M. Dunbabin  CSIRO ICT Centre, Brisbane, Australia
P. Corke  CSIRO ICT Centre, Brisbane, Australia
Sponsors
SIGARCH: ACM Special Interest Group on Computer Architecture
SIGBED: ACM Special Interest Group on Embedded Systems
ACM: Association for Computing Machinery
SIGCOMM: ACM Special Interest Group on Data Communication
SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing
SIGMETRICS: ACM Special Interest Group on Measurement and Evaluation
SIGOPS: ACM Special Interest Group on Operating Systems
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 38,   Downloads (12 Months): 315,   Citation Count: 19
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ABSTRACT

In this paper we present a novel platform for underwater sensor networks to be used for long-term monitoring of coral reefs and fisheries. The sensor network consists of static and mobile underwater sensor nodes. The nodes communicate point-to-point using a novel high-speed optical communication system integrated into the TinyOS stack, and they broadcast using an acoustic protocol integrated in the TinyOS stack. The nodes have a variety of sensing capabilities, including cameras, water temperature, and pressure. The mobile nodes can locate and hover above the static nodes for data muling, and they can perform network maintenance functions such as deployment, relocation, and recovery. In this paper we describe the hardware and software architecture of this underwater sensor network. We then describe the optical and acoustic networking protocols and present experimental networking and data collected in a pool, in rivers, and in the ocean. Finally, we describe our experiments with mobility for data muling in this network.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
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CITED BY  20

Collaborative Colleagues:
I. Vasilescu: colleagues
K. Kotay: colleagues
D. Rus: colleagues
M. Dunbabin: colleagues
P. Corke: colleagues