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Sensenet: a wireless sensor network testbed
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International Workshop on Modeling Analysis and Simulation of Wireless and Mobile Systems archive
Proceedings of the 10th ACM Symposium on Modeling, analysis, and simulation of wireless and mobile systems table of contents
Chania, Crete Island, Greece
SESSION: Methodologies and tools table of contents
Pages: 143 - 150  
Year of Publication: 2007
ISBN:978-1-59593-851-0
Authors
Tasos Dimitriou  Athens Information Technology, Peania, Greece
John Kolokouris  Athens Information Technology, Peania, Greece
Nikos Zarokostas  Athens Information Technology, Peania, Greece
Sponsors
ACM: Association for Computing Machinery
SIGSIM: ACM Special Interest Group on Simulation and Modeling
Publisher
ACM  New York, NY, USA
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ABSTRACT

Wireless sensor networks have emerged as an exciting new area of research in computer science. Continuously shrinking battery powered nodes are equipped with processing, sensing and RF capabilities. However, deploying a network into a realistic environment requires iteratively reprogramming dozens of nodes, locating them throughout an area large enough to produce an interesting radio topology, and instrumenting them to extract debugging and performance data.

A number of testbed approaches have been proposed by universities and industry to ease the burden imposed by this deployment exercise. These testbeds vary in the number and type of motes employed and the manner they are connected to the central computer system. For example a separate wired back-channel is usually used for reprogramming, network management and data logging issues. However, this introduces increased cost due to additional hardware equipment required and exhibits low scalability. In this work, we present an efficient and low cost sensor network testbed that exploits only the wireless channel to transfer data and orders an additional number of benefits to users and administrators like ease of deployment, ease of use, no need of a wired infrastructure, coping with multiple users at the same time and most importantly scalability.


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
Chee-Yee Chong and Srikanta P. Kumar, "Sensor networks: Evolution, Opportunities and Challenges," in Proceedings of IEEE, vol. 91, no.8, August 2003.
 
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Collaborative Colleagues:
Tasos Dimitriou: colleagues
John Kolokouris: colleagues
Nikos Zarokostas: colleagues