research-article

Using a multi-functional sensor network platform for large-scale applications to ground, air, and water tasks

Authors:

Daniela RusAuthors Info & Claims

HotEmNets '10: Proceedings of the 6th Workshop on Hot Topics in Embedded Networked Sensors

Article No.: 15, Pages 1 - 5

https://doi.org/10.1145/1978642.1978662

Published: 28 June 2010 Publication History

Get Access

Abstract

We present a modular sensor network platform capable of supporting a wide range of applications. We developed a platform to support a broad spectrum of scenarios, instantiating our system for applications on the ground, in the water, and in the air. Our system has operated in the field for over 240 days with month long continuous deployments, measuring positions, temperatures, pressures, and rainfall, while computing cattle behaviors, event locations, and future river level. We use this experimental experience to discuss the lessons learned in designing and using a modular and multi-functional system.

References

[1]

R. Adler, M. Flanigan, J. Huang, R. Kling, N. Kushalnagar, L. Nachman, C. Wan, and M. Yarvis. Intel Mote 2: an advanced platform for demanding sensor network applications. In Proceedings of the International Conference on Embedded Networked Sensor Systems (SenSys), San Diego, CA, USA, 2005. ACM.

Digital Library

Google Scholar

[2]

E. Basha, S. Ravela, and D. Rus. Model-based monitoring for early warning flood detection. In Proceedings of the International Conference on Embedded Networked Sensor Systems (SenSys), Raleigh, NC, USA, November 5--7 2008. ACM.

Digital Library

Google Scholar

[3]

J. Beutel, S. Gruber, A. Hasler, R. Lim, A. Meier, C. Plessl, I. Talzi, L. Thiele, C. Tschudin, M. Woehrle, and M. Yuecel. Demo abstract: Operating a sensor network at 3500 m above sea level. In Proceedings of the International Conference on Information Processing in Sensor Networks (IPSN). IEEE Computer Society, 2009.

Digital Library

Google Scholar

[4]

P. Dutta, J. Hui, J. Jeong, S. Kim, C. Sharp, J. Taneja, G. Tolle, K. Whitehouse, and D. Culler. Trio: enabling sustainable and scalable outdoor wireless sensor network deployments. In Proceedings of the International Conference on Information Processing in Sensor Networks (IPSN), Nashville, TN, USA, 2006. ACM.

Digital Library

Google Scholar

[5]

A. Ledeczi, T. Hay, P. Volgyesi, D. Hay, A. Nadas, and S. Jayaraman. Wireless acoustic emission sensor network for structural monitoring. Sensors Journal, IEEE, 9(11):1370--1377, 2009.

Crossref

Google Scholar

[6]

P. Levis, S. Madden, J. Polastre, R. Szewczyk, K. Whitehouse, A. Woo, D. Gay, J. Hill, M. Welsh, E. Brewer, and D. Culler. TinyOS: an operating system for sensor networks. Ambient Intelligence, pages 115--148, 2005.

Crossref

Google Scholar

[7]

L. Nachman, J. Huang, J. Shahabdeen, R. Adler, and R. Kling. IMOTE2: serious computation at the edge. In Proceedings of the International Conference on Wireless Communications and Mobile Computing (IWCMC), Crete, Greece, 2008.

Crossref

Google Scholar

[8]

L. Nachman, R. Kling, R. Adler, J. Huang, and V. Hummel. The intel mote platform: a bluetooth-based sensor network for industrial monitoring. In Proceedings of the International Conference on Information Processing in Sensor Networks (IPSN), Los Angeles, CA, USA, 2005.

Digital Library

Google Scholar

[9]

Phillips. LPC241x User Manual, 2 edition, July 2006.

Google Scholar

[10]

N. B. Priyantha, A. Chakraborty, and H. Balakrishnan. The cricket location-support system. In Proceedings of the International Conference on Mobile Computing and Networking (MOBICOM), pages 32--43, Boston, MA, USA, August 2000.

Digital Library

Google Scholar

[11]

M. Schwager, C. Detweiler, I. Vasilescu, D. M. Anderson, and D. Rus. Data-Driven identication of group dynamics for motion prediction and control. Journal of Field Robotics, 25(6-7):305--324, 2008.

Digital Library

Google Scholar

[12]

L. Selavo, A. Wood, Q. Cao, T. Sookoor, H. Liu, A. Srinivasan, Y. Wu, W. Kang, J. Stankovic, D. Young, and J. Porter. LUSTER: wireless sensor network for environmental research. In Proceedings of the International Conference on Embedded Networked Sensor Systems (SenSys), Sydney, Australia, 2007. ACM.

Digital Library

Google Scholar

[13]

G. Tolle, J. Polastre, R. Szewczyk, D. Culler, N. Turner, K. Tu, S. Burgess, T. Dawson, P. Buonadonna, D. Gay, and W. Hong. A macroscope in the redwoods. In Proceedings of the International Conference on Embedded Networked Sensor Systems (SenSys), San Diego, CA, USA, 2005. ACM.

Digital Library

Google Scholar

[14]

T. Wark, P. Corke, P. Sikka, L. Klingbeil, Y. Guo, C. Crossman, P. Valencia, D. Swain, and G. Bishop-Hurley. Transforming agriculture through pervasive wireless sensor networks. Pervasive Computing, IEEE, 6(2):50--57, 2007.

Digital Library

Google Scholar

Cited By

View all

Basha EEiskamp MJohnson JDetweiler C(2015)UAV recharging opportunities and policies for sensor networksInternational Journal of Distributed Sensor Networks10.1155/2015/8242602015(158-158)Online publication date: 1-Jan-2015
https://dl.acm.org/doi/10.1155/2015/824260
Jiming Jiang Claudel C(2013)A wireless computational platform for distributed computing based traffic monitoring involving mixed Eulerian-Lagrangian sensing2013 8th IEEE International Symposium on Industrial Embedded Systems (SIES)10.1109/SIES.2013.6601496(232-239)Online publication date: Jun-2013
https://doi.org/10.1109/SIES.2013.6601496
Detweiler CBasha EDoniec MRus D(2013)Underwater Networks with Limited Mobility: Algorithms, Systems, and ExperimentsMobile Ad Hoc Networking10.1002/9781118511305.ch22(769-803)Online publication date: 4-Mar-2013
https://doi.org/10.1002/9781118511305.ch22

Index Terms

Using a multi-functional sensor network platform for large-scale applications to ground, air, and water tasks
1. Computer systems organization
  1. Embedded and cyber-physical systems
  2. Real-time systems
2. Hardware
  1. Communication hardware, interfaces and storage
    1. Signal processing systems

Recommendations

Hybrid Routing Protocol for Prolonged Network Lifetime in Large Scale Wireless Sensor Network
ICIMT '09: Proceedings of the 2009 International Conference on Information and Multimedia Technology

Sensors in sensor networks have limited energy and in large-scale sensor networks, communication between sensor nodes is necessary to cover a large monitoring region, thus energy preserving techniques are important. In this paper, we propose a hybrid ...
On the lifetime of large scale sensor networks

Network lifetime is an important metric for battery operated sensor networks. In this paper, we study the lifetime of a large scale sensor network with n randomly deployed sensors communicating with a base station (BS), where each sensor node has the ...
Simulating the power consumption of large-scale sensor network applications
SenSys '04: Proceedings of the 2nd international conference on Embedded networked sensor systems

Developing sensor network applications demands a new set of tools to aid programmers. A number of simulation environments have been developed that provide varying degrees of scalability, realism, and detail for understanding the behavior of sensor ...

Comments

Information & Contributors

Information

Published In

HotEmNets '10: Proceedings of the 6th Workshop on Hot Topics in Embedded Networked Sensors

June 2010

89 pages

ISBN:9781450302654

DOI:10.1145/1978642

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

In-Cooperation

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 28 June 2010

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Qualifiers

Research-article

Conference

HotEMNETS'10

Sponsor:

CITI

HotEMNETS'10: 6th Workshop on Hot Topics in Embedded Networked Sensors

June 28 - 29, 2010

Killarney, Ireland

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

3
Total Citations
View Citations
79
Total Downloads

Downloads (Last 12 months)1
Downloads (Last 6 weeks)1

Reflects downloads up to 15 Sep 2024

Other Metrics

View Author Metrics

Citations

Cited By

View all

Basha EEiskamp MJohnson JDetweiler C(2015)UAV recharging opportunities and policies for sensor networksInternational Journal of Distributed Sensor Networks10.1155/2015/8242602015(158-158)Online publication date: 1-Jan-2015
https://dl.acm.org/doi/10.1155/2015/824260
Jiming Jiang Claudel C(2013)A wireless computational platform for distributed computing based traffic monitoring involving mixed Eulerian-Lagrangian sensing2013 8th IEEE International Symposium on Industrial Embedded Systems (SIES)10.1109/SIES.2013.6601496(232-239)Online publication date: Jun-2013
https://doi.org/10.1109/SIES.2013.6601496
Detweiler CBasha EDoniec MRus D(2013)Underwater Networks with Limited Mobility: Algorithms, Systems, and ExperimentsMobile Ad Hoc Networking10.1002/9781118511305.ch22(769-803)Online publication date: 4-Mar-2013
https://doi.org/10.1002/9781118511305.ch22

View Options

Get Access

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Cited By

Index Terms

Recommendations

Hybrid Routing Protocol for Prolonged Network Lifetime in Large Scale Wireless Sensor Network

On the lifetime of large scale sensor networks

Simulating the power consumption of large-scale sensor network applications

Comments

Published In

Sponsors

In-Cooperation

Publisher

Publication History

Permissions

Check for updates

Qualifiers

Conference

Other Metrics

Article Metrics

Other Metrics

Cited By

Login options

Full Access

PDF

eReader

Abstract

References

Cited By

Index Terms

Recommendations

Hybrid Routing Protocol for Prolonged Network Lifetime in Large Scale Wireless Sensor Network

On the lifetime of large scale sensor networks

Simulating the power consumption of large-scale sensor network applications

Comments

Information

Published In

Sponsors

In-Cooperation

Publisher

Publication History

Permissions

Check for updates

Qualifiers

Conference

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Cited By

Get Access

Login options

Full Access

View options

PDF

eReader

Figures

Other

Share

Share this Publication link

Share on social media

Affiliations