Article

MoteLab: a wireless sensor network testbed

Authors:

Geoffrey Werner-Allen,

Patrick Swieskowski,

Matt WelshAuthors Info & Claims

IPSN '05: Proceedings of the 4th international symposium on Information processing in sensor networks

Pages 68 - es

Published: 24 April 2005 Publication History

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Abstract

As wireless sensor networks have emerged as a exciting new area of research in Computer Science, many of the logistical challenges facing those who wish to develop, deploy, and debug applications on realistic large-scale sensor networks have gone unmet. Manually reprogramming nodes, deploying them into the physical environment, and instrumenting them for data gathering is tedious and time-consuming.To address this need we have developed MoteLab, a Web-based sensor network testbed. MoteLab consists of a set of permanently-deployed sensor network nodes connected to a central server which handles reprogramming and data logging while providing a web interface for creating and scheduling jobs on the testbed. MoteLab accelerates application deployment by streamlining access to a large, fixed network of real sensor network devices; it accelerates debugging and development by automating data logging, allowing the performance of sensor network software to be evaluated offline. Additionally, by providing a web interface MoteLab allows both local and remote users access to the testbed, and its scheduling and quota system ensure fair sharing.We have developed and deployed MoteLab at Harvard and found it invaluable for both research and teaching. The MoteLab source is freely available, easy to install, and already in use at several other research institutions. We expect that widespread use of MoteLab will accelerate and improve wireless sensor network research.

References

[1]

P. Levis, N. Lee, M. Welsh, and D. Culler, "TOSSIM: Accurate and scalable simulation of entire TinyOS applications," in Proc. the First ACM Conference on Embedded Networked Sensor Systems (SenSys 2003), November 2003.

Digital Library

Google Scholar

[2]

V. Shnayder, M. Hempstead, B. rong Chen, G. Werner-Allen, and M. Welsh, "Simulating the power consumption of large-scale sensor network applications," in Proc. the 2nd international conference on Embedded networked sensor systems (SenSys 2004), November 2004.

Digital Library

Google Scholar

[3]

L. Girod, J. Elson, A. Cerpa, T. Stathopoulos, N. Ramanathan, and D. Estrin, "Emstar: a software environment for developing and deploying wireless sensor networks," in Proceedings of the 2004 USENIX Technical Conference, Boston, MA, 2004.

Digital Library

Google Scholar

[4]

L. Girod, T. Stathopoulos, N. Ramanathan, J. Elson, D. Estrin, E. Osterweil, and T. Schoellhammer, "A system for simulation, emulation, and deployment of heterogeneous sensor networks," in Proceedings of the Second ACM Conference on Embedded Networked Sensor Systems, Baltimore, MD, 2004.

Digital Library

Google Scholar

[5]

A. Cerpa, N. Busek, and D. Estrin, "Scale: A tool for Simple Connectivity Assessment in Lossy Environments," Center for Embedded Networked Sensing, University of California, Los Angeles, Tech. Rep. CENS Technical Report 0021, September 2003.

Google Scholar

[6]

D. Aguayo, J. Bicket, S. Biswas, G. Judd, and R. Morris, "Link-level measurements from an 802.11b mesh network," SIGCOMM Comput. Commun. Rev., vol. 34, no. 4, pp. 121--132, 2004.

Digital Library

Google Scholar

[7]

Ohio State University, "Kansei: Sensor Testbed for At-Scale Experiments," Poster, 2nd International TinyOS Technology Exchange, Berkeley, CA, 11 Feb 2005.

Google Scholar

[8]

Intel Research Berkeley, "Mirage: Microeconomic Resource Allocation for SensorNet Testbeds," http://mirage.berkeley.intel-research.net/.

Google Scholar

[9]

P. Buonodanna, "EPRB: Ethernet PRogramming Board," http://berkeley.intel-research.net/pbuonado/EPRB/.

Google Scholar

[10]

J. Hill, R. Szewczyk, A. Woo, S. Hollar, D. E. Culler, and K. S. J. Pister, "System architecture directions for networked sensors," in Proc. the 9th International Conference on Architectural Support for Programming Languages and Operating Systems, Boston, MA, USA, Nov. 2000, pp. 93--104.

Digital Library

Google Scholar

[11]

Moteiv Corporation, "Telos Sensor Network Module," http://www.moteiv.com.

Google Scholar

[12]

K. Lorincz and M. Welsh, "MoteTrack: A robust, decentralized location tracking system for disaster response," Harvard University, Tech. Rep. TR-19-04, March 2004.

Google Scholar

[13]

K. Lorincz, D. Malan, T. R. F. Fulford-Jones, A. Nawoj, A. Clavel, V. Shnayder, G. Mainland, S. Moulton, and M. Welsh, "Sensor Networks for Emergency Response: Challenges and Opportunities," IEEE Pervasive Computing, Oct-Dec 2004.

Digital Library

Google Scholar

[14]

J. G. Jetcheva and D. B. Johnson, "Adaptive demand-driven multicast routing in multi-hop wireless ad hoc networks," in Proc. ACM Mobi-Hoc'01, October 2001.

Digital Library

Google Scholar

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Yi LMa JZhang TZimmerling M(2019)HATBEDProceedings of the 2nd Workshop on Benchmarking Cyber-Physical Systems and Internet of Things10.1145/3312480.3313172(13-17)Online publication date: 15-Apr-2019
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Information & Contributors

Information

Published In

IPSN '05: Proceedings of the 4th international symposium on Information processing in sensor networks

April 2005

475 pages

ISBN:0780392027

Conference Chairs:
Martin Vetterli
EPFL
,
Kung Yao
UCLA

Publisher

IEEE Press

Publication History

Published: 24 April 2005

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Article

Conference

IPSN/SPOTS05

Sponsor:

SIGBED

IPSN/SPOTS05: The Fourth International Conference on Information Processing in Sensor Networks

April 24 - 27, 2005

California, Los Angeles

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IPSN '05 Paper Acceptance Rate 71 of 276 submissions, 26%;

Overall Acceptance Rate 143 of 593 submissions, 24%

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Cited By

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Yi LMa JZhang TZimmerling M(2019)HATBEDProceedings of the 2nd Workshop on Benchmarking Cyber-Physical Systems and Internet of Things10.1145/3312480.3313172(13-17)Online publication date: 15-Apr-2019
https://dl.acm.org/doi/10.1145/3312480.3313172
Ly-Trong NDang-Le-Bao CHuynh-Van DLe-Trung Q(2018)UiTiOt v3Proceedings of the 9th International Symposium on Information and Communication Technology10.1145/3287921.3287935(155-162)Online publication date: 6-Dec-2018
https://dl.acm.org/doi/10.1145/3287921.3287935
Hartung RKulau ULichtblau NWolf LKumar SGarcia-Saavedra A(2018)A Flexible Software Framework for Real-World Experiments and Temperature-Controlled TestbedsProceedings of the 12th International Workshop on Wireless Network Testbeds, Experimental Evaluation & Characterization10.1145/3267204.3267207(30-37)Online publication date: 1-Oct-2018
https://dl.acm.org/doi/10.1145/3267204.3267207
Li FYang YChi ZZhao LYang YLuo J(2018)TrinityACM Transactions on Embedded Computing Systems10.1145/317303917:2(1-27)Online publication date: 13-Feb-2018
https://dl.acm.org/doi/10.1145/3173039
Schuß MBoano CWeber MRömer KGunningberg PVoigt TMottola LLu C(2017)A Competition to Push the Dependability of Low-Power Wireless Protocols to the EdgeProceedings of the 2017 International Conference on Embedded Wireless Systems and Networks10.5555/3108009.3108018(54-65)Online publication date: 20-Feb-2017
https://dl.acm.org/doi/10.5555/3108009.3108018
Mastorakis SAfanasyev AZhang L(2017)On the Evolution of ndnSIMACM SIGCOMM Computer Communication Review10.1145/3138808.313881247:3(19-33)Online publication date: 6-Sep-2017
https://dl.acm.org/doi/10.1145/3138808.3138812
Tan WSullivan PWatson HSlota-Newson JJarvis S(2017)An Indoor Test Methodology for Solar-Powered Wireless Sensor NetworksACM Transactions on Embedded Computing Systems10.1145/299460416:3(1-25)Online publication date: 28-Mar-2017
https://dl.acm.org/doi/10.1145/2994604
Yuan DKanhere SHollick M(2017)Instrumenting Wireless Sensor Networks A survey on the metrics that matterPervasive and Mobile Computing10.1016/j.pmcj.2016.10.00137:C(45-62)Online publication date: 1-Jun-2017
https://dl.acm.org/doi/10.1016/j.pmcj.2016.10.001
Calle MBerdugo GVelez JKabara J(2017)MACGSP6Computers and Electrical Engineering10.1016/j.compeleceng.2017.01.00858:C(76-87)Online publication date: 1-Feb-2017
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Mohammad MGuo XChan MXing G(2016)Enabling robust data collection in unplanned cross-technology interference of urban environmentsProceedings of the 15th International Conference on Information Processing in Sensor Networks10.5555/2959355.2959384(1-2)Online publication date: 11-Apr-2016
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