More Web Proxy on the site http://driver.im/

research-article

The hitchhiker's guide to successful wireless sensor network deployments

Authors:

Guillermo Barrenetxea,

François Ingelrest,

Gunnar Schaefer,

Martin VetterliAuthors Info & Claims

SenSys '08: Proceedings of the 6th ACM conference on Embedded network sensor systems

Pages 43 - 56

https://doi.org/10.1145/1460412.1460418

Published: 05 November 2008 Publication History

Abstract

The successful deployment of a wireless sensor network is a difficult task, littered with traps and pitfalls. Even a functional network does not guarantee gathering meaningful data. In SensorScope, with its multiple campaigns in various environments (e.g., urban, high-mountain), we have acquired much knowledge in planning, conducting, and managing real-world sensor network deployments. In this paper, we share our experience by stepping through the entire process, from the preparatory hard- and software development to the actual field deployment. Illustrated by numerous real-life examples, excerpted from our own experience, we point out many potential problems along this way and their possible solutions. We also indicate the importance of a close interaction with the end-user community in planning and running the network, and finally exploiting the data.

References

[1]

G. Barrenetxea, F. Ingelrest, G. Schaefer, M. Vetterli, O. Couach, and M. Parlange. Sensorscope: Out-of-the-box environmental monitoring. In Proceedings of the ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN), Apr. 2008.

Digital Library

[2]

P. Buonadonna, D. Gay, J. M. Hellerstein, W. Hong, and S. Madden. TASK: Sensor network in a box. In Proceedings of the IEEE European Workshop on Wireless Sensor Networks and Applications (EWSN), Jan. 2005.

[3]

G. Chelius, A. Fraboulet, and E. Fleury. Worldsens: Development and prototyping tools for application specific wireless sensors networks. In Proceedings of the ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN), Apr. 2007.

Digital Library

[4]

H. Dubois-Ferriere, R. Meier, L. Fabre, and P. Metrailler. Tinynode: A comprehensive platform for wireless sensor network applications. In Proceedings of the ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN), Apr. 2006.

Digital Library

[5]

S. Ganeriwal, R. Kumar, and M. Srivastava. Timing-sync protocol for sensor networks. In Proceedings of the ACM International Conference on Embedded Networked Sensor Systems (SenSys), Nov. 2003.

Digital Library

[6]

J. Hui and D. Culler. The dynamic behavior of a data dissemination protocol for network programming at a scale. In Proceedings of the ACM International Conference on Embedded Networked Sensor Systems (SenSys), Nov. 2004.

Digital Library

[7]

K. Langendoen, A. Baggio, and O. Visser. Murphy loves potatoes: Experiences from a pilot sensor network deployment in precision agriculture. In Proceedings of the IEEE International Parallel and Distributed Processing Symposium (IPDPS), Apr. 2006.

Digital Library

[8]

P. Levis, N. Lee, M. Welsh, and D. Culler. TOSSIM: Accurate and scalable simulation of entire TinyOS applications. In Proceedings of the ACM International Conference on Embedded Networked Sensor Systems (SenSys), Nov. 2003.

Digital Library

[9]

P. Levis, S. Madden, D. Gay, J. Polastre, R. Szewczyk, K. Whitehouse, J. Hill, M. Welsh, E. Brewer, D. Culler, and A. Woo. Ambient Intelligence, chapter TinyOS: An Operating System for Sensor Networks. Springer, 2005.

[10]

A. Mainwaring, D. Culler, J. Polastre, R. Szewczyk, and J. Anderson. Wireless sensor networks for habitat monitoring. In Proceedings of the ACM International Workshop on Wireless Sensor Networks and Applications, Sept. 2002.

Digital Library

[11]

J. Polastre, J. Hill, and D. Culler. Versatile low power media access for wireless sensor networks. In Proceedings of the ACM International Conference on Embedded Networked Sensor Systems (SenSys), Nov. 2004.

Digital Library

[12]

K. Romer, P. Blum, and L. Meier. Handbook of Sensor Networks: Algorithms and Architectures, chapter Time Synchronization and Calibration in Wireless Sensor Networks. John Wiley and Sons, 2005.

[13]

T. Schmid, O. Sekkat, and M. Srivastava. An experimental study of network performance impact of increased latency in software defined radios. In Proceedings of the ACM International Workshop on Wireless Network Testbeds, Experimental Evaluation and Characterization (WINTECH), Sept. 2007.

Digital Library

[14]

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 ACM International Conference on Embedded Networked Sensor Systems (SenSys), Nov. 2007.

Digital Library

[15]

R. Szewcszyk, A. Mainwaring, J. Polastre, J. Anderson, and D. Culler. Lessons from a sensor network expedition. In Proceedings of the IEEE European Workshop on Wireless Sensor Networks and Applications (EWSN), Jan. 2004.

[16]

B. Titzer, D. Lee, and J. Palsberg. Avrora: Scalable sensor network simulation with precise timing. In Proceedings of the ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN), Apr. 2005.

Digital Library

[17]

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 ACM International Conference on Embedded Networked Sensor Systems (SenSys), Nov. 2005.

Digital Library

[18]

G. Werner-Allen, K. Lorincz, M. Welsh, O. Marcillo, J. Johnson, M. Ruiz, and J. Lees. Deploying a wireless sensor network on an active volcano. IEEE Internet Computing, 10(2):18--25, 2006.

Digital Library

[19]

A. Woo, T. Tong, and D. Culler. Taming the underlying challenges of reliable multihop routing in sensor networks. In Proceedings of the ACM International Conference on Embedded Networked Sensor Systems (SenSys), Nov. 2003.

Digital Library

Cited By

Greenlee ERothrock BKim HZegura EHester J(2024)“The Devil You Know”: Barriers and Opportunities for Co-Designing Microclimate Sensors, A Case Study of ManoomiACM Journal on Computing and Sustainable Societies10.1145/36856952:3(1-30)Online publication date: 16-Sep-2024
https://dl.acm.org/doi/10.1145/3685695
Voicu VPetreuş DEtz R(2024)Solar Powered Raspberry Pi for Internet of Things and Wireless Sensor Networks2024 IEEE 30th International Symposium for Design and Technology in Electronic Packaging (SIITME)10.1109/SIITME63973.2024.10814846(500-503)Online publication date: 16-Oct-2024
https://doi.org/10.1109/SIITME63973.2024.10814846
Ram VSingh KSreshta B(2024)Smart Farming—A Case Study from IndiaDigital Agricultural Ecosystem10.1002/9781394242962.ch15(269-290)Online publication date: 16-Apr-2024
https://doi.org/10.1002/9781394242962.ch15
Show More Cited By

Index Terms

The hitchhiker's guide to successful wireless sensor network deployments
1. Computer systems organization
  1. Architectures
    1. Distributed architectures
2. Networks
  1. Network architectures

Recommendations

SensorScope: Application-specific sensor network for environmental monitoring

SensorScope is a turnkey solution for environmental monitoring systems, based on a wireless sensor network and resulting from a collaboration between environmental and network researchers. Given the interest in climate change, environmental monitoring ...
Node Placement Strategy in Wireless Sensor Network

The performance and quality of services in wireless sensor networks WSNs depend on coverage and connectivity. Node placement is a fundamental issue closely related to the coverage and connectivity in sensor networks. Node placement influences the target ...
Relay Node Deployment Strategies in Heterogeneous Wireless Sensor Networks

In a heterogeneous wireless sensor network (WSN), relay nodes (RNs) are adopted to relay data packets from sensor nodes (SNs) to the base station (BS). The deployment of the RNs can have a significant impact on connectivity and lifetime of a WSN system. ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM Conferences

SenSys '08: Proceedings of the 6th ACM conference on Embedded network sensor systems

November 2008

468 pages

ISBN:9781595939906

DOI:10.1145/1460412

General Chair:
Tarek Abdelzaher
University of Illinois at Urbana-Champaign, USA
,
Program Chairs:
Margaret Martonosi
Princeton University, USA
,
Adam Wolisz
Technische Universität Berlin, Germany

Copyright © 2008 ACM.

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]

Sponsors

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 05 November 2008

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article

Conference

SenSys08

Sponsor:

SenSys08: The 6th ACM Conference on Embedded Networked Sensor Systems

November 5 - 7, 2008

NC, Raleigh, USA

Acceptance Rates

Overall Acceptance Rate 174 of 867 submissions, 20%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

185
Total Citations
View Citations
1,828
Total Downloads

Downloads (Last 12 months)38
Downloads (Last 6 weeks)6

Reflects downloads up to 17 Jan 2025

Other Metrics

View Author Metrics

Citations

Cited By

Greenlee ERothrock BKim HZegura EHester J(2024)“The Devil You Know”: Barriers and Opportunities for Co-Designing Microclimate Sensors, A Case Study of ManoomiACM Journal on Computing and Sustainable Societies10.1145/36856952:3(1-30)Online publication date: 16-Sep-2024
https://dl.acm.org/doi/10.1145/3685695
Voicu VPetreuş DEtz R(2024)Solar Powered Raspberry Pi for Internet of Things and Wireless Sensor Networks2024 IEEE 30th International Symposium for Design and Technology in Electronic Packaging (SIITME)10.1109/SIITME63973.2024.10814846(500-503)Online publication date: 16-Oct-2024
https://doi.org/10.1109/SIITME63973.2024.10814846
Ram VSingh KSreshta B(2024)Smart Farming—A Case Study from IndiaDigital Agricultural Ecosystem10.1002/9781394242962.ch15(269-290)Online publication date: 16-Apr-2024
https://doi.org/10.1002/9781394242962.ch15
Mendonca Dos Santos IChong Vun Yiing AAritsugi M(2023)Not Seeing is a Flower: Experiences and Lessons Learned from Making IoT Platforms for Small-Scale Farms in JapanProceedings of the 13th International Conference on the Internet of Things10.1145/3627050.3630724(146-149)Online publication date: 7-Nov-2023
https://dl.acm.org/doi/10.1145/3627050.3630724
Biri ADa Forno RKuonen TMager FZimmerling MThiele L(2023)Hydra: Concurrent Coordination for Fault-tolerant NetworkingProceedings of the 22nd International Conference on Information Processing in Sensor Networks10.1145/3583120.3587047(219-232)Online publication date: 9-May-2023
https://dl.acm.org/doi/10.1145/3583120.3587047
Niederprüm DSchlichter JPullwitt SWolf L(2023)Approaches for the Design of Sensor Networks for Pest Monitoring in Farming Applications2023 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT)10.1109/DCOSS-IoT58021.2023.00057(301-308)Online publication date: Jun-2023
https://doi.org/10.1109/DCOSS-IoT58021.2023.00057
Malek KRodríguez ELee YMurillo JMohammadkhorasani AVigil LZhang SMoreu F(2023)Design and Implementation of Sustainable Solar Energy Harvesting for Low-Cost Remote Sensors Equipped with Real-Time Monitoring SystemsJournal of Infrastructure Intelligence and Resilience10.1016/j.iintel.2023.100051(100051)Online publication date: Jul-2023
https://doi.org/10.1016/j.iintel.2023.100051
Mano ZKendler SFishbain B(2022)Information Theory Solution Approach to the Air Pollution Sensor Location–Allocation ProblemSensors10.3390/s2210380822:10(3808)Online publication date: 17-May-2022
https://doi.org/10.3390/s22103808
Anwar OKeating ACardell-Oliver RDatta APutrino G(2022)Design and development of low-power, long-range data acquisition system for beehives - BeeDASComputers and Electronics in Agriculture10.1016/j.compag.2022.107281201:COnline publication date: 1-Oct-2022
https://dl.acm.org/doi/10.1016/j.compag.2022.107281
Foroozand HWeijs S(2021)Objective functions for information-theoretical monitoring network design: what is “optimal”?Hydrology and Earth System Sciences10.5194/hess-25-831-202125:2(831-850)Online publication date: 19-Feb-2021
https://doi.org/10.5194/hess-25-831-2021
Show More Cited By

View Options

Login options

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

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Media

Figures

Other

Tables

View Table of Contents