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On the Experiences with Testbeds and Applications in Precision Farming

Published: 05 November 2017 Publication History

Abstract

While success stories are likely to be reported, failures are rarely published -- even if a lot can be learned from them. In this paper we present experiences and findings from our testbed and WSN deployments. Our PotatoNet has been deployed on an agricultural area in 2015 to perform several WSN outdoor experiments while measuring the stress of potato crops. It was extended a year later by the PotatoMesh, a solar panel-based mesh network of nodes. Throughout both of these deployments we experienced problems and failures at different stages of the projects. We derive key problems and some important concepts when it comes to outdoor WSN deployments.

References

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Felix Büsching, Ulf Kulau, and Lars Wolf. 2012. Architecture and Evaluation of INGA - An Inexpensive Node for General Applications. In Sensors, 2012 IEEE. IEEE, Taipei, Taiwan, 842--845.
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Björn Gernert, Stephan Rottmann, and Lars C Wolf. 2016. Poster: PotatoMesh - A Solar Powered WSN Testbed. Paderborn, Germany.
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Robert Hartung, Ulf Kulau, and Lars Wolf. 2016. Distributed Energy Measurement in WSNs for Outdoor Applications. In 2016 13th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON). 1--9.
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Ulf Kulau, Stephan Rottmann, Sebastian Schildt, Johannes van Balen, and Lars C Wolf. 2016. Undervolting in Real World WSN Applications: A Long-Term Study. In The 12th IEEE International Conference on Distributed Computing in Sensor Systems 2016 (IEEE DCoSS 2016). Washington D.C., USA. https://www.ibr.cs.tu-bs.de/papers/kulau-dcoss2016.pdf
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Ulf Kulau, Stephan Rottmann, and Lars Wolf. 2017. Demo: Brzzz - A Simplistic but Highly Useful Secondary Channel for WSNs. In Proceedings of the International Conference on Embedded Wireless Systems and Networks (EWSN 2017). Uppsala, Sweden. Best Demo Award.
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Ulf Kulau, Sebastian Schildt, Stephan Rottmann, Björn Gernert, and Lars Wolf. 2015. Demo: PotatoNet -- Robust Outdoor Testbed for WSNs: Experiment Like on Your Desk. Outside. In Proceedings of the 10th ACM MobiCom Workshop on Challenged Networks (CHANTS '15). ACM, Paris, France, 59--60.
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Ulf Kulau, Johannes van Balen, Sebastian Schildt, Felix Büsching, and Lars Wolf. 2016. Dynamic Sample Rate Adaptation for Long-Term IoT Sensing Applications. In IEEE World Forum on Internet of Things 2016 (WF-IoT). Reston, USA. https://www.ibr.cs.tu-bs.de/papers/kulau-wf-iot2016.pdf
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K. Langendoen, A. Baggio, and O. Visser. 2006. Murphy loves potatoes: experiences from a pilot sensor network deployment in precision agriculture. In Proceedings 20th IEEE International Parallel Distributed Processing Symposium. 8 pp.--.
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Stephan Rottmann, Robert Hartung, Jan Käberich, and Lars C Wolf. 2016. Amphisbaena: A Two-Platform DTN Node. In The 13th International Conference on Mobile Ad-hoc and Sensor Systems (MASS 2016) (MASS 2016). Brasilia, Brazil.
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  • (2024)Efficient and Lightweight Model-Predictive IoT Energy ManagementACM Transactions on Internet of Things10.1145/37008836:1(1-32)Online publication date: 18-Oct-2024
  • (2024)Hardware Evaluation of Cluster-Based Agricultural IoT NetworkIEEE Access10.1109/ACCESS.2024.337023012(33628-33651)Online publication date: 2024
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cover image ACM Conferences
FAILSAFE'17: Proceedings of the First ACM International Workshop on the Engineering of Reliable, Robust, and Secure Embedded Wireless Sensing Systems
November 2017
74 pages
ISBN:9781450354820
DOI:10.1145/3143337
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]

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Published: 05 November 2017

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Author Tags

  1. Experiences and Failures
  2. Outdoor testbeds
  3. Solar-based Mesh Network
  4. Wireless Sensor Networks

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Cited By

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  • (2024)Hardware Development and Evaluation of Multihop Cluster-Based Agricultural IoT Based on Bluetooth Low-Energy and LoRa Communication TechnologiesSensors10.3390/s2418611324:18(6113)Online publication date: 21-Sep-2024
  • (2024)Efficient and Lightweight Model-Predictive IoT Energy ManagementACM Transactions on Internet of Things10.1145/37008836:1(1-32)Online publication date: 18-Oct-2024
  • (2024)Hardware Evaluation of Cluster-Based Agricultural IoT NetworkIEEE Access10.1109/ACCESS.2024.337023012(33628-33651)Online publication date: 2024
  • (2023)Threat Modeling for Communication Security of IoT-Enabled Digital LogisticsSensors10.3390/s2323950023:23(9500)Online publication date: 29-Nov-2023
  • (2023)A Tutorial on Agricultural IoT: Fundamental Concepts, Architectures, Routing, and OptimizationIoT10.3390/iot40300144:3(265-318)Online publication date: 27-Jul-2023
  • (2023)Invited paper: An Efficient Energy Management Solution for Renewable Energy Based IoT DevicesProceedings of the 24th International Conference on Distributed Computing and Networking10.1145/3571306.3571387(20-27)Online publication date: 4-Jan-2023
  • (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
  • (2022)Experience: Developing a Testbed for Ambient Sensing and in-Network Data Processing2022 14th International Conference on COMmunication Systems & NETworkS (COMSNETS)10.1109/COMSNETS53615.2022.9668593(691-699)Online publication date: 4-Jan-2022
  • (2022)Security in IoT-enabled smart agriculture: architecture, security solutions and challengesCluster Computing10.1007/s10586-022-03566-726:2(879-902)Online publication date: 18-Apr-2022
  • (2022)ML-Based Smart Farming Using LSTMSmart Agriculture Automation Using Advanced Technologies10.1007/978-981-16-6124-2_5(89-111)Online publication date: 1-Jan-2022
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