On the Experiences with Testbeds and Applications in Precision Farming

Hartung, Robert; Kulau, Ulf; Gernert, Björn; Rottmann, Stephan; Wolf, Lars

doi:10.1145/3143337.3143338

Cited by 23 publications

(40 citation statements)

References 4 publications

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“…In our model, we use boxes to denote physical locations. Spatial 1 Types are sometimes called controls in bigraphs literature.…”

Section: Pqmentioning

confidence: 99%

“…We used OCaml for interfacing BigraphER with Cooja as well as for implementing the pre-processing of data streams. The data stream for the experiment is generated from a dataset imported from a CSV file using the simulation manager (1). The WSN is configured and launched in a script, which is provided to a simulation manager component in Cooja (2).…”

Section: B Experimental Setupmentioning

confidence: 99%

“…Furthermore, the network infrastructure evolves over time as a result of node/network failure, battery depletion of nodes, updates, the deployment of new applications and/or changing environmental conditions. For example, many large-scale WSNs are deployed in the open air and thus are subject to node failure caused by harsh environmental conditions [1]- [3].…”

Section: Introductionmentioning

confidence: 99%

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Modelling and Verification of Large-Scale Sensor Network Infrastructures

Sevegnani

Kabáč

Calder

et al. 2018

2018 23rd International Conference on Engineering of Complex Computer Systems (ICECCS)

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Large-scale wireless sensor networks (WSN) are increasingly deployed and an open question is how they can support multiple applications. Networks and sensing devices are typically heterogeneous and evolving: topologies change, nodes drop in and out of the network, and devices are reconfigured. The key question we address is how to verify that application requirements are met, individually and collectively, and can continue to be met, in the context of large-scale, evolving network and device configurations. We define a modelling and verification framework based on Bigraphical Reactive Systems (BRS) for modelling, with bigraph patterns and temporal logic properties for specifying application requirements. The bigraph diagrammatic notation provides an intuitive representation of concepts such as hierarchies, communication, events and spatial relationships, which are fundamental to WSNs. We demonstrate modelling and verification through a real-life urban environmental monitoring case-study. A novel contribution is automated online verification using BigraphER and replay of real-life sensed data streams and network events by the Cooja network simulator. Performance results for verification of two application properties running on a WSN with up to 200 nodes indicate our framework is capable of handling WSNs of that scale.

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“…In our model, we use boxes to denote physical locations. Spatial 1 Types are sometimes called controls in bigraphs literature.…”

Section: Pqmentioning

confidence: 99%

Section: B Experimental Setupmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Modelling and Verification of Large-Scale Sensor Network Infrastructures

Sevegnani

Kabáč

Calder

et al. 2018

2018 23rd International Conference on Engineering of Complex Computer Systems (ICECCS)

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“…On the Experiences with Testbeds and Applications in Precision Farming. [15] -In this paper the authors present experiences and findings from a testbed and two WSN deployments on an agricultural area which were used to measure the stress of potato crops. Throughout both of the deployments a number of problems and failures due to environmental factors, farming activities, use of third-party components etc.…”

Section: The Received Submissionsmentioning

confidence: 99%

Failures from the Environment, a Report on the First FAILSAFE workshop

Breza

Tomić

McCann

2018

SIGCOMM Comput. Commun. Rev.

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This document presents the views expressed in the submissions and discussions at the FAILSAFE workshop about the common problems that plague embedded sensor system deployments in the wild. We present analysis gathered from the submissions and the panel session of the FAILSAFE 2017 workshop held at the SenSys 2017 conference. The FAILSAFE call for papers specifically asked for descriptions of wireless sensor network (WSN) deployments and their problems and failures. The submissions, the questions raised at the presentations, and the panel discussion give us a sufficient body of work to review, and draw conclusions regarding the effect that the environment has as the most common cause of embedded sensor system failures. CCS CONCEPTS • Networks → Routing protocols; • Security and privacy → Security protocols;

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“…For instance, the authors in [2,6,7] examined IoT's communication infrastructure, platforms, standards, development trends, and possible network solutions in agriculture. Similarly, the roles of industrial IoT (thus, identification-based IoT (example, RFID [6], WSN [9], QR codes [5], barcodes) and communication-based IoT (example, ZigBee [5], Z-wave [6], MQTT [5,6], LoRa [10], SigFox [11], BLE [12], Li-Fi [5], Wi-Fi [13], Near-Field Communication (NFC) [5], and power line area network) were reviewed in terms of current research trends, applications, and main challenges in [5]. Although RFID tags and WSNs have similar data acquisition capacities, the authors concluded that WSN technology is more energy-efficient and suitable for Agri-IoT than the costly RFID technologies [5].…”

Section: Introduction and Tutorial Contributionsmentioning

confidence: 99%

A Tutorial on Agricultural IoT: Fundamental Concepts, Architectures, Routing, and Optimization

Effah

Thiaré

Wyglinski

2023

IoT

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This paper presents an in-depth contextualized tutorial on Agricultural IoT (Agri-IoT), covering the fundamental concepts, assessment of routing architectures and protocols, and performance optimization techniques via a systematic survey and synthesis of the related literature. The negative impacts of climate change and the increasing global population on food security and unemployment threats have motivated the adoption of the wireless sensor network (WSN)-based Agri-IoT as an indispensable underlying technology in precision agriculture and greenhouses to improve food production capacities and quality. However, most related Agri-IoT testbed solutions have failed to achieve their performance expectations due to the lack of an in-depth and contextualized reference tutorial that provides a holistic overview of communication technologies, routing architectures, and performance optimization modalities based on users’ expectations. Thus, although IoT applications are founded on a common idea, each use case (e.g., Agri-IoT) varies based on the specific performance and user expectations as well as technological, architectural, and deployment requirements. Likewise, the agricultural setting is a unique and hostile area where conventional IoT technologies do not apply, hence the need for this tutorial. Consequently, this tutorial addresses these via the following contributions: (1) a systematic overview of the fundamental concepts, technologies, and architectural standards of WSN-based Agri-IoT, (2) an evaluation of the technical design requirements of a robust, location-independent, and affordable Agri-IoT, (3) a comprehensive survey of the benchmarking fault-tolerance techniques, communication standards, routing and medium access control (MAC) protocols, and WSN-based Agri-IoT testbed solutions, and (4) an in-depth case study on how to design a self-healing, energy-efficient, affordable, adaptive, stable, autonomous, and cluster-based WSN-specific Agri-IoT from a proposed taxonomy of multi-objective optimization (MOO) metrics that can guarantee an optimized network performance. Furthermore, this tutorial established new taxonomies of faults, architectural layers, and MOO metrics for cluster-based Agri-IoT (CA-IoT) networks and a three-tier objective framework with remedial measures for designing an efficient associated supervisory protocol for cluster-based Agri-IoT networks.

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On the Experiences with Testbeds and Applications in Precision Farming

Cited by 23 publications

References 4 publications

Modelling and Verification of Large-Scale Sensor Network Infrastructures

Modelling and Verification of Large-Scale Sensor Network Infrastructures

Failures from the Environment, a Report on the First FAILSAFE workshop

A Tutorial on Agricultural IoT: Fundamental Concepts, Architectures, Routing, and Optimization

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