FIT IoT-LAB: A large scale open experimental IoT testbed

Adjih, Cédric; Baccelli, Emmanuel; Fleury, Éric; Harter, Gaetan; Mitton, Nathalie; Noël, Thomas; Pissard-Gibollet, Roger; Saint-Marcel, Frédéric; Schreiner, Guillaume; Vandaële, Julien; Watteyne, Thomas

doi:10.1109/wf-iot.2015.7389098

Cited by 352 publications

(223 citation statements)

References 5 publications

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“…In this section, we present the main contribution of the paper: a comprehensive comparison and evaluation of several caching strategies for information-centric ICN with a focus on latency and hop reduction. For this comparison, we ran a series of experiments on the FIT IoT-LAB [33] open testbed. We used IoT-LAB's specially developed M3 node 1 , which has an STM32 (ARM Cortex M3) microcontroller and an Atmel AT86RF231 2.4 GHz transceiver, as our IoT hardware.…”

Section: Discussionmentioning

confidence: 99%

Performance comparison of caching strategies for information-centric IoT

Pfender

Valera

Seah

2018

Proceedings of the 5th ACM Conference on Information-Centric Networking

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In-network caching is a central aspect of Information-Centric Networking (ICN). It enables the rapid distribution of content across the network, alleviating strain on content producers and reducing content delivery latencies. ICN has emerged as a promising candidate for use in the Internet of Things (IoT). However, IoT devices operate under severe constraints, most notably limited memory. This means that nodes cannot indiscriminately cache all content; instead, there is a need for a caching strategy that decides what content to cache. Furthermore, many applications in the IoT space are timesensitive; therefore, finding a caching strategy that minimises the latency between content request and delivery is desirable. In this paper, we evaluate a number of ICN caching strategies in regards to latency and hop count reduction using IoT devices in a physical testbed. We find that the topology of the network, and thus the routing algorithm used to generate forwarding information, has a significant impact on the performance of a given caching strategy. To the best of our knowledge, this is the first study that focuses on latency effects in ICN-IoT caching while using real IoT hardware, and the first to explicitly discuss the link between routing algorithm, network topology, and caching effects.

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Section: Discussionmentioning

confidence: 99%

Performance comparison of caching strategies for information-centric IoT

Pfender

Valera

Seah

2018

Proceedings of the 5th ACM Conference on Information-Centric Networking

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“…We use the FIT IoT-LAB testbed in Grenoble [1] with 340 M3 nodes at the time of the experiments. The nodes run raw TSCH, without 6TiSCH.…”

Section: A Synchronizationmentioning

confidence: 99%

TSCH and 6TiSCH for Contiki: Challenges, Design and Evaluation

Duquennoy

Elsts

Nahas

et al. 2017

2017 13th International Conference on Distributed Computing in Sensor Systems (DCOSS)

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Abstract-Synchronized communication has recently emerged as a prime option for low-power critical applications. Solutions such as Glossy or Time Slotted Channel Hopping (TSCH) have demonstrated end-to-end reliability upwards of 99.99%. In this context, the IETF Working Group 6TiSCH is currently standardizing the mechanisms to use TSCH in low-power IPv6 scenarios. This paper identifies a number of challenges when it comes to implementing the 6TiSCH stack. It shows how these challenges can be addressed with practical solutions for locking, queuing, scheduling and other aspects.With this implementation as an enabler, we present an experimental validation and comparison with state-of-the-art MAC protocols. We conduct fine-grained energy profiling, showing the impact of link-layer security on packet transmission. We evaluate distributed time synchronization in a 340-node testbed, and demonstrate that tight synchronization (hundreds of microseconds) can be achieved at very low cost (0.3% duty cycle, 0.008% channel utilization). We finally compare TSCH against traditional MAC layers: low-power listening (LPL) and CSMA, in terms of reliability, latency and energy. We show that with proper scheduling, TSCH achieves by far the highest reliability, and outperforms LPL in both energy and latency.

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“…Therefore, multiple initiatives are made to build generic testbeds that can be controlled remotely by researches all around the world. These includes WISEBED [7], the MoteLab [27] and the FIT/IoT-LAB [1], providing convenient remote interfaces for software updates and debugging. Several publications cover channel characterization in the IoT-LAB [5,26], including work on the applicability of RSSI measurements for localization [11] and with the focus on the repeatability of experiments [21,20].…”

Section: Related Workmentioning

confidence: 99%

“…Instead of setting up a new testbed it is therefore often advisable to resort to existing testbeds that provide convenient remote control interfaces. One popular example is the FIT/IoT-LAB [1] that consists of multiple wireless network deployments ranging from 41 to 928 nodes of different types. These numbers are sufficient for many experiments.…”

Section: Introductionmentioning

confidence: 99%

Constructing Customized Multi-hop Topologies in Dense Wireless Network Testbeds

Kauer

Turau

2018

Ad-Hoc, Mobile, and Wireless Networks

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Testbeds are a key element in the evaluation of wireless multi-hop networks. In order to relieve researchers from the hassle of deploying their own testbeds, remotely controllable testbeds, such as the FIT/IoT-LAB, are built. However, while the IoT-LAB has a high number of nodes, they are deployed in constraint areas. This, together with the complex nature of radio propagation, makes an ad-hoc construction of multi-hop topologies with a high number of hops difficult. This work presents a strategic approach to solve this problem and proposes algorithms to generate topologies with desired properties. The implementation is evaluated for the IoT-LAB testbeds and is provided as open-source software. The results show that preset topologies of various types can be built even in dense wireless testbeds.

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FIT IoT-LAB: A large scale open experimental IoT testbed

Cited by 352 publications

References 5 publications

Performance comparison of caching strategies for information-centric IoT

Performance comparison of caching strategies for information-centric IoT

TSCH and 6TiSCH for Contiki: Challenges, Design and Evaluation

Constructing Customized Multi-hop Topologies in Dense Wireless Network Testbeds

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