Orchestra

Duquennoy, Simon; Nahas, Beshr Al; Landsiedel, Olaf; Watteyne, Thomas

doi:10.1145/2809695.2809714

Cited by 309 publications

(73 citation statements)

References 36 publications

(45 reference statements)

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“…Finally, RPL is discussed as an IPv6 Routing Protocol for Low-Power and Lossy Networks as a mechanism for multipoint-to-point and point-to-multipoint traffic for these kinds of networks [202]. This protocol has 78 documents with publications related to the Contiki OS and its simulator tool Cooja for WSN [203,204], and mesh networks [205][206][207].…”

Section: Communication Protocols According To Open Systems Interconnementioning

confidence: 99%

Internet of Things: A Scientometric Review

et al. 2017

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Abstract:Internet of Things (IoT) is connecting billions of devices to the Internet. These IoT devices chain sensing, computation, and communication techniques, which facilitates remote data collection and analysis. wireless sensor networks (WSN) connect sensing devices together on a local network, thereby eliminating wires, which generate a large number of samples, creating a big data challenge. This IoT paradigm has gained traction in recent years, yielding extensive research from an increasing variety of perspectives, including scientific reviews. These reviews cover surveys related to IoT vision, enabling technologies, applications, key features, co-word and cluster analysis, and future directions. Nevertheless, we lack an IoT scientometrics review that uses scientific databases to perform a quantitative analysis. This paper develops a scientometric review about IoT over a data set of 19,035 documents published over a period of 15 years (2002)(2003)(2004)(2005)(2006)(2007)(2008)(2009)(2010)(2011)(2012)(2013)(2014)(2015)(2016) in two main scientific databases (Clarivate Web of Science and Scopus). A Python script called ScientoPy was developed to perform quantitative analysis of this data set. This provides insight into research trends by investigating a lead author's country affiliation, most published authors, top research applications, communication protocols, software processing, hardware, operating systems, and trending topics. Furthermore, we evaluate the top trending IoT topics and the popular hardware and software platforms that are used to research these trends.

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Section: Communication Protocols According To Open Systems Interconnementioning

confidence: 99%

Internet of Things: A Scientometric Review

et al. 2017

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“…This results in a behavior equivalent to slotted ALOHA [20]. Alternatively, we provide Orchestra [8], which is an autonomous scheduler, where nodes compute their schedule locally, based on their routing state. With Orchestra, timeslot coordinates are simply based on a hash of the node's and neighbor's MAC addresses.…”

Section: H Schedulingmentioning

confidence: 99%

“…We use Orchestra [8] for scheduling, with two slotframes. The first slotframe is for beacons, with length 397 and an Orchestra sender-based slot.…”

Section: A Synchronizationmentioning

confidence: 99%

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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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“…There is a considerable work done on increasing performance and end-to-end reliability of low-power TSCH mesh networks. This includes works on configuring and improving performance of TSCH itself such as [8,25,30,36,37], and also works that consider the layers on top of TSCH such as [12,13,18,23,24,34]. However, to meet the stringent requirements of industrial applications such as sub-second latency and reliable communications in in-vehicle networks, more work needs to be done [38].…”

Section: Introductionmentioning

confidence: 99%

Dependable Interference-Aware Time-Slotted Channel Hopping for Wireless Sensor Networks

Tavakoli

Nabi

Basten

et al. 2018

ACM Trans. Sen. Netw.

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IEEE 802.15.4 Time-Slotted Channel Hopping (TSCH) aims to improve communication reliability in Wireless Sensor Networks (WSNs) by reducing the impact of the medium access contention, multipath fading, and blocking of wireless links. While TSCH outperforms single channel communications, cross-technology interference on the license-free ISM bands may affect the performance of TSCH-based WSNs. For applications such as in-vehicle networks for which interference is dynamic over time, it leads to non-guaranteed reliability of the communications over time. This paper proposes an Enhanced version of the TSCH protocol together with a Distributed Channel Sensing technique (ETSCH+DCS) which dynamically detects good quality channels to be used for communication. The quality of channels is extracted using a combination of a central and a distributed channel-quality estimation technique. The central technique uses Non-Intrusive Channel-quality Estimation (NICE) technique which proactively performs energy detections in the idle part of each timeslot at the coordinator of the network. NICE enables ETSCH to follow dynamic interference, while it does not reduce throughput of the network. The distributed channel quality estimation technique is executed by all the nodes in the network, based on their communication history, to detect interference sources that are hidden from the coordinator. We did two sets of lab experiments with controlled interferers and a number of simulations using real-world interference data sets to evaluate ETSCH. Experimental and simulation results show that ETSCH improves reliability of network communications, compared to basic TSCH and the state of the art solution (ATSCH). In some experimental scenarios NICE itself has been able to increase the average packet reception ratio by 22% and shorten the length of burst packet losses by half, compared to the plain TSCH protocol. Further experiments show that DCS can reduce the effect of hidden interference (which is not detectable by NICE) on the packet reception ratio of the affected links by 50%.

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Orchestra

Cited by 309 publications

References 36 publications

Internet of Things: A Scientometric Review

Internet of Things: A Scientometric Review

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

Dependable Interference-Aware Time-Slotted Channel Hopping for Wireless Sensor Networks

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