Label switching over IEEE802.15.4e networks

Morell, Antoni; Vilajosana, Xavier; Vicario, José López; Watteyne, Thomas

doi:10.1002/ett.2650

Cited by 54 publications

(29 citation statements)

References 28 publications

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“…The schedule allows for a fine-grained trade-off between latency, bandwidth, redundancy and power consumption. Several scheduling approaches have been proposed, both centralized [15] and distributed [16], [17], and are currently being standardized [18]. The energy consumption of a mote is the sum of the energy consumed in each slot.…”

Section: Energy Modelmentioning

confidence: 99%

A Realistic Energy Consumption Model for TSCH Networks

et al. 2014

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Time slotted channel hopping (TSCH) is the highly reliable and ultra-low power medium access control technology at the heart of the IEEE802.15.4e-2012 amendment to the IEEE802.15.4-2011 standard. TSCH networks are deterministic in nature; the actions that occur at each time slot are well known. This paper presents an energy consumption model of these networks, obtained by slot-based "step-by-step" modeling and experimental validation on real devices running the OpenWSN protocol stack. This model is applied to different network scenarios to understand the potential effects of several network optimization. The model shows the impact of keep-alive and advertisement loads and discusses network configuration choices.Presented results show average current in the order of 570 µA on OpenWSN hardware and duty cycles 1% in network relays in both real and simulated networks. Leaf nodes show 0.46% duty cycle with data rates close to 10 packets per minute. In addition, the model is used to analyze the impact on energy consumption and data rate by overprovisioning slots to compensate for the lossy nature of these networks.

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Section: Energy Modelmentioning

confidence: 99%

A Realistic Energy Consumption Model for TSCH Networks

et al. 2014

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“…The function F includes a lookup-table mapping between real frequency value (in GHz) and physical channel number in the range [11][12][13][14][15][16][17][18][19][20][21][22][23][24][25][26]. ASN presents the total number of slots since the start of TSCH networks, and it is calculated as follows: ASN = (n Á L slotframe + slotOffset), where n defines the slotframe cycle and L slotframe is the slotframe length.…”

Section: Tsch Mode In Ieee 802154ementioning

confidence: 99%

A rapid joining scheme based on fuzzy logic for highly dynamic IEEE 802.15.4e time-slotted channel hopping networks

Duy

Dinh

Kim

2016

International Journal of Distributed Sensor Networks

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The IEEE 802.15.4e standard is an amendment of the IEEE 802.15.4-2011 protocol by introducing time-slotted channel hopping access behavior mode. However, the IEEE 802.15.4e only defines time-slotted channel hopping link-layer mechanisms without an investigation of network formation and communication scheduling which are still open issues to the research community. This article investigates the network formation issue of the IEEE 802.15.4e time-slotted channel hopping networks. In time-slotted channel hopping networks, a joining node normally takes a long time period to join the network because the node has to wait until there is at least one enhanced beacon message advertised by synchronized nodes (synchronizers) in the network on its own synchronization channel. This leads to a long joining delay and high energy consumption during the network formation phase, especially so in highly dynamic networks in which nodes join or rejoin frequently. To enable a rapid time-slotted channel hopping network formation, this article proposes a new design for slotframe structure and a novel adaptive joining scheme based on fuzzy logic. Our proposed scheme enables a synchronizer to be able to adaptively determine an appropriate number of enhanced beacons it should advertise, based on the number of available synchronizers in the network, so that joining nodes can achieve a short joining time while energy consumption of enhanced beacon advertisement at the synchronizers is optimized. Through extensive mathematical analysis and experimental results, we show that the proposed scheme achieves a significant improvement in terms of joining delay compared to state-of-the-art studies.

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“…IV. For the sake of completeness, we also mention here the work of Morell et al [19], which defined a form of neighbor-toneighbor signaling exchanges by exploiting the concept of label switching in TSCH networks and proposing the use of reservation to establish and manage tracks between nodes in the network. In that proposal, the TSCH schedule is built by collecting information along the track and installing it during the downstream reservation message, in a RSVP-like fashion [17].…”

Section: Introductionmentioning

confidence: 99%

Decentralized Traffic Aware Scheduling in 6TiSCH Networks: Design and Experimental Evaluation

Accettura

Vogli

Palattella

et al. 2015

IEEE Internet Things J.

104

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Abstract-This paper capitalizes on two emerging trends, i.e. the growing use of wireless at the edge of industrial control networks and the growing interest to integrate IP into said networks. This is facilitated by recent design contributions from the IEEE and the IETF, where the former developed a highly efficient deterministic time-frequency scheduled medium access control protocol in form of IEEE 802.15.4e TSCH and the latter IPv6 networking paradigms in form of 6LoWPAN/ROLL, and scheduling approaches in form of 6TiSCH. The focus of the present work is on advancing the state of the art of deterministic 6TiSCH schedules towards more flexible but equally reliable distributed approaches. In addition, this paper aims to introduce the first implementation of 6TiSCH networks for factory automation environments: it outlines the challenges faced to overcome the scalability issues inherent to multi-hop dense low-power networks; the experimental results confirm that the naturally unreliable radio medium can support time-critical and reliable applications. These developments pave the way for wireless industry-grade monitoring approaches.

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Label switching over IEEE802.15.4e networks

Cited by 54 publications

References 28 publications

A Realistic Energy Consumption Model for TSCH Networks

A Realistic Energy Consumption Model for TSCH Networks

A rapid joining scheme based on fuzzy logic for highly dynamic IEEE 802.15.4e time-slotted channel hopping networks

Decentralized Traffic Aware Scheduling in 6TiSCH Networks: Design and Experimental Evaluation

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