Control and data channels allocation for Large-Scale UWB-based WSNs

Slimane, Jamila Ben; Song, Ye-Qiong; Koubâa, Anis

doi:10.1109/comnet.2009.5373572

Cited by 3 publications

(4 citation statements)

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“…The detailed description of the proposed channels (Control and data channels) sharing between PANs is out of the scope of this paper, so for more details, one can refer to [17]. So, let us assume that each PAN permanently dispose a control channel to ensure control traffic and a variable set of data channels to ensure data traffic.…”

Section: Pmcmtp For Ir Uwb Sensor Networkmentioning

confidence: 99%

“…In [17], we have proposed a channel allocation scheme to statically assign one control channel to each PAN to support the control traffic and dynamically share the set of available data channels between active PANs to support data traffic. The detailed description of the proposed channels (Control and data channels) sharing between PANs is out of the scope of this paper, so for more details, one can refer to [17].…”

Section: Pmcmtp For Ir Uwb Sensor Networkmentioning

confidence: 99%

See 1 more Smart Citation

Pmcmtp's Implementation (in nesC/TinyOS2.x) and Testbed for Its Operation Validation

Slimane

Song

Koubâa

et al. 2011

2011 4th IFIP International Conference on New Technologies, Mobility and Security

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PMCMTP is a Prioritized Multi-Channel MultiTime slot MAC protocol that the authors have proposed for allowing to simultaneous use of several frequency channels. This protocol is designed for UWB of IEEE802.15.4a but it can also be used over IEEE802.15.4. In this paper, we design and implement a testbed of this protocol to demonstrate its practical implementability. Due to the unavailability of UWB transceiver, the testbed has been performed using classic 2.4GHz WSN transceivers. To reduce the complexity of resource sharing, the global network is composed of a set of Personal Area Networks (PANs) or cells. So, the PMCMTPs experiments are performed for a single PAN and two PANs.

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Section: Pmcmtp For Ir Uwb Sensor Networkmentioning

confidence: 99%

Section: Pmcmtp For Ir Uwb Sensor Networkmentioning

confidence: 99%

Pmcmtp's Implementation (in nesC/TinyOS2.x) and Testbed for Its Operation Validation

Slimane

Song

Koubâa

et al. 2011

2011 4th IFIP International Conference on New Technologies, Mobility and Security

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“…Network nodes will never use more than 5 channels at a time, which is the integer part of 16 channels divided by 3 hops. For more than 3 hops, nodes can reuse channels without interfering each other . Only the root would theoretically need to have up to 16 channels.…”

Section: Simulation Environment and Sfx Scalability Studymentioning

confidence: 99%

A distributed density optimized scheduling function for IEEE 802.15.4e TSCH networks

Municio

Spaey

Latré

2018

Trans Emerging Tel Tech

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The Industrial Internet of Things is a challenge for wireless sensor networks, where ultrareliability, guaranteed performance, and ultralow‐power consumption are mandatory requirements to enable critical IoT applications. The time‐slotted channel hopping (TSCH) mode of the IEEE 802.15.4e standard is one of the most promising technologies to accomplish these requirements by yielding guaranteed performance and, simultaneously, efficiently combating external interference and multipath fading. One of the challenges in TSCH networks is to build an efficient schedule for managing the access of the nodes to the timeslots and channels. Several scheduling algorithms have been proposed. Currently, the Scheduling Function Zero SFx is one of the proposed scheduling algorithms for 6TiSCH, the ongoing standard for an IPv6‐enabled stack working over TSCH. SFx is based on random resource allocation according to the traffic demand, which makes it inadequate for large‐scale and dense deployments due to internal collisions. This paper has two main goals. First, we extensively investigate the performance of SFx for large‐scale and dense scenarios, analyze its scalability, and identify its scheduling limitations. Second, we present a new TSCH‐based scheduling function, ie, the distributed broadcast‐based scheduling (DeBraS) algorithm, a scheduling solution designed for dense deployments based on sharing scheduling information between nodes to reduce collisions proactively. We show, through extensive and large‐scale simulations, that DeBraS supports much larger densities than state‐of‐the‐art scheduling functions, outperforming the current distributed 6TiSCH algorithm SFx up to 1.61 times in terms of throughput for large network sizes, at the expense of an increase in power consumption.

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“…III-C. Instead, the width of the schedule, i.e., the number of available channel offsets, is at least W = 3, since frequencies can be reused every 3-hops, thus avoiding also collisions due to interference 1 [29], [30].…”

Section: Detas Algorithm Descriptionmentioning

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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Control and data channels allocation for Large-Scale UWB-based WSNs

Cited by 3 publications

References 10 publications

Pmcmtp's Implementation (in nesC/TinyOS2.x) and Testbed for Its Operation Validation

Pmcmtp's Implementation (in nesC/TinyOS2.x) and Testbed for Its Operation Validation

A distributed density optimized scheduling function for IEEE 802.15.4e TSCH networks

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

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