DynaMO—Dynamic Multisuperframe Tuning for Adaptive IEEE 802.15.4e DSME Networks

Kurunathan, Harrison; Severino, Ricardo; Koubâa, Anis; Tovar, Eduardo

doi:10.1109/access.2019.2937952

Cited by 10 publications

(22 citation statements)

References 22 publications

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“…Mechanisms such as ref. [33,34] could be deployed, with minimum adaptations into these networks to enable flexible superframe order tuning. Also, possibilities of sharing GTS slots have also been explored in ref.…”

Section: Discussion and Future Workmentioning

confidence: 99%

“…In some of our previous works, we explored the CAP reduction functionality of IEEE 802.15.4 and carried out a detailed performance analysis [33]. Additionally, we proposed a dynamic switching of CAP reduction for better performance [34]. In this work, we now propose to briefly analyze the impact of such a CAP reduction technique for IEEE 802.15.7 networks.…”

Section: Scalability Analysismentioning

confidence: 99%

See 1 more Smart Citation

A Comprehensive Worst Case Bounds Analysis of IEEE 802.15.7

Kurunathan¹,

Severino²,

Tovar³

2021

JSAN

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Visible Light Communication (VLC) has been emerging as a promising technology to address the increasingly high data-rate and time-critical demands that the Internet of Things (IoT) and 5G paradigms impose on the underlying Wireless Sensor Actuator Networking (WSAN) technologies. In this line, the IEEE 802.15.7 standard proposes several physical layers and Medium Access Control (MAC) sub-layer mechanisms that support a variety of VLC applications. Particularly, at the MAC sub-layer, it can support contention-free communications using Guaranteed Timeslots (GTS), introducing support for time-critical applications. However, to effectively guarantee accurate usage of such functionalities, it is vital to derive the worst-case bounds of the network. In this paper, we use network calculus to carry out the worst-case bounds analysis for GTS utilization of IEEE 802.15.7 and complement our model with an in-depth performance analysis. We also propose the inclusion of an additional mechanism to improve the overall scalability and effective bandwidth utilization of the network.

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Section: Discussion and Future Workmentioning

confidence: 99%

Section: Scalability Analysismentioning

confidence: 99%

A Comprehensive Worst Case Bounds Analysis of IEEE 802.15.7

Kurunathan¹,

Severino²,

Tovar³

2021

JSAN

Self Cite

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“…In the literature, several objectives functions and extensions were proposed for RPL to improve its performance to specific use cases [55,56]. In RLP [57], routing metrics and objectives functions (OF) are responsible for the construction of directed acyclic graph (DAG).…”

Section: Extending the Rpl Protocol With Cyber-physical Objective Funmentioning

confidence: 99%

A Cloud Based Disaster Management System

Cheikhrouhou

Koubâa

Zarrad

2020

JSAN

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The combination of wireless sensor networks (WSNs) and 3D virtual environments opens a new paradigm for their use in natural disaster management applications. It is important to have a realistic virtual environment based on datasets received from WSNs to prepare a backup rescue scenario with an acceptable response time. This paper describes a complete cloud-based system that collects data from wireless sensor nodes deployed in real environments and then builds a 3D environment in near real-time to reflect the incident detected by sensors (fire, gas leaking, etc.). The system’s purpose is to be used as a training environment for a rescue team to develop various rescue plans before they are applied in real emergency situations. The proposed cloud architecture combines 3D data streaming and sensor data collection to build an efficient network infrastructure that meets the strict network latency requirements for 3D mobile disaster applications. As compared to other existing systems, the proposed system is truly complete. First, it collects data from sensor nodes and then transfers it using an enhanced Routing Protocol for Low-Power and Lossy Networks (RLP). A 3D modular visualizer with a dynamic game engine was also developed in the cloud for near-real time 3D rendering. This is an advantage for highly-complex rendering algorithms and less powerful devices. An Extensible Markup Language (XML) atomic action concept was used to inject 3D scene modifications into the game engine without stopping or restarting the engine. Finally, a multi-objective multiple traveling salesman problem (AHP-MTSP) algorithm is proposed to generate an efficient rescue plan by assigning robots and multiple unmanned aerial vehicles to disaster target locations, while minimizing a set of predefined objectives that depend on the situation. The results demonstrate that immediate feedback obtained from the reconstructed 3D environment can help to investigate what–if scenarios, allowing for the preparation of effective rescue plans with an appropriate management effort.

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“…It is a versatile solution, as it does not require routing information and therefore it can be used with any routing protocol. The works in [26,27] propose a scheduling algorithm, implemented using RPL integration and OpenDSME, which changes dynamically the multi-superframe structure as a function of the current number of network nodes, in order to reduce transmission delays.…”

Section: Related Workmentioning

confidence: 99%

“…Differently from D-DSME, the solutions proposed in [13,[23][24][25][26][27][28] do not address any sharing mechanism to improve the GTSs use, i.e., the ratio between the number of GTSs actually used and the number of the assigned ones, when the flow period is larger than the multi-superframe one. Moreover, they do not support unconfirmed retransmission of multiple replicas of the same message in order to improve reliability.…”

Section: Related Workmentioning

confidence: 99%

Novel Extensions to Enhance Scalability and Reliability of the IEEE 802.15.4-DSME Protocol

et al. 2020

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The Deterministic and Synchronous Multichannel Extension (DSME) of the IEEE 802.15.4 standard was designed to fulfill the requirements of commercial and industrial applications. DSME overcomes the IEEE 802.15.4 limitation on the maximum number of Guaranteed Time Slots (GTS) in a superframe and it also exploits channel diversity to increase the communication reliability. However, DSME suffers from scalability problems, as its multi-superframe structure does not efficiently handle GTS in networks with a high number of nodes and periodic flows. This paper proposes the enhanceD DSME (D-DSME), which consists of two extensions that improve the DSME scalability and reliability exploiting a GTS within the multi-superframe to accommodate multiple flows or multiple retransmissions of the same flow. The paper describes the proposed extensions and the performance results of both OMNeT simulations and experiments with real devices implementing the D-DSME.

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DynaMO—Dynamic Multisuperframe Tuning for Adaptive IEEE 802.15.4e DSME Networks

Cited by 10 publications

References 22 publications

A Comprehensive Worst Case Bounds Analysis of IEEE 802.15.7

A Comprehensive Worst Case Bounds Analysis of IEEE 802.15.7

A Cloud Based Disaster Management System

Novel Extensions to Enhance Scalability and Reliability of the IEEE 802.15.4-DSME Protocol

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