Coexistence measurements and analysis of IEEE 802.15.4 with Wi-Fi and bluetooth for vehicle networks

Zacharias, Sven; Newe, Thomas; O'Keeffe, Sinéad; Lewis, Elfed

doi:10.1109/itst.2012.6425289

Cited by 14 publications

(4 citation statements)

References 10 publications

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“…A radio channel may be blacklisted globally, i.e., for all the radio links [16]. However, external interference is often location-dependent [8], which makes such solution very suboptimal.…”

Section: B Blacklisting Techniquesmentioning

confidence: 99%

Adaptive Multi-Channel Offset Assignment for Reliable IEEE 802.15.4 TSCH Networks

Kotsiou

Papadopoulos

Théoleyre

2018

2018 Global Information Infrastructure and Networking Symposium (GIIS)

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More and more IoT applications require low-power operations and high reliability (close to 100%). Unfortunately, radio transmissions are unreliable by nature since they are prone to collision and external interference. The IEEE 802.15.4-2015 TSCH standard has been recently proposed to provide highreliability through radio channel hopping and by appropriately scheduling all the transmissions. Since some of the radio channels still suffer from external interference, blacklisting techniques consist in detecting bad radio channels, and in privileging the good ones to transmit the packets. MABO-TSCH is a centralized scheduling algorithm which allocates several channel offsets to allow each radio link to apply a localized blacklist. However, such strategy is inefficient for large blacklists. In this study, we propose to allocate the channel offsets dynamically at each timeslot according to the number of parallel transmissions, while still avoiding collisions. We evaluate the performance of our solution relying on a real experimental dataset, highlighting the relevance of dynamic and per timeslot channel offset assignment for environments with high external interference, such as a smart building.

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“…A radio channel may be blacklisted globally, i.e., for all the radio links [16]. However, external interference is often location-dependent [8], which makes such solution very suboptimal.…”

Section: B Blacklisting Techniquesmentioning

confidence: 99%

Adaptive Multi-Channel Offset Assignment for Reliable IEEE 802.15.4 TSCH Networks

Kotsiou

Papadopoulos

Théoleyre

2018

2018 Global Information Infrastructure and Networking Symposium (GIIS)

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“…Bluetooth was also exploiting frequency hopping to improve the reliability. Zacharias et al investigated the co-existence of Wi-Fi and Bluetooth networks [28], and proposed to blacklist the concerned WLAN channels for Bluetooth. However, only 1-hop topologies are considered.…”

Section: Global Vs Localized Blacklistingmentioning

confidence: 99%

LABeL

Kotsiou

Papadopoulos

Théoleyre

2017

Proceedings of the 20th ACM International Conference on Modelling, Analysis and Simulation of Wireless and Mobile Systems

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Industrial applications require more and more low-power operations, low-delay, deterministic communications as well as end-toend reliability close to 100%. However, traditional radio technologies are sensitive to external interference, which degrades the reliability and introduces unpredictable delays due to collision detection and retransmissions. Therefore, recent standardization efforts focus on slow channel hopping strategies to provide strict Quality of Service (QoS) for the Industrial Internet of Things (IIoT). By keeping nodes time-synchronized and by employing a channel hopping approach, IEEE 802.15.4-TSCH (Time-Slotted Channel Hoping) aims at providing high-level network reliability. However, some radio channels still suffer from high external interference and need to be blacklisted. Since the interference pattern is rather dynamic, unpredictable and highly localized, we here propose heuristics to decide which channels to blacklist. To avoid deafness, the transmitter and the receiver must also agree on a consistent blacklist. Furthermore, since the external interference may be time-dependent as well, we also propose mechanisms to decide when a channel has to be blacklisted or on the contrary recovered. Our thorough experimental evaluation based on OpenWSN and FIT IoT-LAB highlight the relevance of this approach: with a localized blacklisting strategy, we increase by 20% packet delivery rate for the worst links.

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“…All the technologies must coexist in the same environment. Other studies on this coexistence have been carried out in [4][5][6][7][8][9][10], in which the parameters of each technology and how they influence each other are evaluated.…”

Section: Introductionmentioning

confidence: 99%

Optimal Placement of UDAP in Advanced Metering Infrastructure for Smart Metering of Electrical Energy Based on Graph Theory

Machado

Inga

2022

Electronics

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This paper presents an algorithm to optimize the deployment of hubs for smart energy metering based on the Internet of Things. A georeferenced scenario is proposed in which each user must connect to a concentrator, either directly or through another user, minimizing the resources required to achieve connectivity. Consequently, to carry out the optimization, the minimum spanning tree between devices is found, in which the maximum connection distance and the capacity of the hubs are limited. Additionally, this work seeks to achieve a scalable algorithm applicable to any georeferenced scenario to be simulated. The main contribution of this work is an IoT-based smart metering architecture that optimizes resources and adapts to a scenario that changes or integrates more users to the energy metering network without losing the connectivity of the initial users. As a result of the application of the algorithm, a scenario route map is generated. The scenario’s parameters include the number of hops in the network, the optimal number of concentrators and their geographical location, the average number of hops, and the total distance of the path, among others. In this project, a georeferenced urban scenario was considered in which residential areas coexist with intelligent buildings. The scenario has growth stages in which the algorithm is applied, and in each one, the optimal route map is generated.

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Coexistence measurements and analysis of IEEE 802.15.4 with Wi-Fi and bluetooth for vehicle networks

Cited by 14 publications

References 10 publications

Adaptive Multi-Channel Offset Assignment for Reliable IEEE 802.15.4 TSCH Networks

Adaptive Multi-Channel Offset Assignment for Reliable IEEE 802.15.4 TSCH Networks

LABeL

Optimal Placement of UDAP in Advanced Metering Infrastructure for Smart Metering of Electrical Energy Based on Graph Theory

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