A dual IEEE 802.11 and IEEE 802.15–4 network architecture for energy-efficient communications with low-demanding applications

Foche-Perez, Ignacio; Simó-Reigadas, Javier; Prieto-Egido, Ignacio; Morgado, Eduardo; Martínez-Fernández, Andrés

doi:10.1016/j.adhoc.2015.08.028

Cited by 4 publications

(5 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…But again, they require a backhaul to provide connectivity to the network. Although some works address the problem of interconnecting remote areas using multi-hop networks [11], their use to provide connectivity to cycling events is not considered due to the sporadic and dynamic nature of this use case.…”

Section: A Connectivity In Remote Environmentsmentioning

confidence: 99%

Continuous Athlete Monitoring in Challenging Cycling Environments Using IoT Technologies

Municio

Daneels

Brouwer

et al. 2019

IEEE Internet Things J.

View full text Add to dashboard Cite

IoT-based solutions for sport analytics aim to improve performance, coaching and strategic insights. These factors are especially relevant in cycling, where real-time data should be available anytime, anywhere, even in remote areas where there are no infrastructure-based communication technologies (e.g. LTE, Wi-Fi). In this paper, we present an experience report on the use of state-of-the-art IoT technologies in cycling, where a group of cyclists can form a reliable and energy efficient mesh network to collect and process sensor data in real-time, such as heart rate, speed and location. This data is analyzed in real-time to estimate the performance of each rider and derive instantaneous feedback. Our solution is the first to combine a local body area network to gather the sensor data from the cyclist and a 6TiSCH network to form a multi-hop long-range wireless sensor network in order to provide each bicycle with connectivity to the sink (e.g. a moving car following the cyclists). In this work we present a detailed technical description of this solution, describing its requirements, options and technical challenges. In order to assess such a deployment, we present a large publicly available data-set from different real-world cycling scenarios (mountain road cycle racing and cyclo-cross) which characterizes the performance of the approach, demonstrating its feasibility and evidencing its relevance and promising possibilities in a cycling context for providing low-power communication with reliable performance.

show abstract

Section: A Connectivity In Remote Environmentsmentioning

confidence: 99%

Continuous Athlete Monitoring in Challenging Cycling Environments Using IoT Technologies

Municio

Daneels

Brouwer

et al. 2019

IEEE Internet Things J.

View full text Add to dashboard Cite

show abstract

“…While all the works mentioned above do not consider multihop scenarios, dualWireless [34] tries to use ZigBee and Wi-Fi together for improving multihop network performance. Specifically, dualWireless utilizes ZigBee for tree routing and Wi-Fi for data transmission, which achieves both low control overhead and high throughput.…”

Section: B Multi-radio Operationmentioning

confidence: 99%

Wi-BLE: On cooperative operation of Wi-Fi and Bluetooth low energy under IPv6

Lee

Kim

et al. 2022

J. Commun. Netw.

View full text Add to dashboard Cite

show abstract

“…These infrastructure-based approaches have the disadvantage that deploying and maintaining base stations is expensive and the IoT devices can only function in the presence of a base station. Infrastructure-less approaches on the other hand [8,10,25] can work locally without the need to be connected to the Internet. They are based in low-power multi-hop Wireless Sensor Network (WSN) technologies such as DASH7, Zigbee, and 6TiSCH.…”

Section: Iot Platform For Challenging Environmentsmentioning

confidence: 99%

“…This device has a Quad Core 1.2GHz Broadcom BCM2837 64bit CPU, 1GB RAM and MicroSD storage 9 . The operating system is Raspbian Stretch with desktop, version of November 2017, with kernel version 4.9 10 . The desktop version is chosen over the minimal OS, providing the ability to run and show a front-end application on the same device.…”

Section: Hardware Specificationsmentioning

confidence: 99%

Personalized Real-Time Monitoring of Amateur Cyclists on Low-End Devices

Brouwer

Ongenae

Daneels

et al. 2018

Companion of the the Web Conference 2018 on the Web Conference 2018 - WWW '18

View full text Add to dashboard Cite

Enabling real-time collection and analysis of cyclist sensor data could allow amateur cyclists to continuously monitor themselves, receive personalized feedback on their performance, and communicate with each other during cycling events. Semantic Web technologies enable intelligent consolidation of all available context and sensor data. Stream reasoning techniques allow to perform advanced processing tasks by correlating the consolidated data to enable personalized and context-aware real-time feedback. In this paper, these technologies are leveraged and evaluated to design a Proof-of-Concept application of a personalized real-time feedback platform for amateur cyclists. Real-time feedback about the user's heart rate and heart rate training zones is given through a web application. The performance and scalability of the platform is evaluated on a Raspberry Pi. This shows the potential of the framework to be used in real-life cycling by small groups of amateur cyclists, who can only access low-end devices during events and training. CCS CONCEPTS• Information systems → Data analytics; Data streams; • Theory of computation → Semantics and reasoning;

show abstract

A dual IEEE 802.11 and IEEE 802.15–4 network architecture for energy-efficient communications with low-demanding applications

Cited by 4 publications

References 30 publications

Continuous Athlete Monitoring in Challenging Cycling Environments Using IoT Technologies

Continuous Athlete Monitoring in Challenging Cycling Environments Using IoT Technologies

Wi-BLE: On cooperative operation of Wi-Fi and Bluetooth low energy under IPv6

Personalized Real-Time Monitoring of Amateur Cyclists on Low-End Devices

Contact Info

Product

Resources

About