Heterogeneous MAC duty-cycling for energy-efficient Internet of Things deployments

Beaudaux, Julien; Gallais, Antoine; Noël, Thomas

doi:10.1007/s13119-013-0016-4

Cited by 15 publications

(3 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Beaudaux, Gallais & Noël [12] produced a Heterogeneous radio preamble-sampling MAC duty-cycling, for energy-efficient Internet of Things deployments. In such protocols, nodes cyclically activated its radio to sample the channel for incoming messages, being referred to as Low-Power-Listening or LPL.…”

Section: Related Workmentioning

confidence: 99%

Autonomic Management of Power Consumption with IoT and Fog Computing

Sampaio,

Koch,

Westphall

et al. 2021

Preprint

View full text Add to dashboard Cite

We introduce a system for Autonomic Management of Power Consumption in setups that involve Internet of Things (IoT) and Fog Computing. The Central IoT (CIoT) is a Fog Computing based solution to provide advanced orchestration mechanisms to manage dynamic duty cycles for extra energy savings. The solution works by adjusting Home (H) and Away (A) cycles based on contextual information, like environmental conditions, user behavior, behavior variation, regulations on energy and network resources utilization, among others. Performance analysis through a proof of concept present average energy savings of 58.4%, reaching up to 61.51% when augmenting with a scheduling system and variable long sleep cycles (LS). However, there is no linear relation increasing LS time and more savings. The significance of this research is to promote autonomic management as a solution to develop more energy efficient buildings and smarter cities, towards sustainable goals.

show abstract

Section: Related Workmentioning

confidence: 99%

Autonomic Management of Power Consumption with IoT and Fog Computing

Sampaio,

Koch,

Westphall

et al. 2021

Preprint

View full text Add to dashboard Cite

show abstract

“…The results also shows to increase the packets transmission to sink nodes by 82%. The paper [23] aim at providing each node a specific sleep-depth, according to criteria mentioned during the deployment phase such as applicative criteria or location in the routing structure. The idea is implemented over Iot SensLab testbed.…”

Section: B Related Workmentioning

confidence: 99%

Energy Efficient Uplink MAC Protocol for M2M Devices

2019

View full text Add to dashboard Cite

To enable connectivity between a massive number of devices on the Internet of Things (IoT) paradigm, machine-to-machine (M2M) communication is implied. The key feature of emerging and ad hoc networks, such as M2M communication, is a low-complexity medium access protocol. In this paper, an uplink centric simple approach is proposed that aims to improve the energy efficiency of the devices of M2M communication. To facilitate the requirements of these networks with a massive number of ubiquitous devices, the current version of slotted aloha is optimized specifically for M2M architecture. To reduce complexity, this paper does not change the architecture but, additionally, add a simplified approach to gain efficiency. Previous slotted aloha protocols work well under less traffic but in the case of M2M architecture, it may become a bottleneck. The proposed power adaptive technique adjusts the delay time for transmission slots mainly for small sensor devices used in M2M applications, such as health care, weather trackers, and other delays sensitive M2M applications. An improvement in energy efficiency was achieved by increasing the energy efficiency at 60% rate compared with other techniques and lifetime to 45% while keeping the throughput steady and reducing the time and space complexity. The results are simulated in MATLAB. Better message delivery was achieved by considering the power profiles of M2M devices.INDEX TERMS Machine-to-machine, power adaptive, MAC, slotted aloha. I. INTRODUCTIONMachine-to-machine (M2M) network consists of numerous small powered devices communicating through mostly a single medium (channel) [1]. The data is small in chunks and usually in periodic form [2]. Since these devices cannot afford a lot of power consumption for transmission therefore there exists a necessity for upgrading the current version of MAC protocol. In 5G systems, machine-type communication (MTC) is expected to play vital role [3]. MTC is further classified as ultra-reliable MTC (uMTC) which is concerned with availability, high reliability and latency. Where massive MTC (mMTC) is about providing connectivity to massive number of devices whose communication is based on short packets. mMTC main focus is on uplink communication of massive number of small low powered devices. This involves completely different technologies as compared to human-to-human communication mainly used in cellular and LTE networks. For facilitating uplink centric communication certain questions should be solved. 1) HowThe associate editor coordinating the review of this manuscript and approving it for publication was Qiquan Qiao.

show abstract

“…Un escenario heterogéneo podría modificar el comportamiento de la red inalámbrica, por ejemplo, posibles variaciones de tráfico, haciendo necesario para los nodos trabajar con diferentes cargas de tráfico e incluso con diferentes prioridades de acceso al medio [7,62,51]. Diferentes tipos de protocolos MAC se han propuesto para hacer frente a las situaciones que presentan la redes con escenarios heterogéneos y tráfico variable [9,22,8,12,47], además de incorporar técnicas para proveer de priorización y esquemas de clasificación de tráfico [43,46,44].…”

Section: 16unclassified

Modelado y evaluación de prestaciones de redes de sensores inalámbricos heterogéneos con ciclo de trabajo síncrono

Jiménez¹

View full text Add to dashboard Cite

Quisiera expresar mi gratitud al Dr. Jorge Martínez Bauset; agradecer su ayuda, su apoyo, en todo el proceso de desarrollo de esta investigación. Más allá de haber compartido su experiencia y conocimientos, le agradezco sobre todo su enorme paciencia y gran calidad humana.Quiero agradecer también al Dr. Vicent Pla Boscà, sus consejos, apoyo y comprensión, además de generosamente haberme abierto las puertas de la UPV.A todos los miembros del grupo GIRBA. Al Dr. Vicente Casares y al Dr.Luis Guijarro, por su amabilidad. Los cursos que imparten son excelentes. A mis compañeros de laboratorio: Luis, Israel,Ángel, Jairo, Julián y Amal, les agradezco su ayuda y compañerismo.Muy especialmente agradezco a mis padres Tomás e Irene, a mis hermanas Xitlali y Nicté. Muchas gracias por su apoyo incondicional.También quisiera agradecer el apoyo recibido por parte de: • The European Union under the program Erasmus Mundus Partnerships, project EuroinkaNet, GRANT AGREEMENT NUMBER -2014 -0870/001/001. Agradecer también al pueblo de México que, por medio de sus impuestos, permite la existencia de apoyos como el otorgado a través de: v • La Secretaría de Educación Pública (México), bajo el Programa para el Desarrollo Profesional Docente: SEP-SES (DSA/103.5/15/6629).Finalmente, quiero agradecer a la Universidad Autónoma de Sinaloa por haberme permitido continuar con mi preparación académica. Agradecer a todos los estudiantes y profesores que, enépocas pasadas, lucharon por mejorar las condiciones laborales de los trabajadores en general, logrando con mucho esfuerzo y no sin pérdidas, conquistar ese derecho.

show abstract

Heterogeneous MAC duty-cycling for energy-efficient Internet of Things deployments

Cited by 15 publications

References 18 publications

Autonomic Management of Power Consumption with IoT and Fog Computing

Autonomic Management of Power Consumption with IoT and Fog Computing

Energy Efficient Uplink MAC Protocol for M2M Devices

Modelado y evaluación de prestaciones de redes de sensores inalámbricos heterogéneos con ciclo de trabajo síncrono

Contact Info

Product

Resources

About