Review and Classification of Multichannel MAC Protocols for Low-Power and Lossy Networks

Algora, Carlos M. Garcia; Reguera, Vitalio Alfonso; Deligiannis, Nikos; Steenhaut, Kris

doi:10.1109/access.2017.2748178

Cited by 21 publications

(8 citation statements)

References 106 publications

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“…Data rates vary from 20 kbps (868 MHz band) to 250 kbps (2.4 GHz band). Since these are loss-prone networks, with low-power levels, the term Low-power and Lossy Networks (LLN) is also used in the literature [21]. Above IEEE 802.15.4 PHY and MAC layers, standardized higher layer protocols can be implemented, such as for example, IPv6 over Low -Power Wireless Personal Area Networks (6LoWPAN) [22], Routing Protocol for Low-Power and Lossy Networks (RPL) [23], Constrained Application Protocol (CoAP) [15], and so forth.…”

Section: Lr-wpan Standards and Technologiesmentioning

confidence: 99%

Emerging Wireless Sensor Networks and Internet of Things Technologies—Foundations of Smart Healthcare

Gardasevic

Katzis

Bajić

et al. 2020

Sensors

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Future smart healthcare systems—often referred to as Internet of Medical Things (IoMT) – will combine a plethora of wireless devices and applications that use wireless communication technologies to enable the exchange of healthcare data. Smart healthcare requires sufficient bandwidth, reliable and secure communication links, energy-efficient operations, and Quality of Service (QoS) support. The integration of Internet of Things (IoT) solutions into healthcare systems can significantly increase intelligence, flexibility, and interoperability. This work provides an extensive survey on emerging IoT communication standards and technologies suitable for smart healthcare applications. A particular emphasis has been given to low-power wireless technologies as a key enabler for energy-efficient IoT-based healthcare systems. Major challenges in privacy and security are also discussed. A particular attention is devoted to crowdsourcing/crowdsensing, envisaged as tools for the rapid collection of massive quantities of medical data. Finally, open research challenges and future perspectives of IoMT are presented.

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Section: Lr-wpan Standards and Technologiesmentioning

confidence: 99%

Emerging Wireless Sensor Networks and Internet of Things Technologies—Foundations of Smart Healthcare

Gardasevic

Katzis

Bajić

et al. 2020

Sensors

View full text Add to dashboard Cite

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“…Few surveys specifically discuss certain layer [46] based on services and functions. 6 layers [30], [40], [87], [94] 5 layers [11], [24], [30], [31], [64], [78], [79], [94] 4 layers [10], [11], [38], [63], [64], [67], [75], [78], [80], [89], [90] 3 layers [20], [31], [32], [44], [62], [68], [78], [86], [88], [100] Specific layer [18], [31], [37], [46], [56], [68], [73], [79], [80] The percentages of the trend for the IoT architecture layers review, according to the layers classification, are shown in Fig. 7.…”

Section: Internet Of Things Architecturementioning

confidence: 99%

“…Physical/MAC [31], [38], [44], [56], [68], [73], [86], [87], [89], [ This paper suggests that the IoT architecture classification comprise 3 main layers with regards to the IEEE standards and the communication protocols in Table VI and VII. Possible research in IoT architecture must be able to match the 3-layer classification with functionalities and communication protocols.…”

Section: Internet Of Things Architecturementioning

confidence: 99%

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A Survey on Trend and Classification of Internet of Things Reviews

et al. 2020

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The Internet of Things (IoT) is shaping the current and next generation of the Internet. The vision of IoT is to embed communication capabilities with a highly distributed, ubiquitous and dense heterogeneous devices network. This vision includes the adaptation of secure mobile networks, anytime, anywhere, by anyone or anything with new intelligent applications and services. Many efforts have been made to review the literature related to the IoT for the benefit of IoT development. However, many issues need to be addressed to overtake the full potential of the IoT. Therefore, this paper aims to classify and standardize IoT research areas by considering review papers that were published between 2010 and 2019. This paper analyzes a total of 95 related reviews, which were manually selected from databases based on 6 chosen areas. This paper presents the trends and classification of IoT reviews based on 6 research areas, namely, application, architecture, communication, challenges, technology, and security. IoT communication research has been dominating the trends with 21% of total reviews and more than 100% research growth in the last 10 years. Hence, this paper can provide useful insights into specific emerging areas of IoT to assist future research.

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“…Se considera despreciable para este cálculo el consumo generado por el tiempo que el radio permanece en sleep, ya que es del orden de los nanoamperes. La capacidad en conjunto de las dos baterías AA en serie según es C bateria = 6000 mAh [22].…”

Section: Análisis Energéticounclassified

Red de Sensores Inalámbricos para la Adquisición de Datos en Casas de Cultivo

Peláez¹,

Perez

López

et al. 2019

Ing.

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Contexto: La adquisición y almacenamiento de parámetros ambientales, a través de redes de sensores inalámbricos, posibilita el análisis del crecimiento y desarrollo de cultivos protegidos. Dicho análisis en la agricultura presenta retos por tratarse de seres vivos, además de que no es posible controlar todas las variables. Método: En este trabajo se diseñó una arquitectura de hardware y software utilizando una red de sensores inalámbricos para la adquisición de datos en casas de cultivo. Las simulaciones de la propuesta se realizaron en la unidad empresarial básica de cultivos varios Valle del Yabú de Santa Clara durante dos horas con seis nodos de medición, un coordinador y el gateway. Se realizó un análisis energético de la propuesta calculando el tiempo de vida real de las baterías. Resultados: Los experimentos demostraron la efectividad del diseño, almacenando todas las mediciones transmitidas desde diferentes lugares dentro de las casas de cultivos protegidos. El análisis energético garantizó una alta durabilidad de las baterías de los nodos de medición. Conclusiones: Con el sistema de adquisición expuesto se podrían mantener o modificar los valores de las variables efectivas para reducir pérdidas de recursos y mejorar la eficiencia productiva.

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Review and Classification of Multichannel MAC Protocols for Low-Power and Lossy Networks

Cited by 21 publications

References 106 publications

Emerging Wireless Sensor Networks and Internet of Things Technologies—Foundations of Smart Healthcare

Emerging Wireless Sensor Networks and Internet of Things Technologies—Foundations of Smart Healthcare

A Survey on Trend and Classification of Internet of Things Reviews

Red de Sensores Inalámbricos para la Adquisición de Datos en Casas de Cultivo

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