Energy efficient IoT based on wireless sensor networks

Cho, Young-Bok; Kim, Minkang; Woo, Sung-Hee，

doi:10.23919/icact.2018.8323730

Cited by 13 publications

(8 citation statements)

References 10 publications

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“…The IoT network is often a complex large scale network and dynamic routing is difficult to be used effectively in this kind of network. [17] The Low-Energy Adaptive Clustering Hierarchy (LEACH) protocol utilizes several methods and techniques to reduce energy consumption in WSN. [18] LEACH is the most popular routing algorithms used in WSNs [19].…”

Section: Methods For Reducing Energy Consumption In Wireless Sensor Nmentioning

confidence: 99%

“…Other example of hierarchical network architecture to reduce IoT network energy consumption is presented in [17]. It is based on hierarchical relay node placement with energy efficient routing mechanism.…”

Section: Methods For Reducing Energy Consumption In Wireless Sensor Nmentioning

confidence: 99%

“…This proposed network architecture gives balanced energy consumption and thus better network lifetime. [17] Modern long-range low-power IoT networks (NB-IoT, LoRa, SigFox) have star topology, so intelligent routing algorithms are out of the question. [21] In these technologies, the ultra-low energy consumption has been achieved by using very limited bandwidth and/or intelligent modulation.…”

Section: Methods For Reducing Energy Consumption In Wireless Sensor Nmentioning

confidence: 99%

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Requirements for Energy Efficient Edge Computing: A Survey

Väänänen

Hämäläinen

2018

Lecture Notes in Computer Science

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Internet of Things is evolving heavily in these times. One of the major obstacle is energy consumption in the IoT devices (sensor nodes and wireless gateways). The IoT devices are often battery powered wireless devices and thus reducing the energy consumption in these devices is essential to lengthen the lifetime of the device without battery change. It is possible to lengthen battery lifetime by efficient but lightweight sensor data analysis in close proximity of the sensor. Performing part of the sensor data analysis in the end device can reduce the amount of data needed to transmit wirelessly. Transmitting data wirelessly is very energy consuming task. At the same time, the privacy and security should not be compromised. It requires effective but computationally lightweight encryption schemes. This survey goes thru many aspects to consider in edge and fog devices to minimize energy consumption and thus lengthen the device and the network lifetime.

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Section: Methods For Reducing Energy Consumption In Wireless Sensor Nmentioning

confidence: 99%

Section: Methods For Reducing Energy Consumption In Wireless Sensor Nmentioning

confidence: 99%

Section: Methods For Reducing Energy Consumption In Wireless Sensor Nmentioning

confidence: 99%

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Requirements for Energy Efficient Edge Computing: A Survey

Väänänen

Hämäläinen

2018

Lecture Notes in Computer Science

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“…Cross-layer energy consumption parameters have been used for analysis of network lifetime in research works carried out in [14]. Hierarchical wireless network architecture for energy conservation to achieve the green networked IoT for healthcare applications has been proposed in [15]. Adoption of energy conserving routing protocols by monitoring the energy levels of the nodes and balanced energy utilization approaches in low-power healthcare systems have been discussed in [16].…”

Section: Introductionmentioning

confidence: 99%

Evolving Framework for Iot-Based Energy Efficient Wireless Sensor Networks for Healthcare Services

Singal¹,

Singh²

2022

IJEAST

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The Internet-of-Things (IoT) is a system of interrelated computing devices having unique identifiers that enables to transfer data over a network without requiring human-to-computer or human-to-human interaction. With the rapid growth in embedded wireless computing devices with high-speed internet connectivity, the Wireless Sensor Networks (WSNs) for healthcare applications comprises of interconnected several tinypowered, wearable, wireless bio-sensors to provide an effective way of collecting vital health-related data. The emerging paradigm of IoT in smart healthcare system requires a specialized secure framework in order to enable real-time health monitoring, reliable diagnostics, effective treatment processes, and many other related aspects of healthcare system. In this paper, various aspects of energy consumption in IoT-based framework of WSNs for healthcare services are discussed. The framework for IoTbased healthcare network cater to upgraded microcontrollers, IoT gateway devices, various wireless and web technologies for IoT, variety of bio-sensors and data collectors, and secure communication protocols. Techniques to optimize the energy consumption in WSNs have been presented leading to energy efficient framework for WSNs suitable for healthcare systems.

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“…Podemos encontrar varios estudios de rendimiento energético para WSN, incluso orientados a aplicaciones de la Internet de las cosas (IoT). Por ejemplo, estudios exhaustivos de la energía para este tipo de aplicaciones de IoT, basadas en WSN, se presentan en [36,37,14]. Sin embargo, todos estos estudios se basan en simulaciones o se desarrollan enfocados en el protocolo de enrutamiento y sin considerar adecuadamente el protocolo de control de acceso medio (MAC).…”

Section: Trabajos Relacionadosunclassified

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

Jiménez¹

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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.

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Energy efficient IoT based on wireless sensor networks

Cited by 13 publications

References 10 publications

Requirements for Energy Efficient Edge Computing: A Survey

Requirements for Energy Efficient Edge Computing: A Survey

Evolving Framework for Iot-Based Energy Efficient Wireless Sensor Networks for Healthcare Services

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

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