Technologies and Architectures for Multimedia-Support in Wireless Sensor Network

Zacharias, Sven; Newe, Thomas

doi:10.5772/13288

Cited by 3 publications

(3 citation statements)

References 42 publications

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“…Bluetooth also has higher data rate compared to WSNs hence enabling live audio streaming. On the contrary, Bluetooth suffer from energy depletion because it consumes higher energy in comparison with WSN [5]. Table II shows three different classes for Bluetooth.…”

Section: Existing Interference Mitigation Scheme Employedmentioning

confidence: 96%

“…WSN is low cost and affordable wireless sensor suitable for most low data rate monitoring. The IEEE802.15.4 is a standard defined specifically for low data rate wireless sensor applications and the low power consumption characteristic enables the nodes to operate for a period of time powered only by a battery [5]. IEEE802.15.4 [10] defines two sub-layers consist of physical (PHY) layer and medium-access-control (MAC) layer.…”

Section: F Wireless Sensor Networkmentioning

confidence: 99%

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Interference issues and mitigation method in WSN 2.4GHz ISM band: A survey

Azmi

Kamarudin

Mahmuddin

et al. 2014

2014 2nd International Conference on Electronic Design (ICED)

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Current lifestyles promote the development and advancement in wireless technologies, especially in Wireless Sensor Networks (WSN) due to its several benefits. WSN offers a low cost, low data rate, flexible routing, longer lifetime, and lowenergy consumption suitable for unmanned and long term monitoring. Among huge WSN applications, some key applications are smart houses, environmental monitoring, military applications, and other monitoring applications. As a result, ubiquitous increase in the number of wireless devices occupying the 2.4GHz frequency band. This causes a dense wireless connection followed by interference problem to WSN in the 2.4GHz frequency band. WSN is most affected by the interference issue because it has a lower data rate and transmission power compared to WLAN. Despite efforts made by researchers, to the author's knowledge, the interference issue is still a major problem in wireless networks. This paper aims to review the coexistence and interference issues of existing wireless technologies in the 2.4GHz Industrial, Scientific and Medical (ISM) band.

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Section: Existing Interference Mitigation Scheme Employedmentioning

confidence: 96%

Section: F Wireless Sensor Networkmentioning

confidence: 99%

Interference issues and mitigation method in WSN 2.4GHz ISM band: A survey

Azmi

Kamarudin

Mahmuddin

et al. 2014

2014 2nd International Conference on Electronic Design (ICED)

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“…The IoT services have a wireless access network that establishes a centralized and distributed communication for data transmission to the Internet. On the one hand, a large percentage of IoT applications use ISM or unlicensed bands that operate in different technologies, such as WiFi [23,24], ZigBee [23], Bluetooth [25,26,24], and Low-Power Wide-Area Network (LPWAN) [27,28]. On the other hand, licensed bands operate with technologies such as Long Term Evolution (LTE), 5G, Narrowband-IoT (NB-IoT), and LTE Machine [29,30], among others.…”

Section: Radiolectric Spectrummentioning

confidence: 99%

Arquitectura de radio cognitiva para servicios masivos de IoT con acceso dinámico al espectro

Buitrago¹

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En esta investigación se propone una arquitectura cognitiva para servicios masivos de Internet de las cosas sobre Huecos Espectrales en Televisión. La propuesta seleccionó la banda de frecuencia de TVWS como la mejor para enfrentar el reto de escasez de espectro radioeléctrico para servicios masivos de IoT. La arquitectura provee la lista de canales disponibles a dispositivos IoT y tiene restricciones de Calidad de servicio (QoS). Definimos un mecanismo de acceso novedoso que se basa en políticas regulatorias al interactuar con TVWS Geolocation Base de datos (GLDB) a través del Protocolo de acceso a espacios en blanco (PAWS) para proporcionar la lista de canales disponibles para dispositivos IoT. Con respecto a restricciones de QoS, exploramos diferentes tipos de implementaciones y referencias áreas de cobertura considerando un modelo de probabilidad de pérdida de paquetes. Además, la investigación describe el proceso de optimización para obtener la máxima área de servicio mientras se mantiene una probabilidad de interrupción por debajo de un objetivo dado. Además, aplicamos un mecanismo de macro-diversidad para mejorar la probabilidad de pérdida de paquetes con respecto a nuestra propuesta y una topología con un solo dispositivo maestro. Podemos evidenciar que la probabilidad promedio de pérdida de paquetes es reducido en 26% cuando la carga es igual al 80% en nuestra propuesta.

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Adaptation Techniques for Multimedia Communication in Wireless Sensor Networks

Sarisaray-Boluk¹

2015

Wireless Sensor Multimedia Networks

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Technologies and Architectures for Multimedia-Support in Wireless Sensor Network

Cited by 3 publications

References 42 publications

Interference issues and mitigation method in WSN 2.4GHz ISM band: A survey

Interference issues and mitigation method in WSN 2.4GHz ISM band: A survey

Arquitectura de radio cognitiva para servicios masivos de IoT con acceso dinámico al espectro

Adaptation Techniques for Multimedia Communication in Wireless Sensor Networks

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