OAU: Opportunistic Antenna Utilization for Wi-Fi and Bluetooth Coexistence

Park, Wonbin; Han, Jung-Geun; Jang, Seowoo; Bahk, Saewoong

doi:10.1109/glocom.2016.7842032

Cited by 3 publications

(3 citation statements)

References 3 publications

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“…Numerous studies have revealed the impact of competing wireless technologies in the same frequency bands. The cross technology interference is mostly in the ISM band: 2.4-2.48 GHz and refers to Bluetooth, ZigBee and Wi-Fi: whether it is the effect of Wi-Fi on ZigBee [74,75], on Bluetooth [76,77,79,81,83], or on both [82][83][84]. Different band coexistence solutions were proposed, including: positioning [76,77], mathematical models, such as Markov [75,82], cross-technology design [75], coordination schemes [79], and opportunistic antenna utilization [81].…”

Section: Band Coexistence For Short To Medium Range Communicationmentioning

confidence: 99%

“…The cross technology interference is mostly in the ISM band: 2.4-2.48 GHz and refers to Bluetooth, ZigBee and Wi-Fi: whether it is the effect of Wi-Fi on ZigBee [74,75], on Bluetooth [76,77,79,81,83], or on both [82][83][84]. Different band coexistence solutions were proposed, including: positioning [76,77], mathematical models, such as Markov [75,82], cross-technology design [75], coordination schemes [79], and opportunistic antenna utilization [81]. Additionally, as new BT standards are proposed: BTv4.0 [78] and BTv5.0 [80], band coexistence analysis should also be addressed.…”

Section: Band Coexistence For Short To Medium Range Communicationmentioning

confidence: 99%

“…Only possible by adding a long range antenna (gain: 20-30 dB) 2. Based on range and throughput loss measurements and estimations[79,81,84].…”

mentioning

confidence: 99%

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Design of Wireless Sensors for IoT with Energy Storage and Communication Channel Heterogeneity

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Machedon-Pisu

Hamza-Lup

2019

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Autonomous Wireless Sensors (AWSs) are at the core of every Wireless Sensor Network (WSN). Current AWS technology allows the development of many IoT-based applications, ranging from military to bioengineering and from industry to education. The energy optimization of AWSs depends mainly on: Structural, functional, and application specifications. The holistic design methodology addresses all the factors mentioned above. In this sense, we propose an original solution based on a novel architecture that duplicates the transceivers and also the power source using a hybrid storage system. By identifying the consumption needs of the transceivers, an appropriate methodology for sizing and controlling the power flow for the power source is proposed. The paper emphasizes the fusion between information, communication, and energy consumption of the AWS in terms of spectrum information through a set of transceiver testing scenarios, identifying the main factors that influence the sensor node design and their inter-dependencies. Optimization of the system considers all these factors obtaining an energy efficient AWS, paving the way towards autonomous sensors by adding an energy harvesting element to them.

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