Results 31 to 40 of about 282 (168)
Network resource optimization with reinforcement learning for low power wide area networks
EURASIP Journal on Wireless Communications and Networking, 2020 As the 4th industrial revolution using information becomes an issue, wireless communication technologies such as the Internet of Things have been spotlighted. Therefore, much research is needed to satisfy the technological demands for the future society.
Gyubong Park, Wooyeob Lee, Inwhee Joe
doaj +1 more source
Turbo-Fsk,a Physical Layer for LPWA: Synchronization and Channel Estimation [PDF]
2018 European Conference on Networks and Communications (EuCNC), 2018 Turbo Frequency Shift Keying (Turbo-FSK) has been considered as a promising physical layer for low power wide area applications. Its constant envelope at the transmitter combined with performance close to the Shannon's limit enable to achieve a high energy efficiency.
Dehmas, Francois +2 more
openaire +2 more sources
Interference and secrecy analysis based on randomly spacial model in clustered WSNs
IET Communications, Volume 16, Issue 19, Page 2278-2292, December 2022., 2022 Abstract Clustering and layering are widely employed in large‐scale wireless sensor networks (WSNs) to alleviate data implosion, reduce transmission delay and improve energy efficiency. It is vital to conduct performance analysis in clustered WSNs for better defining and designing networks.
Fei Tong, Tian Zhu, Yuyang Peng
wiley +1 more source
An Analysis of the Energy Consumption of LPWA-based IoT Devices [PDF]
2018 International Symposium on Networks, Computers and Communications (ISNCC), 2018 The unique challenges posed by the breadth of Internet of Things applications have resulted in the development of a number of different Low Power Wide Area wireless solutions. These technologies enable scalable long range networks on cheap low power devices, facilitating the development of a ubiquitous Internet of Things. The energy efficiency of these
Finnegan, Joseph, Brown, Stephen
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Insights into the Issue of Deploying a Private LoRaWAN
Sensors, 2022 The last decade has transformed wireless access technologies and crystallized a new direction for the internet of things (IoT). The modern low-power wide-area network (LPWAN) technologies have been introduced to deliver connectivity for billions of ...
Radek Fujdiak +4 more
doaj +1 more source
Framework for implementing air quality monitoring system using LPWA-based IoT technique
Measurement: Sensors, 2023 More attention is being paid to air quality monitoring in today's society because of the rapid rise of industrial and transportation uses. Conventional air quality monitoring systems, on the other hand, are unable to provide real-time air quality data ...
Deepak Narayan Paithankar +4 more
doaj +1 more source
A Flexible Physical Layer for LPWA Applications: Simulations and Field Trials [PDF]
2019 IEEE 5th World Forum on Internet of Things (WF-IoT), 2019 Future Low Power Wide Area (LPWA) systems are expected to provide support for a wider range of applications: faster throughput and performance for lower levels of latency is hence forecast for a similar battery lifetime. These contradictory requirements lead to consider a flexible physical layer operating for different modes from low data rate, low ...
Mannoni, Valérian +2 more
openaire +2 more sources
IEEE Access, 2019 The advancement of technologies over years has poised Internet of Things (IoT) to scoop out untapped information and communication technology opportunities.
Sakshi Popli +2 more
doaj +1 more source
A Survey of Internet of Things Services Provision by Telecom Operators [PDF]
EAI Endorsed Transactions on Internet of Things, 2018 Telecom industry will play a vital role in delivering Internet of Things (IoT) solutions and services. Researchers trust that IoT services deployment by Telecom is inevitable during the next few years.
Manal Alareqi +3 more
doaj +1 more source
IEEE Access, 2021 An orthogonal frequency division multiplexing (OFDM) transmitter for 802.11ah uplink may consume unnecessarily high power due to the malicious effect of a large peak-to-average power ratio (PAPR).
Li Cho +3 more
doaj +1 more source