Results 51 to 60 of about 1,338 (179)

Can energy optimization lead to economic and environmental waste in LPWAN architectures?

open access: yesETRI Journal, 2020
As low‐power wide‐area network (LPWAN) end devices (EDs) are deployed in massive scale, their economic and environmental costs of operation are becoming too significant to ignore and too difficult to estimate.
Mina Rady   +2 more
doaj   +1 more source

OPEN-MAC: A Low Power Guaranteed Downlink Network Architecture [PDF]

open access: yesJisuanji gongcheng, 2019
Aiming at the problem of the downlink cost and high power consumption of Low Power Wide Area Network(LPWAN),this paper proposes a new network architecture OPEN-MAC.The operation of the OPEN-MAC network is defined in the Time Division Multiple Access(TDMA)
HUANG Xiaobing, NIE Lanshun
doaj   +1 more source

Monitoring the effects of ovariectomy on seasonal movement behavior in suburban female white‐tailed deer using internet of things‐enabled devices

open access: yesWildlife Biology, Volume 2026, Issue 5, September 2026.
Abundant deer populations often cause conflicts in suburban communities, yet traditional population reduction methods, such as controlled hunting, can be challenging to implement. Fertility control, specifically through ovariectomy, can limit reproduction and reduce populations in certain settings, but its effect on movement behavior remains poorly ...
Vickie DeNicola   +2 more
wiley   +1 more source

Autonomous Decentralized Traffic Control Using Q-Learning in LPWAN

open access: yesIEEE Access, 2021
Owing to the recent research and development on the Internet-of-Things (IoT) and machine-to-machine (M2M) communication, wireless sensor networks have attracted considerable attention.
Aoto Kaburaki   +4 more
doaj   +1 more source

Recent Advances in Electrospun Nanofibers for Triboelectric Nanogenerators: Performance Enhancement Strategies and Emerging Applications

open access: yesAdvanced Materials, Volume 38, Issue 31, 2 June 2026.
This review highlights recent advances in electrospun nanofiber‐based triboelectric nanogenerators, emphasizing how material design, fiber architecture, and interface engineering collectively enhance output performance and mechanical durability. Key developments in porous, aligned, core‐shell, and hierarchical nanofibers are discussed alongside ...
MD Fajla Rabbi   +3 more
wiley   +1 more source

Security mechanisms and Vulnerabilities in LPWAN

open access: yesIOP Conference Series: Materials Science and Engineering, 2018
The count of Internet of things (IoT) devices getting connected to internet are exponentially growing and is proposed to be 75 billion by 2025. IoT devices uses Low Power Wide Area Network (LPWAN) that are precisely build to operate at a lower cost with greater power efficiency and long range connectivity than traditional wireless networks.
Smilty Chacko, Mr. Deepu Job
openaire   +1 more source

Unleashing the Potential of the Internet of Things: A Systematic Review of Low Power Wide Area Network Technologies for Smart Systems

open access: yesJournal of Electrical and Computer Engineering
As the Internet of Things (IoT) ecosystem rapidly expands, the anticipated connection of over 75 billion devices highlights a critical demand for efficient and scalable connectivity solutions.
Aisyah Illani Sulaiman   +2 more
doaj   +1 more source

A Multi‐Node Wearable Monitoring System for Firefighters With Edge AI and LoRa‐BLE Heterogeneous Communication

open access: yesSafety Science and Technology, Volume 1, Issue 2, June 2026.
A multinode wearable system tailored for firefighters is presented, featuring LoRa‐BLE heterogeneous communication and edge‐side deep learning. It integrates a lightweight 1D‐CNN for real‐time posture recognition and an adaptive Physiological Strain Index (aPSI) model, ensuring reliable status monitoring and safety warning in complex fireground ...
Chongyuan Ni   +8 more
wiley   +1 more source

An Overview of Deep Learning Techniques for Big Data IoT Applications

open access: yesInternational Journal of Communication Systems, Volume 39, Issue 4, 10 March 2026.
Reviews deep learning integration with cloud, fog, and edge computing in IoT architectures. Examines model suitability across IoT applications, key challenges, and emerging trends Provides a comparative analysis to guide future deep learning research in IoT environments.
Gagandeep Kaur   +2 more
wiley   +1 more source

An Application of a LPWAN for Upgrading Proximal Soil Sensing Systems

open access: yesSensors, 2022
In recent years, the Internet of Things (IoT), based on low-power wide-area network (LPWAN) wireless communication technology, has developed rapidly. On the one hand, the IoT makes it possible to conduct low-cost, low-power, wide-coverage, and real-time ...
Yonghui Tu, Haoye Tang, Wenyou Hu
doaj   +1 more source

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