Results 51 to 60 of about 819 (194)

Upper-Confidence Bound for Channel Selection in LPWA Networks with Retransmissions [PDF]

open access: yes2019 IEEE Wireless Communications and Networking Conference Workshop (WCNCW), 2019
In this paper, we propose and evaluate different learning strategies based on Multi-Arm Bandit (MAB) algorithms. They allow Internet of Things (IoT) devices to improve their access to the network and their autonomy, while taking into account the impact of encountered radio collisions.
Bonnefoi, Remi   +3 more
openaire   +4 more sources

Performance Analysis and Uplink Scheduling for QoS-Aware NB-IoT Networks in Mobile Computing

open access: yesIEEE Access, 2019
Low-power wide-area (LPWA) communication has gained increasing attention in recent years with the rapid growth of fifth generation evolution (5G), the Internet of Things (IoT), and mobile computing.
Xin Chen   +3 more
doaj   +1 more source

Energy‐Efficient M2M Scheduling Over Cellular Networks: A Survey

open access: yesIET Wireless Sensor Systems, Volume 16, Issue 1, January/December 2026.
Energy consumption has been one of the major challenges that researchers have been studying to mitigate the energy efficiency problem in M2M communication. This paper presents a comprehensive survey of scheduling techniques aimed at optimising energy consumption in M2M communication.
Moses Kwasi Torkudzor   +5 more
wiley   +1 more source

A Review of the Internet of Things (IoT) Landscape: Technologies, Applications, and Open Challenges

open access: yesJournal of Electrical and Computer Engineering, Volume 2026, Issue 1, 2026.
The Internet of Things (IoT) has emerged as a large‐scale ecosystem that integrates sensing, communication, and computation across diverse application domains. Its deployment spans smart homes, wearable devices, industrial automation, and smart cities, where heterogeneous devices are required to operate under strict performance, reliability, and ...
Sidna Jeddou   +5 more
wiley   +1 more source

Introducing Redundancy in the Radio Planning of LPWA Networks for Internet of Things

open access: yesProceedings of the 13th International Joint Conference on e-Business and Telecommunications, 2016
This paper presents an enhanced methodology in order to introduce redundancy requirements in the LowPower Wide-Area (LPWA) networks radio planning for Internet-of-Things (IoT). The Jake’s Curves were extended, allowing to compute new log-normal fading margins which traduce combined coverage and redundancy requirements.
Vieira, Pedro   +2 more
openaire   +3 more sources

Monitoring and Analysis of Circumferential Pressure for Long‐Distance Pipe Jacking Construction in Composite Strata

open access: yesEngineering Reports, Volume 7, Issue 1, January 2025.
In this paper, based on the above monitoring data obtained from the multi‐parameter LPWA wireless sensing system for pipe jacking built by 5G and IoT, the mechanical characteristics of large‐diameter reinforced concrete pipe jacking in the jacking process in composite strata are investigated.
Yunfei Zhao, Feilun Luo, Liang Xiong
wiley   +1 more source

Effect of Downlink Traffic on Performance of LoRaWAN LPWA Networks: Empirical Study [PDF]

open access: yes2018 IEEE 29th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), 2018
Today the LoRaWAN is among the most widely adopted Low Power Wide Area Network (LPWAN) technologies. In contrast to the other alternatives, LoRaWAN enables deploying both continent-wide public networks, and private networks composing one or several gateways. In this paper, we empirically investigate how does the presence of the downlink traffic affects
Mikhaylov Konstantin   +2 more
openaire   +3 more sources

Machine learning approach of multi‐RAT selection for travelling users in 5G NSA networks

open access: yesIET Networks, Volume 14, Issue 1, January/December 2025.
The authors present RAT selection algorithm for efficient resource allocation for public bus travelling user(s), utilising live data from multiple 5G NSA base stations. Models of the supervised machine learning algorithms: SVM, DNN and XGBoost were deployed for implementation to predict or select the appropriate RAT between 4G and 5G RATs.
Nurudeen O. Salau   +2 more
wiley   +1 more source

Resource allocation for non-orthogonal multiple access (NOMA) enabled LPWA networks [PDF]

open access: yes, 2019
In this paper, we investigate the resource allocation for uplink non-orthogonal multiple access (NOMA) enabled low-power wide-area (LPWA) networks to support the massive connectivity of users/nodes.
Li, Kaihan   +2 more
core   +1 more source

Surrogate Model-Based Energy-Efficient Scheduling for LPWA-Based Environmental Monitoring Systems

open access: yesIEEE Access, 2018
The rapid development of the Internet of Things (IoTs) with newly proposed wireless communication technology has compactly generated connections between humans and the physical world.
Jin Tong   +3 more
doaj   +1 more source

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