Results 21 to 30 of about 2,131,184 (147)

Folded Chirp-Rate Shift Keying Modulation for LEO Satellite IoT

IEEE Access, 2019
In the low earth orbit (LEO) satellite Internet of Things (IoT), the IoT devices can be distributed in remote areas (e.g., desert, ocean, and forest) for some special applications, where they are unable to have direct terrestrial network accesses and can
Chao Yang, Mei Wang, Lin Zheng, Guangpeng Zhou   +3 more
doaj   +1 more source

Efficient Marginalized Particle Smoother for Indoor CSS–TOF Localization with Non-Gaussian Errors

Remote Sensing, 2020
The time-series state and parameter estimations of indoor localization continue to be a topic of growing importance. To deal with the nonlinear and positive skewed non-Gaussian dynamic of indoor CSS–TOF (Chirp-Spread-Spectrum Time-of-Flight) ranging ...
Yuan Yang, Manyi Wang, Yunxia Qiao, Bo Zhang, Haoran Yang   +4 more
doaj   +1 more source

Enhanced LoRa-Like Transmission for Multiuser Interference Environments Using Variable-Slope Chirp Spread Spectrum Signals

IEEE Access
We consider the setting of Long Range (LoRa) transmission in the uplink of a multi-user system, where users operate with the same spreading factor. LoRa is a popular low-power wide area network wireless protocol that is designed for IoT applications ...
Dalia Ibrahim, Karim Banawan, Said E. El-Khamy   +2 more
doaj   +1 more source

Probabilistic Error Modeling and Topology-Based Smoothing of Indoor Localization and Tracking Data, Based on the IEEE 802.15.4a Chirp Spread Spectrum Specification

International Journal of Distributed Sensor Networks, 2014
Location awareness is a core capability in many context-aware computing platforms. Multiple existing systems either provide inadequate accuracy or require extensive calibration or preexisting measurements in order to be functional.
Olga E. Segou, Stelios C. A. Thomopoulos
doaj   +1 more source

Moving towards IoT Based Digital Communication: An Efficient Utilization of Power Spectrum Density for Smart Cities

Sensors, 2020
The future of the Internet of Things (IoT) is interlinked with digital communication in smart cities. The digital signal power spectrum of smart IoT devices is greatly needed to provide communication support.
Tariq Ali, Abdullah S. Alwadie, Abdul Rasheed Rizwan, Ahthasham Sajid, Muhammad Irfan, Muhammad Awais   +5 more
doaj   +1 more source

Reliable and Low-Complexity Chirp Spread Spectrum-Based Aerial Acoustic Communication

IEEE Access, 2020
Aerial acoustic communication (AAC) has been developed for a variety of Internet-of-things (IoT) applications, thanks to the merit of embedding small amounts of data directly into audio contents and transmitting them through commercial off-the-shelf ...
Jihwan Lee, Chulyoung Kwak, Seongwon Kim, Saewoong Bahk   +3 more
doaj   +1 more source

AN ADVANCED FLOOD MONITORING SYSTEM USING SPREAD SPECTRUM BASED LORA TECHNOLOGY

, 2021
The flood monitoring system is very much essential & significant. In this framework of the project, we use Lora (low power long-range protocol) as a method of data communication in a wireless network.
Shaneel Saurabh Sao
core   +1 more source

Reducing the Cost of Implementing Filters in LoRa Devices

Sensors, 2019
This paper presents two methods to optimize LoRa (Low-Power Long-Range) devices so that implementing multiplier-less pulse shaping filters is more economical.
Shania Stewart, Ha H. Nguyen, Robert Barton, Jerome Henry   +3 more
doaj   +1 more source

Improving Quality-of-Service in LoRa Low-Power Wide-Area Networks through Optimized Radio Resource Management

Journal of Sensor and Actuator Networks, 2020
Low Power Wide Area Networks (LPWAN) enable a growing number of Internet-of-Things (IoT) applications with large geographical coverage, low bit-rate, and long lifetime requirements.
Eduardo Sallum, Nuno Pereira, Mário Alves, Max Santos   +3 more
doaj   +1 more source

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

Safety 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, Saihua Jiang, Shun Li, Hongyi Guo, Luyao Huang, Jianjun Xia, Yang Lan, Zhijun Zheng, Zhiwei Tan   +8 more
wiley   +1 more source