Distributed intelligence for IoT-based smart cities: a survey

IA Hashem, A Siddiqa, FA Alaba, M Bilal… - Neural Computing and …, 2024 - Springer
The remarkable miniaturization of Internet of Things (IoT)-based systems and the rise of
distributed intelligence are promising research paradigms in the design of smart cities. IoT …

Impact of Distributed-Memory Parallel Processing Approach on Performance Enhancing of Multicomputer-Multicore Systems: A Review

DM Abdulqader, SRM Zeebaree - Qalaai Zanist Journal, 2021 - journal.lfu.edu.krd
Distributed memory is a term used in computer science to describe a multiprocessor
computer system in which each processor has its own private memory. Computational jobs …

RF energy harvesting and information transmission based on NOMA for wireless powered IoT relay systems

A Rauniyar, P Engelstad, ON Østerbø - Sensors, 2018 - mdpi.com
Amidst the rapid development of the fifth generation (5G) networks, Internet of Things (IoT) is
considered as one of the most important part of 5G next generation networks as it can …

Using neural networks for RSSI location estimation in LoRa networks

I Daramouskas, V Kapoulas… - 2019 10th International …, 2019 - ieeexplore.ieee.org
Localize objects in IoT applications is a very popular trend nowadays. In this work, we will
present a neural network trained to estimate the location of an object in (Latitude and …

Variable-Length Multiobjective Social Class Optimization for Trust-Aware Data Gathering in Wireless Sensor Networks

MA Saad, R Jaafar, K Chellappan - Sensors, 2023 - mdpi.com
Data gathering in wireless sensor networks (WSNs) is vital for deploying and enabling
WSNs with the Internet of Things (IoTs). In various applications, the network is deployed in a …

Secrecy performance analysis of cooperative nonorthogonal multiple access in IoT networks

A Rauniyar, ON Østerbø, JE Håkegård… - IEEE Sensors …, 2022 - ieeexplore.ieee.org
Differentsystemmodels utilizing nonorthogonal multiple access (NOMA) have been
successfully studied to meet the growing capacity demands of the Internet of Things IoT) …

Swarm intelligence as a solution for technological problems associated with Internet of Things

M Rath, A Darwish, B Pati, BK Pattanayak… - Swarm Intelligence for …, 2020 - Elsevier
Swarm intelligence (SI) is in the field of artificial intelligence (AI) and is based on the
collective behavior of elements in decentralized and self-organized systems. SI has a great …

A survey of methods for location estimation on Low Power Wide Area Networks

I Daramouskas, V Kapoulas… - 2019 10th International …, 2019 - ieeexplore.ieee.org
This survey provides a comprehensive review on localization systems and algorithms for
LPWAN (Low Power Wide Area Networks). In particular, we are dealing with localization …

[HTML][HTML] Performance Analysis for Time Difference of Arrival Localization in Long-Range Networks

I Daramouskas, I Perikos, M Paraskevas, V Lappas… - Smart Cities, 2024 - mdpi.com
Highlights What are the main findings? Noise can cause discrepancies in the estimated
distances, including negative values, indicating inaccuracies in reference base station …

Nemo: Internet of things based real-time noise and emissions monitoring system for smart cities

A Rauniyar, T Berge… - 2022 IEEE 12th Sensor …, 2022 - ieeexplore.ieee.org
With the advent of ubiquitous sensors and Internet of Things (IoT) applications, research and
development initiatives on smart cities are ram** up worldwide. It enables remote …