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 …

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 …

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 …

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 …

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 …

Differentsystemmodels utilizing nonorthogonal multiple access (NOMA) have been
successfully studied to meet the growing capacity demands of the Internet of Things IoT) …

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 …

With the advent of ubiquitous sensors and Internet of Things (IoT) applications, research and
development initiatives on smart cities are ramping up worldwide. It enables remote …

In this paper, we examine the localization capabilities of LoRa networks in terms of the
localization error. A LoRa network in the area of our University was created with precisely …

Indoor networks became the focus of attention of many researchers due to its important role
to connect to the wide networks. Many algorithms have been applied or proposed to …