With the recent explosive growth of the Internet of Things (IoT), edge computing is emerging
as a modern computing paradigm that coexists with the cloud to process massive amounts …

In order to reduce unnecessary data transmissions from Internet of Things (IoT) sensors, this
article proposes a multivariate-time-series-prediction-based adaptive data transmission …

This article proposes a novel deep learning-based robust Internet of Things (IoT) sensor
data transmission period control (DL-RDTPC) framework in an IoT edge computing system …

In a variety of Internet of Things (IoT) applications, there is a growing need to constantly
transmit large amounts of real-time data from IoT sensors to enable precise environmental …

While success stories are likely to be reported, failures are rarely published--even if a lot can
be learned from them. In this paper we present experiences and findings from our testbed …

In the evolving computing landscape, extending from centralized clouds to multi-cloud and
edge, the need for adaptable observability is becoming increasingly critical. Traditional static …

Node lifetime predictions are a crucial design time tool when develo** Internet of Things
(IoT) solutions with constrained energy budgets. However, this analysis is typically based on …

In this study, we present an edge-based intelligent IoT control system designed to optimize
energy efficiency while ensuring secure and real-time incident detection. The system …

Through the Internet of Things (IoT), autonomous sensing devices can be deployed to
regularly capture environmental and other sensor measurements for a variety of usage …

As various Internet of Things technologies emerges, IoT monitoring services are rapidly
developed. Most IoT sensors deployed in an IoT monitoring environment should reduce the …