Artificial intelligence techniques for cognitive sensing in future IoT: State-of-the-Art, potentials, and challenges
Smart, secure and energy-efficient data collection (DC) processes are key to the realization
of the full potentials of future Internet of Things (FIoT)-based systems. Currently, challenges …
of the full potentials of future Internet of Things (FIoT)-based systems. Currently, challenges …
Security-critical energy-aware task scheduling for heterogeneous real-time MPSoCs in IoT
Internet of Things (IoT) devices, such as intelligent road side units and video-based
detectors, are being deployed in emerging applications like sustainable and intelligent …
detectors, are being deployed in emerging applications like sustainable and intelligent …
Blockchain-enabled service optimizations in supply chain digital twin
Digital twin is considered an alternative for optimizing real-world performance within virtual
context, which also applies to the optimization of Supply Chain Management (SCM) …
context, which also applies to the optimization of Supply Chain Management (SCM) …
Task scheduling for energy-harvesting-based IoT: A survey and critical analysis
The Internet of Things (IoT) has important applications in our daily lives, including health and
fitness tracking, environmental monitoring, and transportation. However, sensor nodes in IoT …
fitness tracking, environmental monitoring, and transportation. However, sensor nodes in IoT …
Modeling and analysis of energy harvesting and smart grid-powered wireless communication networks: A contemporary survey
The advancements in smart power grid and the advocation of “green communications” have
inspired the wireless communication networks to harness energy from ambient …
inspired the wireless communication networks to harness energy from ambient …
Collection of data with drones in precision agriculture: Analytical model and LoRa case study
Unmanned aerial vehicles (UAVs) are autonomous devices employed as data collectors in
precision agriculture to support a large number of applications. These UAVs gather data …
precision agriculture to support a large number of applications. These UAVs gather data …
Task scheduling in the internet of things: challenges, solutions, and future trends
T Bu, Z Huang, K Zhang, Y Wang, H Song, J Zhou… - Cluster …, 2024 - Springer
Abstract The Internet of Things (IoT) paradigm, by transforming physical devices into
innovative items, affects every aspect of our daily lives. It has brought a slew of evolutionary …
innovative items, affects every aspect of our daily lives. It has brought a slew of evolutionary …
Exploring renewable-adaptive computation offloading for hierarchical QoS optimization in fog computing
Fog computing is an emerging architectural paradigm for the implementation of the Internet
of Things, where computation moves from cloud servers to network edges. Fog computing …
of Things, where computation moves from cloud servers to network edges. Fog computing …
Optimal energy-aware task scheduling for batteryless IoT devices
Today's IoT devices rely on batteries, which offer stable energy storage but contain harmful
chemicals. Having billions of IoT devices powered by batteries is not sustainable for the …
chemicals. Having billions of IoT devices powered by batteries is not sustainable for the …
Resource and task scheduling for SWIPT IoT systems with renewable energy sources
In this paper, we consider Internet of Things (IoT) systems that can be applied to various
applications with low-mobility or static IoT devices, such as wireless sensor networks and …
applications with low-mobility or static IoT devices, such as wireless sensor networks and …