Browsing by Subject "IoT"
Now showing items 1-8 of 8
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DeCoRIC: Decentralized Connected Resilient IoT Clustering
(2020)Maintaining peer-to-peer connectivity with low energy overhead is a key requirement for several emerging Internet of Things (IoT) applications. It is also desirable to develop such connectivity solutions for non-static ... -
Energy Efficient Dynamic Directional Modulation with Electrically Small Antennas
(2022)This letter proposes a compact and energy efficient Directional Modulation (DM) scheme for small and power constrained devices (e.g. Internet of Things wireless sensors). The scheme uses a uniform circular array of monopole ... -
An Evaluation of Open Source Serverless Computing Frameworks Support at the Edge
(2019)The proliferation of Internet of Things (IoT) and the success of resource-rich cloud services have pushed the data processing horizon towards the edge of the network. This has the potential to address bandwidth costs, and ... -
Monitoring & Predicting QoS in IoT Services
(Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2020)Internet of Things (IoT) applications can be built from a number of heterogeneous services provided by a range of devices, which are potentially resource constrained and/or mobile. These device characteristics can lead to ... -
On the Efficiency of Miniaturized 360° Beam-Scanning Antenna
(IEEE, 2019)The efficiency and beam-scanning performance of a compact, beam reconfigurable antenna are presented. The proposed design provides a 360° reconfigurable bidirectional radiation pattern in the horizontal plane by using phase ... -
Sharing Distributed and Heterogeneous Resources toward End-to-End 5G networks: A Comprehensive Survey and a Taxonomy
(2020)Regardless of the context to which it is applied,sharing resources is well-recognized for its considerable benefits.Since 5G networks will be service-oriented, on-demand, and highly heterogeneous, it is ... -
Taking advantage of correlated information for energy-aware scheduling in the IoT: A deep reinforcement learning approach
(Trinity College Dublin. School of Engineering. Discipline of Electronic & Elect. Engineering, 2020)Millions of battery-powered sensors deployed for monitoring purposes in a multitude of scenarios, e.g., agriculture, smart cities, industry, etc., require energy-efficient solutions to prolong their lifetime. When these ... -
Urban Intelligence with Deep Edges
(2020)With the increased accuracy available from state of the art deep learning models and new embedded devices at the edge of the network capable of running and updating these models there is potential for urban intelligence ...