Resource-Aware IoT Control: Saving Communication Through Predictive Triggering

Privacy Aware on-Demand Resource Provisioning for IoT Data Processing

Edge processing in IoT networks offers the ability to enforce privacy at the point of data collection. However, such enforcement requires extra processing in terms of data filtering and the ability to configure the device with knowledge of policy. Supporting this processing with Cloud resources can reduce the burden this extra processing places on edge processing nodes and provide a route to en...

SpEED-IoT: Spectrum aware energy efficient routing for device-to-device IoT communication

In order to meet the growing demands for high-throughput, cost-effective, and energy efficient solution for the emerging device-to-device (D2D) based Internet of Things (IoT) communication, Dynamic Spectrum Access (DSA) and sharing based protocols have been proposed. However, due to the temporal and spatial transience of spectrum utilization by licensed incumbents, optimal spectrum resource man...

Resource-aware annotation through active learning

Resource-Aware Steel Production Through Data Mining

Steel is one of the most important materials for building a wide variety of products. The downside of a wide usage of steel is the energy-intensive production process and the high output of carbon dioxide. In our efforts to make the production of steel more sustainable, we focus on one step of the steel production only, the conversion of raw iron to high quality steel in a Basic Oxygen Furnace ...

Developing the IoT through Wireless Communication Networks: Analysis of Topologies

Sensor networks consist of a set of sensor nodes which are spread over a geographical area. These nodes are able to perform processing as well as sensing and are additionally capable of communicating with each other [1]. Topology control is one primary challenge in these scenarios. Unlike the wired networks that typically have fixed network topologies, each sensor node in a sensor network can p...