Authors
KYLE BENSON, CASEY GRANT
Publication date
2019
Description
The integration of the Internet of Things (IoT) into daily life promises to revolutionize societal-scale operations. It integrates pervasive sensing/actuation, dynamic data analytics and communications, which encourages domains such as transportation, home automation, healthcare, and emergency response to become increasingly IoT-enabled. Smart spaces such as office buildings, tend to increase the deployment of novel networking infrastructures along with state-of-the-art IoT devices; this provides data-driven insights to improve the situational awareness of a space. This is particularly useful in mission-critical applications for enabling timely and reliable communication in smart spaces. Recent smart city efforts such as the SmartAmerica and Global City Teams Challenges have showcased the integration of IoT into a variety of application domains [9, 11, 35, 61]. A distributed data exchange system that manages relevant data flows to/from IoT devices and individuals (data producers and consumers) is a critical centerpiece of IoT deployments. In smart spaces, such devices are deployed at the Edge (closer to individuals) and thus, data exchange systems must support a flexible Edge networking infrastructure to manage data flows with varying quality levels. Producers of data correspond to IoT sensors, events to data produced/consumed, and consumers of data to interested entities (ie, human stakeholders or other IoT devices and services). The data exchange system routes information to actuators (eg, alarms) or human stakeholders. In mission-critical emergency scenarios, IoT devices can forward raw sensor data to interested recipients (eg, first …