| Title | Smart City Internet of Things Reasoning System for Emergency Responders |
|---|---|
| ID_Doc | 38524 |
| Authors | Swamidurai, R; Kansan, U; Raglin, A; Scott, L |
| Title | Smart City Internet of Things Reasoning System for Emergency Responders |
| Year | 2019 |
| Published | |
| Abstract | Increase usage of IoT devices within "Smart Cities" enables new services for individuals in these cities and new avenues for efficiently solving problems and managing resources. To address these possibilities a system that goes beyond having devices emplaced but having a system that considers the features of the device and how they individually and collectively can react to accomplish the tasks is important. A reasoning system can provide this and if integrated at a control center provide support for individuals prior to or as tasks such as responding to emergencies are being performed. With knowledge of the quality of the network (QoN) and Internet of Things (IoT) devices, a database or knowledgebase which consists of IoT devices, their capabilities, their vulnerabilities, and limitations can link of these devices to emergency tasks through a reasoning system, can be developed. This type of system may allow emergency teams to respond more efficiently by accessing the suggestions from a reasoning system. This paper proposes a reasoning system that assists smart city emergency responders to make decisions to emergency situations with the knowledge of loT Devices and the quality of underlying communication network. |
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