1. Internet of Things Big Data Analytics: The Case of Noise Level Measurements at the Roskilde Music Festival
- Author
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Raghava Rao Mukkamala, Ravi Vatrapu, Herman Bergner, Benjamin Flesch, Sindre Klavestad, and Tor-Morten Groenli
- Subjects
Big Data ,Internet of things ,050210 logistics & transportation ,Iterative and incremental development ,business.industry ,Computer science ,020208 electrical & electronic engineering ,05 social sciences ,Big data ,Real-time computing ,Web stack ,Music festival ,Sound measurement ,02 engineering and technology ,Big data analytics ,Software deployment ,Architecture ,0502 economics and business ,0202 electrical engineering, electronic engineering, information engineering ,IoT analytics ,Noise (video) ,Semantic Web Stack ,business - Abstract
In this paper we demonstrate the feasibility of IoT deployment for noise level measurement to time-limited and high-intense, high-volume data, events. Through an iterative process, a prototype solution were designed and implemented in a real-time, privacy-compliant IoT sensor system under tight constraints concerning budget and development time. Our sensor system enables festival management to easily track, document and further, by applying real time big data analytics to the harvested information, have fact-full insights generated for decision making in terms of resolving noise disturbances. The whole approach was demonstrated by the use of lightweight Internet of Things architecture demonstrating how web technologies can be used throughout the technology stack in and IoT big data analytics case.
- Published
- 2018
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