Journal of Sensor and Actuator Networks · 2012 · 932 citations · 16 references
ComputingInformation SystemsInformation TechnologyData ManagementInternet Of ThingsSensorsIot Data AcquisitionIot SensorsSensor NetworksCorrelationData ProcessingInternet Of Things ApplicationsInternet Of Things SensingInternet Of Things SensorsIot Data ProcessingObjective Performance MetricsWearable Computing
The Internet of Things has grown to billions of devices, connecting everyday objects to the internet and enabling continuous, granular monitoring that drives new technical capabilities and data literacy behaviors. The paper reviews the current and rapidly emerging Internet of Things ecosystem. The review compiles and analyzes literature on IoT devices, data flows, and applications.
The number of devices on the Internet exceeded the number of people on the Internet in 2008, and is estimated to reach 50 billion in 2020. A wide-ranging Internet of Things (IOT) ecosystem is emerging to support the process of connecting real-world objects like buildings, roads, household appliances, and human bodies to the Internet via sensors and microprocessor chips that record and transmit data such as sound waves, temperature, movement, and other variables. The explosion in Internet-connected sensors means that new classes of technical capability and application are being created. More granular 24/7 quantified monitoring is leading to a deeper understanding of the internal and external worlds encountered by humans. New data literacy behaviors such as correlation assessment, anomaly detection, and high-frequency data processing are developing as humans adapt to the different kinds of data flows enabled by the IOT. The IOT ecosystem has four critical functional steps: data creation, information generation, meaning-making, and action-taking. This paper provides a comprehensive review of the current and rapidly emerging ecosystem of the Internet of Things (IOT).
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