Within the incredibly complex networked ecosystem of ‘The Internet Of Things’, things that possess IoT connectivity, both human and material objects, are relentlessly transmitting data to the Internet. The context within this notion deal with the triad of identity, location and state, resulting in a continuous collection of ‘who I am, where I am and what is happening within my environment’. (Mitew, 2014). The significance shifts from materiality to the data stream of information and relationships. This information is transmitted to the Internet in real time where it is stored in enormous online data aggregates that can be accessed remotely via one’s smartphone or computer.
Technological advances have allowed larger application to the world, especially regarding the sector of unmanned aircraft systems, A.K.A, drones. IoT applications are typically composed of:
- A sensor “at rest,” e.g., on a highway or a bridge or a thermostat that gathers input (like weather conditions or seismic activity)
- A connection (via the Internet) between the sensor and a back-end data collection infrastructure
- A back-end data collection infrastructure that’s commonly based in the cloud
Drone technology is evolving very rapidly, to which they are already beginning to efficiently replace the connected sensors at rest with one device that upholds characteristics and abilities that make them deployable to different locations, capable to carrying flexible payloads, re-programmable in mission and diverse in measurement functions.