Svårigheter med att standardisera sensordata

Detta är en Kandidat-uppsats från Umeå universitet/Institutionen för informatik

Författare: Jonas Larsson; Joel Nilsson; [2018]

Nyckelord: ;

Sammanfattning: Due to an increase in popularity surrounding the IoT phenomena and Internet connection taking its place in our everyday lives, wireless sensors have shaped their purpose of remotely monitoring the physical world to become a force to be reckoned with. However, as a result of the mass manufacturing of sensor units, hardware and software tends to fluctuate to the extent of impeding a common ground for sensors to operate on in sequence with different systems. The aim of this thesis is to investigate an attitude towards a potential standardisation of output data in sensors, but also the hardships of implementing such a standard and what effects it could possibly have on a market related to sensors in a near future. Our main source of understanding these questions have been through interviews with individuals we have deemed highly relevant because of their relation to a market involving the usage of sensors. Also, to better understand the concept what a standard is, and standardisation means we’ve turned to literature considered highly regarded in the field of standardisation. By examining the results of our interviews, we are able to determine the open mindedness and positivity towards a similarity in sensor data, which borders on transforming the initial estimate of a need to a pure must in developing an overall standard. But there are also concerns regarding ownership of data. If a standard would to be implemented, how will an organisation profit when they can no longer claim to be the sole owner of what a sensor is saying? We believe in a standardisation but that it won’t be controlled by a larger body and instead will happen naturally. But those in charge of a standardisation need to take in consideration of carefully addressing issues such as that of ownership. Convincing entire markets of the need for a standardisation of sensor data should not be seen as an easy task, especially when many organisations today focus on solutions that only benefits their agenda and no one else's.

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