The Internet of Things (IoT), in general, is responsible for making devices collect and exchange data. Allowing them to communicate with each other [1]. That is why it not only merges many fields in computing, but it is applied in almost every other field, expanding beyond engineering into all domains of life. This thesis explores the roles of sensors, which are integral components of IoT systems, focusing on their use in acquiring the data. The data acquired from the sensors are usually analog values of a signal and the IoT system needs to perform computations necessary for the system to communicate the measured value to the user. Thus, the sensors explored in this thesis include temperature sensors, humidity sensors, pressure sensors, light sensors, pH sensors, sound sensors, and dual-axis accelerometers. The thesis surveys the uses of sensors across four key IoT application areas: Smart Agriculture, Smart Cities, Smart Environment, and Smart Body. These categories were explored to understand the practical relevance and deployment of sensor technologies. With the sensor categories mentioned, computational methods were performed to convert raw sensor voltage data into measurable values such as temperature, pH (potential of hydrogen), PSI (pound-force per square inch), and SPL (sound pressure level) thus creating an interface code that translates the raw analog data into measured values. This work also initiated the creation of proof of concept of a sensor database. The database is intended to serve as a tool that simplifies sensor integration needed for computation. This thesis lays the groundwork for future sensor-based IoT systems integrations
