An Investigation on Received Signal Strength Indicator for Wireless Connection such as Bluetooth in an IoT-based Indoor Environment
Deepika Bandhana, A. B. M. Shawkat Ali · 2023
Period advancement initiates people to opt for options to handle tasks smartly that consume less time and enhance productivity in any aspect of life. Similarly, many individuals are conscious about doing things smartly even in a household where people spend considerable time with their families and loved ones. Consequently, the IoT market is manufacturing more smart products, leading homes to procure more of these smart products. At present, the capability of automated products has improved with the internet, which allows the devices to send data back and forth for awareness and interpretation which is indeed useful for informed decision-making in any home-related scenario. It has been noted via studies and observation that a lot of smart products are Bluetoothenabled for convenient wireless connections to ensure data/information exchange in a home-based smart personal area network. However, circumstances have also dictated that initiating Bluetooth connection between devices is another challenge that everyone is facing. Alas, exploring the variables and parameters that determine a successful connection is essential. One such parameter is the Received Signal Strength, which expresses the signal strength of the receiving device. The value that dictates the measurable strength is called the Received Signal Strength Indicator which will be the theme of this empirical study. The experiment involves taking Bluetooth RSSI readings in a household while introducing various variables to observe the changes in the readings. The experiment was conducted at two different locations to avoid biases in readings and to observe a fair relationship between the dependent and independent variables. The independent variables also included weather parameters to observe if weather patterns play a significant role in determining a better Bluetooth connection, indoors. For that reason, 1200 samples of Bluetooth RSSI data were collected per scenario and explored to understand its significance in the context of IoT-based indoor localization.