Nowadays, the use of IoT-based approaches is expanding to the point where they have a variety of applications with various proposals such as monitoring and controlling things. Furthermore, many of these solutions were applicable to the application; there are other challenges, the most significant of which are energy consumption and covered area. Various investigations have been conducted to date in evaluating capabilities and improving the functionality of BLE from delay and throughput to

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... ility. Nonetheless, they have not considered managing energy consumption with interference in BLE 5. As a result, this paper proposes an adaptive model for managing energy consumption in BLE 5. We measured energy consumption in connection events using various types of output power and PHY in an experiment. Finally, by using the adaptive model in the mobility scenario in the IUST football stadium, we reduced 13.4% of energy consumption and 1% of missed events rather than criteria mode, which had an average of 5% missed events. In the other scenario, we reduced energy consumption by 18.7% while increasing missed events by 1% rather than criteria mode and an average of 3% in missed events.