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Along with the rapid growth of IoT technologies and devices, their solutions are currently being applied on various domains such as health-care, transportation and agriculture, but mainly on crowd monitoring and emergency handling. The latter is a safety critical IoT system based on collecting and analyzing the real-time data to perform proper actuation. In order to engineer such a high quality IoT application, a proper software architecture should be designed. In order for the software architecture to be able to optimize critical requirements such as fault-tolerance, performance and energy consumption, it ought to: i) adapt itself to real-time environment transformation, ii) be designed in a proper level of elements distribution. In this paper, we critically analyze a set of IoT distribution and self-adaptation patterns to identify their suitable architectural combinations. Further, we use our IoT modeling framework (CAPS) to …