In Internet of Things (IoT) technology the fire-fighting, fire monitoring and safety management system are an important applications. It discusses IoT system framework for fire-fighting, planning, and monitoring. It gives development points for providing research and development of IoT in firefighting, monitoring and safety management field. Intelligent fire monitoring systems need a key of accurate and effective firefighting software design. This paper also discusses about the requirements of user and key main issues of wireless sensor network hardware and software for monitoring fire. It also discusses application features of IoT technology and Wireless Sensor Network technology for according to fire-fighting requirements. Considering that Wireless Sensor Networks (WSNs) are envisioned as integral part of arbitrary IoTs, and the potentially huge number of cooperating IoTs that are usually used in the real world phenomena monitoring and management, the reliability of individual sensor nodes and the overall network performance monitoring and improvement are definitely challenging issues. The incorporation of soft computing technologies, like fuzzy logic and genetic algorithm in sensor nodes has to be investigated in order to gain the manageable network performance monitoring/control and the maximal extension of components life cycle. The Internet of Things (IoT) is one of these methodologies which transform current Internet communication to Machine-to-Machine (M2M) basis. The IoT can seamlessly connect the real world and cyberspace via physical objects that are embeded with various types of intelligent sensors. In this paper, we present the design of an integrated intelligent system for IoT device selection and placement in opportunistic networks using Fuzzy Logic and Genetic Algorithm. We introduce the system structure and present in details the design and implementation issues.
