This paper proposes a novel fuzzy computational algorithm for IoT smart irrigation systems. It describes all the possible sensors, actuators and microcontrollers that could be used in the irrigation systems. Based on these sensors a novel system architecture is presented. The irrigation system continuously monitoring air temperature and humidity, and ground moisture. The ground humidity sensors are interspersed all over the field. The measurements are send in a microcontroller that applies a fuzzy computational algorithm and decides whether to open a servo valve or not. All the data collected from the microcontroller are sent to a cloud database for statistical information and processing.

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A Wearable Health Monitoring system is described that uses low-cost off the shelf sensors and computing components, along with custom made software, to provide an economical solution to personalized health care monitoring problems, while retaining all the functionality and flexibility of more expensive systems. Cloud technology is used to store sensor measurements which are categorized based on the criticality of bio-signals. Furthermore, a new session protocol for medical sensor data transmission is proposed. In a prototype system, tests based on different transmission architectures have so far yielded useful and favorable results in comparison with existing protocols and usually more expensive systems.