In this paper, an architecture of a ZigBee wireless sensor network for application in smart irrigation system is proposed. After a brief overview of the most important features of ZigBee standard related to Wireless Sensor Network (WSN) operation, Arduino-based sensor node for acquisition of soil moisture and air temperature is described. This node is equipped with XBee S2 communication module in order to be part of the established WSN. Furthermore, we presented the reception of the collected data on the main control unit, designed on the Waspmote microcontroller platform equipped with XBee S2 coordinator. All necessary steps required to establish the communication between Waspmote platform and XBee S2 coordinator device are described, even though Waspmote platform is designed to communicate only with Xbee routers and end devices. Proposed architecture allows flexible implementation with reliable data transfer that provides necessary information for autonomous decision-making in smart irrigation system.

The Internet of Things (IoT) is a leading trend with numerous opportunities accompanied by advantages as well as disadvantages. Parallel with IoT development, significant privacy and personal data protection challenges are also growing. In this regard, the General Data Protection Regulation (GDPR) is often considered the world’s strongest set of data protection rules and has proven to be a catalyst for many countries around the world. The concepts and interaction of the data controller, the joint controllers, and the data processor play a key role in the implementation of the GDPR. Therefore, clarifying the blurred IoT actors’ relationships to determine corresponding responsibilities is necessary. Given the IoT transformation reflected in shifting computing power from cloud to the edge, in this research we have considered how these computing paradigms are affecting IoT actors. In this regard, we have introduced identification of IoT actors according to a new five-computing layer IoT model based on the cloud, fog, edge, mist, and dew computing. Our conclusion is that identifying IoT actors in the light of the corresponding IoT data manager roles could be useful in determining the responsibilities of IoT actors for their compliance with data protection and privacy rules.

Numerous researchers are working on Ambient Assisted Living systems to enable more comfortable and safer living for senior people in their homes. Due to modern lifestyles and an aging population, this has become a very important issue. According to the available literature, it is obvious that the kitchen is one of the most important and most dangerous rooms in the home. However, there is still evident lack of monitoring systems suitable for specific kitchen activities. In this paper, we propose a monitoring system capable of identifying activities related to the cooking process, and a decision-making system capable of identifying some unwanted and possibly critical conditions. The proposed systems are designed to satisfy the requirements of the modern Ambient Assisted Living systems dedicated to older adults. The proposed monitoring system consists of ultrasound, temperature, and humidity sensors. The acquired results from these sensors are the inputs for the decision-making system, which generate warnings or alarms intended for the senior users and/or formal or informal caregivers. This system is designed to improve home safety related to kitchen activities, as well as to provide information about the lifestyle and daily activities of senior users. Experimental validation of the proposed system confirms its functionality and accurate design approach.

One possible weather station solution based on the Raspberry Pi platform is described in this paper. Information about current air temperature, air humidity, atmospheric pressure and relative altitude is collected from appropriate sensors. Received data are processed and transmitted from measuring point to the distant location via UDP protocol. Sensors data acquisition and UDP server are implemented on Raspberry Pi platform. On the other side, an android application which requests and presents acquired weather data at distant location is developed. Proposed solution provides real-time data acquisition and transfer of measured parameters, like much more expensive commercial systems. Moreover, it is very flexible and can be easily adapted to various applications.