An Adaptive Sampling Period Approach for Management of IoT Energy Consumption: Case Study Approach.

The Internet of Things (IoT) opens opportunities to monitor, optimize, and automate processes into the Agricultural Value Chains (AVC). However, challenges remain in terms of energy consumption. In this paper, we assessed the impact of environmental variables in AVC based on the most influential variables. We developed an adaptive sampling period method to save IoT device energy and to maintain the ideal sensing quality based on these variables, particularly for temperature and humidity monitoring. The evaluation on real scenarios (Coffee Crop) shows that the suggested adaptive algorithm can reduce the current consumption up to 11% compared with a traditional fixed-rate approach, while preserving the accuracy of the data.

Custom HL7 V3 message provider using web services security features.

Due the availability of new data transmission technologies and new standards for medical studies development, e-health systems have had a sustained adoption in recent years. In this scenario, the health systems are incorporating and increasing the health services offering in response to their needs. This paper presents a system able to transmit medical studies using different communication channels providing an effective use of the medical equipment, the data transmission networks and the human resources availability. This system is based on service oriented architecture (SOA) to propose different alternatives in terms of which data needs to be transmitted for the acquired medical study, in order to attend different medical diagnosis providing an efficient use of the available communication channels. About the security implemented for the data transmission, there are different configurations available for encryption and signing at message level, to ensure that messages cannot be changed without detection during the transmission. For message definition, the HL7 V3 standard is implemented and the medical studies are stored in a centralized database located in a web server accessible via Internet to enable second medical opinion from other specialists.