Research involving Blockchain technology has been growing due to its decentralization and immutability characteristics. Several applications from the most varied areas can benefit from the Blockchain, such as finance, logistics, and others. Internet of Things (IoT) is a new paradigm that has emerged to provide services to users through intelligent objects arranged in the day-to-day and provided various research, for example, smart buildings, smart cities, precision agriculture, and Ehealth. E-health applications can be considered as a set of computational solutions focused on the health area. This paper aims to study the introduction of Blockchain technology in an E-health approach. A Blockchain tool was used in conjunction with an E-health database and evaluated its performance. The results indicated that the transaction validation times are favorable for the characteristics of an E-health application.
Due to the resource constraints of the sensor nodes, energy provisioning in wireless sensor networks remains a challenging task, particularly in outdoor scenarios. Among the literature proposals to mitigate this problem, we highlight semantic clustering as a recent energy-efficient technique for prolonging the network lifetime. In semantic clustering, each cluster has a semantic leader (collector) which is periodically elected according to an energy-related criterion. However, since collectors’ energy depletion is faster than the others members of their cluster, suitable election mechanisms are required to avoid the energy hole problem. Here we propose FLECHA, a mechanism based on the ARIMA model to predict semantic collectors elections with leader-node alternation. Our hypothesis is that by anticipating the best candidates to semantic leaders, we can improve the energy-saving at the node-level, and hence allow the network lifetime to be further extended.
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