Routing protocol for low-power and lossy networks is a routing solution specifically developed for wireless sensor networks, which does not quickly rebuild topology of mobile networks. In this article, we propose a mechanism based on mobility entropy and integrate it into the corona RPL (CoRPL) mechanism, which is an extension of the IPv6 routing protocol for low-power and lossy networks (RPL). We extensively evaluated our proposal with a simulator for Internet of Things and wireless sensor networks. The mobility entropy-based mechanism, called CoRPL+E, considers the displacement of nodes as a deciding factor to define the links through which nodes communicate. Simulation results show that the proposed mechanism, when compared to CoRPL mechanism, is effective in reducing packet loss and latency in simulated mobile routing protocol for low-power and lossy networks. From the simulation results, one can see that the CoRPL+E proposal mechanism provides a packet loss reduction rate of up to 50% and delays reduction by up to 25% when compared to CoRPL mechanism.

RFID has been widely used in applications for indoor objects location. This article proposes a 3D location algorithm based on a system that uses a mobile reader and a reference matrix of real (passive) and virtual tags. The proposed algorithm compares the RSSI of the target tag with the RSSI of the tags of the reference matrix and defines the estimated position. Preliminary results show that the location scheme may be promising for indoor location of tags.Resumo. RFID vem sendo bastante utilizada em aplicações para localização de objetos em ambientes internos. Este artigo propõe um algoritmo de localização 3D baseado em um sistema que utiliza um leitor móvel e uma matriz de referência de etiquetas passivas e virtuais. O algoritmo proposto compara o RSSI da etiqueta alvo com o RSSI das etiquetas da matriz de referência e define a posição estimada. Resultados preliminares mostram que o esquema de localização poderá ser promissor na localização indoor de etiquetas.

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