It presents new simulation and testbed experiments to show the e

It presents new simulation and testbed experiments to show the effects and benefits of REL for IoT systems. The results show that, compared with the performance of other well-known routing protocols, REL increases the network lifetime, enhances service availability,and ensures QoS support for IoT applications, while reducing the packet loss rate and signaling overhead.The remainder of this paper is structured as follows. Section 2 outlines the existing routing protocol sand their drawbacks compared with REL. Section 3 describes the proposed routing by the energy and link quality (REL) protocol for IoT applications. Section 4 shows simulation and testbed experiments. Section 5 summarizes the main contributions and results of this article.

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?Related WorkRouting protocols for WSNs can be classified into flat, location-based and hierarchical/cluster categories [16]. The flat structure can be considered a suitable solution for many IoT applications (in network with homogeneous nodes), such as comfortable homes and offices, healthcare, environmental monitoring, and many smart city services. Many applications employed in these scenarios have low tolerance for packet delay and loss.Routing protocols based on clustering are an alternative to improve QoS and energy consumption fora set of IoT applications [17], such as multimedia-based fire detection [18]. A hierarchical architecture has nodes with different roles or functionalities (heterogeneous nodes, which can be classified feather-head and non-head nodes).

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Sensor fusion methods combine data from disparate Anacetrapib sources of information in a way that should ideally give better performance than that achieved when each source of information is used alone. The design of systems based on sensor fusion methods requires the availability of complementary sensors in order that the disadvantages of each sensor are overcome by the advantages of the others. An interesting application niche for sensor fusion��the one dealt with in this paper��is motion tracking. None of the several existing sensor technologies, taken alone, can meet the desired performance specifications, especially when motion is to be tracked without restrictions Brefeldin_A in space and time [1]. Vision and inertial/magnetic sensors are considered in this regard a particularly useful combination for developing a sense of position (localization) and motion, which is critically important in several technical fields, including augmented reality [2,3], robotics [4�C7] and human machine interfaces [8].

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