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Many literature papers evaluate solutions in wireless sensor networks by simulation experiments. However, little attention is given to the adequacy of the simulator propagation models to the environment in which such solutions are employed. This can lead to imprecise or inconsistent results in relation to the real world. This paper presents a methodology for adjusting the parameters of these models...
Wireless Sensor Networks (WSNs) are commonly employed for environmental and wildlife monitoring. In these scenarios, mobile robots with specialized sensing, processing and actuation abilities may be employed to investigate relevant events in place. However, driving the robot to the event place is not a trivial task in the typical case where sensor nodes do not have positioning sensors such as GPS...
Anurans (frogs or toads) are commonly used by biologists as early indicators of ecological stress. The reason is that anurans are closely related to the ecosystem. Although several sources of data may be used for monitoring these animals, anuran calls lead to a non-intrusive data acquisition strategy. Moreover, wireless sensor networks (WSNs) may be used for such a task, resulting in more accurate...
Wireless Sensor Networks consist of a powerful technology for monitoring the physical world. Particularly, in-network data fusion techniques are very important to applications such as target classification and tracking to reduce the communication burden in these constrained networks. However, the efficiency of the solution can be affected by the data correlation among several sensor nodes. Thus, the...
Wireless sensor networks (WSNs) have a great potential to serve as a monitoring tool for several applications. In particular, environmental monitoring is a leading flag for WSNs, which can provide significant environmental data for Ecology applications. More specifically, rainforests face several ecological challenges. In this case, WSNs may be used as a supporting tool for preserving and conserving...
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