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The Amazon Rainforest degradation is a worldwide concern. The rainforest has been endangered by the illegal wood extraction without control even in the preservation areas. Due to the large geography extension prevent these crimes with an unmanned aerial vehicle (UAV) is not always possible. The Wireless Acoustics Sensor Network (WASNs) technology can alleviate this problem. Here, we present an acoustical...
In this work, we propose a new Greedy Forward algorithm to perform routing and data aggregation in WSNs. Differently from current Greedy Forward algorithms, our approach takes advantage of a sink node capable of long-range communication and uses the RSSI (Received Signal Strength Indicator) of exchanged packets to aggregate and forward data. Based on this, we propose the GRDA (Greedy Routing and Data...
Natural sounds like wind, water, wildlife, and vegetation are considered acoustic sounds and are referred to as the sounds cape. Wildlife sounds usually provide enough data to classify and monitor the fauna. In this context, anurans (frogs and toads) have been used by biologists as early indicators of ecological stress in a given environment. Compressive sensing is a promising technique that can be...
Wildlife sounds provide relevant information for non-intrusive environmental monitoring when Wireless Sensor Networks (WSNs) are used. Thus, collecting such audio data, while maximizing the network lifetime, is a key challenge for WSNs. In this work, we propose a methodology that applies Compressive Sensing (CS) aiming at collecting as little data as possible to allow the signal reconstruction, so...
6LoWPAN opens a great opportunity for wireless sensor networks (WSNs) to be operated from the Internet. However, 6LoWPAN requires a gateway in order to make the use of IPv6 feasible inside the WSN. In this paper, a gateway is designed and constructed to interconnect 6LoWPAN wireless sensor networks with IPv6 clients, enabling them to receive sensor nodes readings or send commands to the 6LoWPAN WSN...
Wireless Sensor Networks (WSN) are often designed to detect events based on measurements provided by sensor nodes. In this work, we propose and evaluate two algorithms, based on information fusion methods, for fire detection in rainforests when we have only light and temperature sensors. The idea is to have acceptable detection methods even when we do not have (or cannot afford) other sensor units...
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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