Abstract
Acoustic sensing can be done by deploying a wireless sensor network in the area of interest. To detect anthrophonic events such as, deforestation along with monitoring the vehicle movement on the muddy road for smuggling intension. In the present time, anthrophonic event classification on the basis of wireless acoustic sensor node remain unanswered. This work explores speedy improvement in wireless acoustic sensor node that classify acoustic event applications. Wireless acoustic sensor node deployment strategy in outside surroundings is proposed. Most of the studies on sensor network in term of deployment consider on flat surfaces. The deployment of wireless sensor network in unequal surface like a forest was rarely reported. The aim is to maximize the quality of coverage of a wireless sensor on a forest surface. A probabilistic sensing model and line of sight algorithm are utilized for this purpose.
Highlights
It is known that sensor nodes can perform- simple calculation on the acquired signal, detection of the event and communication of its class with neighboring nodes
An innovative Deforestation and Trade monitoring paradigm (DTMP) with mathematically represent problem is under study
The coordinates taken in the mathematical range of (-3, 3) for X and Y coordinates and the interval selected between sensor nodes is 0.2069, the Z coordinate value is measured according to X, Y coordinates
Summary
It is known that sensor nodes can perform- simple calculation on the acquired signal, detection of the event and communication of its class with neighboring nodes. The group of such nodes is made up of a wireless sensor network. The deployment of wireless sensor network in outdoor environment helps to detect forest events such as fire, deforestation as well as monitoring of the vehicle movement on the muddy road. To set the priority of event and classify the event to more sparsely covered areas These relay nodes are selected to ensure a backbone of network connection and cannot be moved throughout the re-deployment process. The second portion of the paper is organized the radio coverage by using 3D modelling
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