This paper considers the vast development in the technology of sensor such as embedded system, Global Positioning System (GPS) wireless communications and wireless sensor applications. In recent years an ef icient design of a Wireless Sensor Network has become a leading area of research for semi-ballistic Unmanned Aerial Vehicle (UAV). A network of sensor is a device that responds and detects some type of input from both the physical or environmental conditions, such as pressure, heat, light, etc. The output of the sensor is generally an electrical conditions that is transmitted to controller for further processing. Wireless sensor network has been widely used and its design has become an important ield of control engineering in addition to providing real-time communication system in surveillance, tracking, and monitoring applications. In this paper, development of wireless sensor network for targeting and control system of a semi-ballistic UAV for rapid and precise search and rescue operations is being presented and discussed. The developed system is composed of two sections: Air Section and Ground Section. The Air Section consists of Magnetic Compass Sensor, Micro-Electro-Mechanical Sensors (MEMs), GPS, Camera, Servo Motor and Parachute Controllers and the latter is consist of Video Recording, Receiver and Monitoring. The system will helps in locating the exact location at centralized level. In effect, it increases the response ef iciency. Furthermore, this system helps in controlling and protecting naval, ground and arm forces in any location for the search and rescue operations. The wireless sensor network system is capable of collecting, storing and analyzing data from several devices embedded in the vehicle. Results show that the multi-sensor fusion and integration plays a critical role in the overall design and performance enhancement of the semi-ballistic unmanned aerial vehicle being developed.
Background/Objectives: This paper think about the huge advancement in the innovation of sensor of remote interchanges and remote sensor applications. The created framework that identify and passes on the impacts blast area that will push the power to reaction right away. Methods/Statistical analysis: In this paper, improvement of remote sensor arrange (think about the three sensors) were painstakingly put in an area to effectively assemble information. The information accumulated from these three sensors were fed to artificial neural network (ANN) for preparing. The remote sensor arrange framework is equipped for gathering, putting away and breaking down information from a few devices installed in the framework and the preparation the framework to recognize the impacts blast. Findings: Results show that the multi-sensor combination and coordination assumes a basic job in the general plan and execution upgrade of explosion locator being created. Improvements/Applications: The fit is about perfect for train, looking at and traverse 0.9999 the entire reaction of precision by means of percent error with the most extreme 0.067731 has been accomplished.
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