An Approach for Networking of Wireless Sensors and Embedded Systems Applied for Monitoring of Environment Data
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The aim of this research is to provide an approach for extension of the capacities of wireless sensor network (WSN) by enabling possibilities of monitoring of sea environment parameters. This domain area is related with control of recognition process of the hydro meteorological situations by providing the proper structure of the decision support system (DSS), which can work under specific real-time conditions. The construction issues of such multilayered buoy’s infrastructure based on WSN causes some problems: mechanisms of such interconnected devices have to work by properly presented goals and in extreme weather conditions; the modern embedded systems requires the intellectualization possibilities with recognition of adequate evaluation of risky situations; the functionality of WSN has to be based on the technology of the Internet of Things (IoT) with quite limited capacities. Our main findings concern the proposed architectural solution with extended capacities of integrated embedded systems and other gathering sources, by enabling the assessing of water pollution situations. The originality of the proposed approach concerns the issues of network allocation, system resource allocation and the architectural solutions, enabling wireless channels to provide big streams of data. The experimental results show the possibilities of the proposed prototype of multilayer system to work under real conditions of sea with interconnected network of sensors and controllers, based on the principles of other standardized network layers. The prototype method is used for evaluation of functionality of the embedded systems and WSN. The provided experimental results show functional effectiveness of collection and gathering of data under restricted and limited capacities of the embedded systems for operative control needs.
KeywordsWireless sensor network (WSN) Decision support system (DSS) Internet of things (IoT) Embedded systems Monitoring data Sea water environment data
Authors would like to express their gratitude to the Marine Research Institute and the Department of Marine Engineering of the Faculty of Marine Engineering and Natural Sciences of Klaipeda University for the supported conditions for experimenting with the system of distant buoys in the Baltic Sea.
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