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Home / programming language / NS2 / Reliable and Efficient Data Acquisition in Wireless Sensor Networks in the Presence of Transfaulty Nodes
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Ns2 Project - WSN, students projects
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Reliable and Efficient Data Acquisition in Wireless Sensor Networks in the Presence of Transfaulty Nodes

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SKU: PROJ7090 Categories: 2017 Projects, Final Year Projects, NS2, Wireless Sensor Networking Tags: Android Project, Asp.Net Project, C# Project, Computer Engineering Final Year Projects, Computer Science Final Year Projects, Electronics Projects Engineering Students Final Year, Engineering Student Project Ideas, Final Semester Projects, Final Year Project Center, Final Year Projects, ieee ECE Projects, ieee EEE Projects, ieee Final Year Projects, IEEE Projects, ieee Projects Networking, Image Processing Projects, J2EE Project, Java Project, Java Project Code, Matlab Project, PHP Project, Students Projects
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Reliable and Efficient Data Acquisition in Wireless Sensor Networks in the Presence of Transfaulty Nodes

Abstract— A collection of spatially distributed sensor nodes in a wireless sensor network (WSN) work collaboratively to sense the physical phenomena around them and then send the sensed information to the s ink node through single-hop or multihop paths. In this work, we propose a scheme, named ReDAST, for reliable and efficient data acquisition in a stationary WSN in the presence of transfaulty nodes. Due to the transfaulty behavior, a sensor node gets temporarily isolated from the network. Temporary node isolation leads t o t he formation of dynamic communication holes in the network, which form and disappear dynamically. Furthermore, they may increase or decrease in size dynamically as well. These effects result in loss of information in the radiation-affected area. To prevent information loss in WSN due to transfaulty behaviour of sensor nodes, in the proposed scheme, we construct the network using sensor nodes having dual m ode of communication—RF and acoustic. To get redundant coverage within a radiation affected area, all the sensor nodes in the area become activated and switch to the acoustic communication mode after detecting themselves to be affected by radiations. In-network data fusion is performed to get actual information from the redundant information received from the radiation-affected area.< final year projects >

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