Wireless Sensor Network Localization Techniques
2018-2019 Wireless Sensor Networks Projects for ECE
When a sensor node or a router runs out of power, it will disconnect from the WSN and negatively impact the application. Wireless Sensor Network Localization Techniques In order to extend the network lifetime, energy conservation techniques must be used. Solar panels are the most popular solution for recharging the batteries of WSN components.Another approach to save energy is a technique called sleeping, which allows nodes, routers, and gateways to sleep during their idle time Range-free 3D node localization in anisotropic wireless sensornetworks,Weighted Centroid Localization Algorithm,Accurate Nodes Localization,anchor-based sensor localization,weighted centroid algorithm matlab code,range free localization method,range free localization for wireless sensor networks,Node Localization in Wireless sensor Networks,node localization in wsn,Node localization in wireless networks,centroid localization,centroid localization algorithm,Range-free localization,range free localization algorithm,range free localization algorithm matlab code,weighted centroid localization matlab code,range free localization matlab code2018-2019 Wireless Sensor Networks Projects for CSE
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Range-free 3D node localization in anisotropic wireless sensornetworks
2019 Wireless Sensor Networks Projects for Final Year
Abstract
Abstract— WIRELESS SENSOR NETWORK LOCALIZATION TECHNIQUES In this paper, we propose two computationally efficient ‘range-free’ 3D node localization schemes usingthe application of hybrid-particle swarm optimization (HPSO) and biogeography based optimization(BBO). It is considered that nodes are deployed with constraints over three layer boundaries, in ananisotropic environment. The anchor nodes are randomly distributed over the top layer only and tar-get nodes distributed over the middle and bottom layers. Radio irregularity factor, i.e., an anisotropicproperty of propagation media and heterogenous properties of the devices are considered. To overcomethe non-linearity between received signal strength (RSS) and distance, edge weights between each targetnode and neighboring anchor nodes have been considered to compute the location of the target node.These edge weights are modeled using fuzzy logic system (FLS) to reduce the computational complexity.The edge weights are further optimized by HPSO and BBO separately to minimize the location error. Boththe proposed applications of the two algorithms are compared with the earlier proposed range-free algo-rithms in literature, i.e., the simple centroid method and weighted centroid method. The results of ourproposed applications of the two algorithms are better as compared to centroid and weighted centroidmethods in terms of error and scalability.
Range-free 3D node localization in anisotropic wireless sensornetworks pdf
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