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In many applications of industrial wireless sensor networks, sensor nodes need to determine their own geographic position coordinates so that the collected data can be ascribed to the location from where it were gathered. We propose a novel intelligent localization algorithm that uses variable range beacon signals generated by varying the transmission power of beacon nodes. The algorithm does not...
RSSI gives an initial rough measure of the inter node distances at low cost without the need of additional equipment or complexity. This necessitates the need for a mechanism to obtain accurate node locations from the noisy distance estimates. Manifold learning techniques can be used for estimating locations, but their ability to localize node in the sensor network environment has not been benchmarked...
In a randomly deployed wireless sensor network, sensor nodes must determine their own geographic position coordinates so that the collected data can be ascribed to the location from where it was gathered. We propose a localization algorithm which uses variable range beacon signals generated by varying the transmission power of beacon nodes. The algorithm does not use any additional hardware resources...
Recent years, directional antenna has been extensively used in designing protocols for wireless sensor networks. It provides many advantages over classical omni-directional antenna, such as increased spatial reuse ratio and reduced energy consumption. In wireless sensor networks, location estimation is necessary for sensor nodes to provide meaningful information about their surrounding environment...
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