A New RSSI-based Centroid Localization Algorithm by Use of Virtual Reference Tags

A good design of node location is critical for efficient and effective wireless communications. This paper presents an improved algorithm, in order to solve the low localization accuracy caused by traditional centroid algorithm. The improved algorithm combined with VIRE system and traditional centroid algorithm. The VIRE algorithm is introduced and the signal propagation model is utilized to construct virtual reference tags in the location area. Simulation shows that this further developed algorithm has further improved the accuracy of positioning up to 35.12% compared to the traditional centroid algorithm. It is concluded that this algorithm can further improve the locating accuracy in comparison with the original centroid algorithm

Wireless Sensor Node Localization based on LNSM and Hybrid TLBO- Unilateral technique for Outdoor Location

The paper aims at localization of the anchor node(fixed node) by pursuit nodes (movable node) in outdoor location.Two methods are studied for node localization. The first methodis based on LNSM (Log Normal Shadowing Model) technique tolocalize the anchor node and the second method is based on Hy-brid TLBO (Teacher Learning Based Optimization Algorithm)-Unilateral technique. In the first approach the ZigBee protocolhas been used to localize the node, which uses RSSI (ReceivedSignal Strength Indicator) values in dBm. LNSM technique isimplemented in the self-designed hardware node and localizationis studied for Outdoor location. The statistical analysis usingRMSE (root mean square error) for outdoor location is done anddistance error found to be 35 mtrs. The same outdoor locationhas been used and statistical analysis is done for localizationof nodes using Hybrid TLBO-Unilateral technique. The Hybrid-TLBO Unilateral technique significantly localizes anchor nodewith distance error of 0.7 mtrs. The RSSI values obtained arenormally distributed and standard deviation in RSSI value isobserved as 1.01 for outdoor location. The node becomes 100%discoverable after using hybrid TLBO- Unilateral technique

Indoor localization method based on RTT and AOA using coordinates clustering

International audienc

Indoor localization method based on RTT and AOA using coordinates clustering

International audienceno abstrac