Abstract-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 method is based on LNSM (Log Normal Shadowing Model) technique to localize the anchor node and the second method is based on Hybrid TLBO (Teacher Learning Based Optimization Algorithm)-Unilateral technique. In the first approach the ZigBee protocol has been used to localize the node, which uses RSSI (Received Signal Strength Indicator) values in dBm. LNSM technique is implemented in the self-designed hardware node and localization is studied for Outdoor location. The statistical analysis using RMSE (root mean square error) for outdoor location is done and distance error found to be 35 mtrs. The same outdoor location has been used and statistical analysis is done for localization of nodes using Hybrid TLBO-Unilateral technique. The Hybrid-TLBO Unilateral technique significantly localizes anchor node with distance error of 0.7 mtrs. The RSSI values obtained are normally distributed and standard deviation in RSSI value is observed as 1.01 for outdoor location. The node becomes 100% discoverable after using hybrid TLBO-Unilateral technique.
A Wireless Personal Area Network (WPAN) monitoring system is proposed to measure the voltage and current generated for wind mill farm, it is considered as a target application. It has a Rig id hub structure, economical larger capacity i.e. 5-7 MW fo r offshore sitting and variable speed turbines are three major develop ments characterize in a wind mach ines. The forth development is the adoption of gearless wind turbine eliminating gearbo xes as weakest link in the chain of modern wind turb ines. Eliminating the burdens associated with cabling, the proposed wireless network enables sensors to place on the each individual mill to monitor voltage and current so that we can optimize wind farm productivity. The proposed system consist of ZigBee based wireless personal area network i.e. co mmunication through ZigBee transceiver module, coding of microcontroller through AVR Studio4, and interfacing all with wind mill. The data from the wind-power generator will be collected with the help of proposed system and wired RS-232 Interface. The collected data will be displayed with the help of suitable GUI in MATLA B.
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