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