The advantage and defect of eachlocalization algorithm are comprehensively summarized. Then two relevant solutions arepresentedbasedon the analysisofdefects.Lacoste Polo Shirts which can reduce thealgorithm complexity and improve the localization precision. Meanwhile, the anchorinformation is attached with a weight which is inversely proportional to the hop countbetween unknown node and anchor node, because the distance measurement error is nike shox shoes becoming larger with the increasing of hop count. The weight can reduce the impact ofdistance measurement error. The second one is introducing the Metropolis selection of SAinto GA, which helps improve the cheap wedding gown dresses diversity of population and avoid GA running into local optimum solution. The improved optimization approach is called GSAfor short and it is usedfor localization in 12hot cheap prom dresses WSN. The simulation results reveal that GSAL(GSA Localization) is aneffective discount wedding dresses localization algorithm which uses fewer anchors, needs smaller transmission rangeof node, and is insensitive to measurement noise factor.So GSALnot only has a certain faulttolerance,butcanreducedeploymentexpenses.
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