Sensor Network-Based Localization for Continuous Tracking Applications: Implementation and Performance Evaluation

<table>Localization of a still MN. Zoom shows that estimated positions are
concentrated in an area of almost 1 <svg height="16.049999" id="M11" style="vertical-align:-0.16379pt" version="1.1" viewbox="0 0 27.575001 16.049999" width="27.575001" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
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t-52 18.5v23q79 14 139 41v-81q3 2 29 20.5t44 29.5q45 28 81 28t66 -22t46 -61q25 20 83 57q39 26 76 26q59 0 93 -40t34 -113v-193q0 -49 10.5 -60.5t54.5 -16.5v-26z" id="x6D"></path></g>
<g transform="matrix(.012,-0,0,-.012,21.175,7.613)"><path d="M412 140l28 -9q0 -2 -35 -131h-373v23q112 112 161 170q59 70 92 127t33 115q0 63 -31 98t-86 35q-75 0 -137 -93l-22 20l57 81q55 59 135 59q69 0 118.5 -46.5t49.5 -122.5q0 -62 -29.5 -114t-102.5 -130l-141 -149h186q42 0 58.5 10.5t38.5 56.5z" id="x32"></path></g>
</svg>.
All measures are expressed in centimetres.</table>

Advances in Multimedia

fig12

Figure 12

Figure 12: Sensor Network-Based Localization for Continuous Tracking Applications: Implementation and Performance Evaluation 