Joint Optimization of Interference and Cost in Cognitive Radio Heterogeneous Network Using Fuzzy Logic Powered Ants

<table class="table-group" id="tab5"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">Algorithm</td><td class="align_center">Convergence time (mille-sec)</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">PSO</td><td class="align_center">0.25</td></tr><tr><td class="align_left">FLACSA</td><td class="align_center">21</td></tr><tr><td class="align_left">ACSA</td><td class="align_center">25</td></tr><tr><td class="align_left">GA</td><td class="align_center">30</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Algorithms’ computational complexity considering convergence time.

Wireless Communications and Mobile Computing

tab5

Table 5

Table 5: Joint Optimization of Interference and Cost in Cognitive Radio Heterogeneous Network Using Fuzzy Logic Powered Ants 