Minimization of Energy Consumption for Routing in High-Density Wireless Sensor Networks Based on Adaptive Elite Ant Colony Optimization

<table class="table-group" id="tab5"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td class="align_left">Number of nodes</td><td class="align_center">PSO</td><td class="align_center">GA</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td class="align_left">30</td><td class="align_center">4.76%</td><td class="align_center">10.00%</td></tr><tr><td class="align_left">40</td><td class="align_center">20.54%</td><td class="align_center">30.75%</td></tr><tr><td class="align_left">50</td><td class="align_center">24.93%</td><td class="align_center">33.69%</td></tr><tr><td class="align_left">70</td><td class="align_center">39.71%</td><td class="align_center">48.70%</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Compared with the other 2 algorithms, the percentage of improvement in energy consumption is optimized by AEACO.</div>

Journal of Sensors

tab5

Table 5

Table 5: Minimization of Energy Consumption for Routing in High-Density Wireless Sensor Networks Based on Adaptive Elite Ant Colony Optimization 