Recovery and Resource Allocation Strategies to Maximize Mobile Network Survivability by Using Game Theories and Optimization Techniques

<table class="table-group" id="tab9"><tr><td><table class="table"><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr class="thead"><td align="left">Network topology</td><td align="center">NR1</td><td align="center">NR2</td><td align="center">NR3</td></tr><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr><td align="left">Grid</td><td align="center">1.8626</td><td align="center">1.8729</td><td align="center">1.8496</td></tr><tr><td align="left">Random</td><td align="center">1.8592</td><td align="center">1.873</td><td align="center">1.8525</td></tr><tr><td align="left">Scale-free</td><td align="center">1.8180</td><td align="center">1.8733</td><td align="center">1.8151</td></tr><tr class="table-tr"><td colspan="4"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

The experiment results in different kinds of node recovery policy.

Journal of Applied Mathematics

tab9

Table 9

Table 9: Recovery and Resource Allocation Strategies to Maximize Mobile Network Survivability by Using Game Theories and Optimization Techniques 