Algorithm 1 Particle Swarm Optimization (PSO) Algorithm.

Input:

Maximum number of iterations ($MaxIt$).

Population size ($PopSize$).

Lower and upper bound variables ($va{r}_{min},va{r}_{max}$).

Output:

Best value of all particles ($GlobalBestrssi$).

1:for i=1:$PopSize$ do 2:    $V_i=0$ 3:    $po{s}_i=rand(va{r}_{min},va{r}_{max})$ 4:    $rss{i}_i=pathloss\left(po{s}_i\right)$ 5:    $Bestpo{s}_i=po{s}_i$ 6:    if $Bestrss{i}_i<GlobalBestrssi$ then 7:        $GlobalBestrssi=Bestrss{i}_i$ 8:    end if 9:end for 10:for t=1:$MaxIt$ do 11:    for i=1:$PopSize$ do 12:        $V_i\left(t\right)=W\ast V_i\left(t\right)+r1\ast c1\ast (Bestpo{s}_i\left(t\right)-Lo{c}_i\left(t\right))+r2\ast c2\ast (GlobalBestpos\left(t\right)-po{s}_i\left(t\right))$ 13:        $po{s}_i\left(t\right)=po{s}_i\left(t\right)+V_i\left(t\right))$ 14:        $rss{i}_i=pathloss\left(po{s}_i\right)$ 15:        if $rss{i}_i<Bestrss{i}_i$ then 16:           $Bestpo{s}_i\left(t\right)=po{s}_i\left(t\right)$ 17:           $Bestrss{i}_i=rss{i}_i$ 18:           if $Bestrssi<GlobalBestrssi$ then 19:               $GlobalBestrssi=Bestrss{i}_i$ 20:           end if 21:        end if 22:    end for 23:end for