Algorithm 1 Rebalancing strategy
1:	Initialize $i=0$, ${\mathcal{V}}^{\prime }=\left\{0\right\}$, $f(\mathcal{H},t)=0$, done $=0$
2:	Set parameters $\alpha ,\beta ,\gamma ,X$
3:	Set $\mathbf{S}(t)=[S_1(t,m_1^{(⌀)}),\cdots ,S_{\left|\mathcal{V}\right|}(t,m_{\left|\mathcal{V}\right||}^{(⌀)})]$		▹ Vector with survival times before rebalancing
4:	Set $\sigma ={min}_{w\in \mathcal{V}}\mathbf{S}\left(t\right)$		▹ Smallest survival time before rebalancing
5:	$\sigma =min\{\sigma ,\gamma \}$		▹ Set the survival time threshold
6:	Set ${\mathbf{S}}^{☆}\left(t\right)=[S_1^{☆}\left(t\right),\cdots ,S_{\left|\mathcal{V}\right|}^{☆}\left(t\right)]$	▹ Vector with optimal survival times for each station $v\in \mathcal{V}$
7:	while ($i<V$) and (done $==0$) do	▹ Until there are nodes to visit that can improve the net reward
8:	$i\leftarrow i+1$
9:	$v\left(i\right)\leftarrow {argmin}_{w\in \mathcal{V}\backslash {\mathcal{V}}^{\prime }}\mathbf{S}\left(t\right)$	▹ Choose unvisited node with smallest survival time
10:	${[\mathbf{S}\left(t\right)]}_{v\left(i\right)}\leftarrow {[{\mathbf{S}}^{☆}]}_{v\left(i\right)}\left(t\right)$		▹ Update survival time of node $v\left(i\right)$
11:	$\mathrm{reward}\leftarrow min\{min\mathbf{S}(t),\gamma \}-\sigma$		▹ Update reward
12:	Determine rebalancing path $\mathcal{F}$ over ${\mathcal{V}}^{\prime }\cup v\left(i\right)$
13:	$D\leftarrow$ compute path length of $\mathcal{F}$		▹ Compute distance to cover for rebalancing
14:	$\cos \mathrm{t}\leftarrow \alpha X+\beta D$		▹ Update cost
15:	if (reward − cost) $>f(\mathcal{H},t)$ then	▹ It is worth to include node $v\left(i\right)$ in the rebalancing
16:	${\mathcal{V}}^{\prime }\leftarrow {\mathcal{V}}^{\prime }\cup v\left(i\right)$
17:	$f(\mathcal{H},t)\leftarrow$ reward − cost
18:	if ${min}_{w\in {\mathcal{V}}^{\prime }}\{{[{\mathbf{S}}^{☆}\left(t\right)]}_w\}<{min}_{w\in \mathcal{V}\backslash {\mathcal{V}}^{\prime }}\left\{{\left[\mathbf{S}\left(t\right)\right]}_w\right\}$ then
19:	done $\leftarrow 1$	▹ The optimization function $f(\mathcal{H},t)$ can no longer be increased