A Privacy-Preserving Traffic Monitoring Scheme via Vehicular Crowdsourcing

. 2019 Mar 13;19(6):1274. doi: 10.3390/s19061274

Algorithm 1: Recover the aggregated report.

Input:

M_{1}, M_{2}

, and

\vec{a}

Output:

{L_{i}}_{i = 1}^{M}

and

{L S_{i}}_{i = 1}^{M}

1 Set

L_{M} = \sum_{i = 1}^{M} \sum_{j = 1}^{N} a_{i} A_{i} (j) \mod n^{2}, LS = \sum_{i = 1}^{M} \sum_{j = 1}^{N} a_{i} S_{i} (j) \mod n^{2}

;
2 for

i = M, M - 1, \dots 2

L_{1} = \frac{L_{1}}{a_{1}};

L S_{1} = \frac{{LS}_{1}}{a_{1}};

6 return

{L_{i}, L S_{i}}_{i = 1}^{M}