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. 2022 Oct 28;22(21):8285. doi: 10.3390/s22218285

Algorithm 1: Calculating Trust value matrix

(T V_{m})

Input: Vehicle map: $(V_{n}, R_{s}), β, θ$
Output: $(T V_{m})$ for every $(V_{n})$
while $t \in T$ do
$T V_{M}$ :
Select $V_{n}^{'}$ from $V_{n}$
// $V_{n}^{'}$ collect data on $V_{n}$
// $V_{n}^{'}$ forward data to $R_{s}$
if $\sum_{n}^{N} V_{n} (T_{y} \geq A_{z})$ then
calculate $P D R (V_{n})$ by Equation (1)
end if
if $\sum_{n}^{N} V_{n} (λ_{i} \geq γ_{j})$ then
calculate $P D (V_{n})$ by Equation (2)
end if
for $V_{n}^{'} \in V_{n}$ do
update trust matrix $T V_{M} (V_{n})$ by Equation (3)
end for
end while