Evolutionary Game Theory-Based Collaborative Sensing Model in Emergency CRAHNs

Algorithm 1

Adaptation algorithm at the spectrum coordinator (SC).

Step 𝟏: Initialize 𝑘=1, Set 𝑀

    𝑄_{𝑑_target} = 0.9,  𝑃_{𝑠_opt} = 1,

    𝑃_{𝑠_opt}_Learning_flag = 0, iter = 0

Step 𝟐: Get local decisions

   Fuse the received data to obtain global decisions

   Update 𝑃_𝑠𝑖, 𝑃_𝑑𝑖, 𝑃_𝑓𝑖

   Compute 𝑄_𝑑 for global decision iter = iter + 1

Step 𝟑: if (iter==𝑀)

      Compute reward for each SU

       Set iter = 1

      Compute 𝑄_{𝑑_av} (Average 𝑄_𝑑 over 𝑀 iters)

       If (𝑄_{𝑑_av}>𝑄_{𝑑_target}) & (𝑃_{𝑠_opt}_Learning_flag == 0)

        set 𝑃_{𝑠_opt}←mean (𝑃_𝑠𝑖) of all SUs;

        set 𝑃_{𝑠_opt}_Learning_flag = 1

      end

   end

Step 𝟒: iter←iter + 1

Step 𝟓: If Network Size changes set 𝑁_old←𝑁, 𝑃_{𝑠_opt}←𝑃_{𝑠_opt}  ∗𝑁_old/𝑁

Step 𝟔: If SNR changes set 𝑃_{𝑠_opt}_Learning_Flag ←0

   go to Step 𝟐