A Lightweight Intelligent Intrusion Detection Model for Wireless Sensor Networks

Algorithm 1

Pseudocode of PM-CSCA.

 Initialize the parameters related to the algorithm: ub, lb, Dim, max_iter, ;

 Generate initial population X containing N individual ;

 Divide X into three subpopulations X1, X2, X3;

 Realize the mutation of three subpopulations by using equations (11)–(13), respectively;

 Evaluate each individual by the objective function;

 Greedy selection: select N individuals from X, X1, X2 and X3 using greedy strategy, and get new population ;

 Do

  Update SCA parameter: ;

  Get y₁ from PV by equations (5)–(8);

  Update the y₁ by SCA to get y₂;

  Evaluate y₁ and y₂ by the objective function to get [winner, loser];

  for i = 1:Dim

   Update PV via by equations (9) and (10);

   if

    Update the best solution obtained so far;

  end

 while () or (get the expected function value);

 Return the best solution obtained so far as the global optimum;