A Data Collection Method for Mobile Wireless Sensor Networks Based on Improved Dragonfly Algorithm

Algorithm 1

Pseudocode of path planning of mobile Sink with the IDA.

(1)	Step 1: Initialization of the data collection strategy, the randomly generated population size is the initial population.
(2)	Step 2: Calculate the fitness value f(i) of each dragonfly.
(3)	Step 3: Update the parameters, including the search radius.
(4)	Step 4: Calculate the step vector, and update the position of the dragonfly.
(5)	Step 5: Substitute the updated position of each dragonfly into the fitness function to obtain a new fitness value.
(6)	Step 6: perform the reverse learning operation, select the individual who enters the next generation.
(7)	Step 7: Compare the fitness value of the individual with the optimal value ffood and the worst value fenemy.
(8)	Step 8: Determine whether the conditions for terminating the iteration are met. If it is met, exit the loop, otherwise go to Step 3.
(9)	Step 9: Output the optimal planning path.