Crowdsensing Task Assignment Based on Particle Swarm Optimization in Cognitive Radio Networks

Algorithm 1

Overall procedure of proposed PSO-CTA.

  Input:

Objective function according to formula (6);

A local constraint ;

The number of mobile users ;

The number of locations ;

The number of channels in location ;

The number of sub-locations in location ;

The maximum cost ;

The maximal generation ;

  Output: The maximum sensing effect function and sensing task assignment

  Initialization:

  Randomly generate each particle;

  Optimization:

  () repeat

  () for each particle

  ()  Optimizing the crowdsensing task assignment of the particle;

  ()  Update the ;

  ()  Update the ;

  () end for

  () until stopping criterion is satisfied