WSN nodes deployment based on artificial fish school algorithm for Traffic Monitoring System

To deal with the optimizing deployment problem of sensor network nodes for Traffic Monitoring System, we use a comprehensive evaluation function to evaluate the performance of the sensor network nodes deployment, and develop a optimization model which take some factors into account, such as the scope of monitoring, communication range etc. The optimization program based on artificial fish school algorithm is proposed to solve this problem. In the simulation experiment, we use a simplified road grid map, and the results show that compared with initial manual deployment, artificial fish school algorithm improved the nodes deployment of wireless sensor network for Traffic Monitoring System.