The study of wireless sensor networks coverage scheme based on optimized artificial fish swarm algorithm

For dangers cargo warehouses, the demand of security and stability is increasing. Wireless sensor networks (WSN), which place great demands on energy control, have been applied to the safety monitoring systems in dangerous cargo warehouses. This paper studies on the points coverage scheme in cotton warehouses. Based on the model of probabilistic detection, we introduce the energy impact factor. And combined with the application background, based on the Artificial Fish Swarm Algorithm (AFSA), we propose an Optimized Artificial Fish Swarm Algorithm (OAFSA) which has the ability to eliminate the adverse factors and has the adaptive Visual. In the situation of redundant deployment, the algorithm is used to obtain an optimal working set that ensures the coverage ratio, reduces the number of working nodes and ensures energy balance. The simulation results show that: the OAFSA can use fewer nodes to cover the target points, so the working consumption measure is reduced by 22.35%; the network energy tends to balance, which extends the network lifetime; the OAFSA has the higher iterative efficiency and better global search capability than AFSA. 1553-9105/Copyright © 2014 Binary Information Press