Research on Application of ant Colony Algorithm in WSNs

Abstract

The wireless sensor network nodes monitor the environment, collect data, process the data and transmit it back to the platform for analysis through a self-organising network format, which has a very high application value. Due to the limited energy of the sensor nodes, energy replenishment and power replacement are not possible. In order to reduce the energy consumption and balance the node energy in the wireless sensor network, this paper introduces the ant colony algorithm in the wireless sensor network and proposes an improved ant colony algorithm. It also improves the wireless sensor network based on the ant colony algorithm by optimising the heuristic factor, optimising the pheromone update strategy, adjusting the pheromone volatility coefficient and improving the path search direction. It has certain advantages in terms of low energy consumption and long survival period. It can also provide a theoretical basis for the application of other algorithms in wireless sensor networks.