The Research Of Wireless Sensor Networks Routing Based On Improved Ant Colony Optimization Algorithm

With the continuous development of sensing technology, wireless communi cation technology and embedded technology matures, Wireless sensor networks gradually become a hot research in modern society. It has powerful perception, Self-organizing abilities, simple deployment characteristics. These characterist ics decided he has broad application prospects. But, under the conditions of ex isting energy technologies, wireless sensor networks node have limited energy a nd sensing node exists environmental conditions decided frequent replacement o f the power supply is unrealistic. Wireless sensor networks routing design not only considering the length of the path and quality of service(Qos), but also c onsidering the node’s energy level. Energy balance become a wireless sensor n etwork routing design goals.Based on the original Ant colony algorithm in wireless sensor network applications, the paper proposed several improvement strategies to reach wireless sensor networks’ energy balance. The first, the nodes energy levels as a transition probabilities factor. This make the node on the excellent path have long working times. The second, the nodes position as a transition probabilities factor. This make ants have directionality in search. There is some improvement in terms of reducing the search time and reducing system power consumption. The third, make full use of search failed ants’ path information. Reduce the pheromone content on the path to other ants looking for other excellent paths. The fourth, When an ant gets the next node reducing the pheromone content on the path. Preventing network traffic overmuch spread along on this path. Thus have a improvement on the networks’lifetime.At last have a simulation experiment on MATLAB platform. By comparing with ACO algorithm, we have a clear idea that improved strategies have a elevate on Wireless sensor networks’ energy balance.