An energy balance routing in wireless sensor networks by intelligent ant colony optimization

The characteristics of energy limitation of wireless sensor networks were considered. An idea of energy balance routing was proposed that communication energy losses of routing, rest energy of communication sensors and sensor load should be considered from various aspects to save energy and prolong the lifetime of the whole networks an intelligent ant colony optimization algorithm was proposed in order to solute the energy balance routing. The notion of the algorithm is that, the current route pheromone will be strengthened, on the contrary, will be weaken, and at the same time the best route is replaced by the current one if the current route is superior to the best one obtained before. The validity of the algorithm was proved by the experimental results.