Evolutionary energy balanced ant colony algorithm based on WSNs

A novel wireless sensor network routing algorithm based on ant colony principle and evolutionary energy balanced was proposed in this paper. The new algorithm added the factor of energy in the procedure that ants had been searching the optimum route. We used the energy of mechanical vibration act as the sensor nodes source, the finite state transition was proposed to describe the behavior of the nodes, and subsequently the cluster header selection algorithm was devised, therefore, we combined with the advantages of genetic algorithm, evolutionary energy balanced ant colony algorithm based on WSNs was proposed. And the simulation of the algorithm, the energy consumption, delay, energy efficiency, network lifetime, the energy consumption of cluster header nodes and the relation between the node and distance of the sink are compared with EABR and IACAR algorithm. The experiment shows the new algorithm reduced energy consumption of cluster header. The results indicated that the novel method had the better energy efficiency and the more balanced energy consumption. Meanwhile, it prolonged the lifetime of the network.