Energy balancing routing algorithm based on HGACA in WSNs

Wireless sensor networks have limited bandwidth and battery energy, energy of nodes mainly consume in the data processing and data routing, the lifetime of a network is determined by the lifetime of these nodes. So, we must given a more efficient routing algorithm to prolong the lifetime of entire network. In this paper, we proposed an efficient energy balancing routing algorithm based on a hybrid of genetic and ant colony algorithm, make full use of rapid and global convergence feature of genetic algorithm to produces initialization pheromone distribution, then use ant colony algorithm positive feedback and solving efficiency, for scheduling the data gathering and routing forwarding data of relay nodes. The simulation results show that our proposal method can rapidly convergence and balance of each node energy consumption, significantly extend the lifetime of a network.