Abstract: We propose a swarm intelligence optimization algorithm based on self-organization of the swarm intelligence optimization algorithm. We set up the routing, introduce the concept of system energy entropy and optimize it with simulation annealing. Simulation experiments show that the proposed algorithm has a fast convergence rate and global energy equilibrium, meeting the wireless sensor network requirements such as limited energy, selforganization, and data domination. It is better than the Directed Diffusion routing protocol, therefore can prolong the network's lifespan.

Key words: routing, simulation anneal
, swarm intelligence, WSN