Investigation on ant-colony based routing algorithm for wireless sensor networks

Ant colony algorithm (ACA) is a new kind of meta-heuristic algorithm for solving combinatorial optimization problems or continuous function optimization problems, and it borrows the mechanism of ant colony´s forage, and every ant is looked for as an agent. The characteristic of parallel, positive feedback and robust is strongly showed during ant colony´s forage, ACA also has these characteristics. ACA happen to applies in the way choice aspect superiority in the wireless sensor network the source pitch point to the goal pitch point most superior way establishment.