Bio-inspired adaptive routing in self-organized networks: A survey

Since the study of collective behavior of social species can help humans manage complex systems, bio-inspired algorithms will consequently improve the routing performance in self-organized networks. A plethora of studies on adaptive routing in self-organized networks has already been carried out. In this paper, adaptive routing as one of important self-organization issues is surveyed. Several well-known bio-inspired adaptive routing algorithms, such as Ant Colony Optimization (ACO), AntNet, AntHocNet, BeeHive, Multiple Ant Colony Optimization (MACO), Multiple Ant-Bee Colony (MABC), as well as their merits and demerits are analyzed in detail. The remaining challenges to face in adaptive routing in the future are also discussed in this paper.