Swarm behavior is collective behavior of creatures moving with their
neighbors, such as a flock of birds or a school of fishes. From the system
optimization standpoint of view, there have been a number of “bioinspired” models proposed to apply the swarm behavior to organize
complex systems and/or to incorporate robustness and flexibility. Territorial behavior is another group form of homogeneous individuals in
which each one lives in a separate region (territory) from each other. For
system optimization. The most notable application is coverage control.
There are some creatures which exhibit either swarm behavior and
territorial behavior according to their circumstances and conditions.
However, as far as we know, there is no attempt toward any model or
algorithm to combine both the swarm behavior and territorial behavior
to make systems adapt to the change of circumstances and conditions.
This paper proposes a phase transition model to combine swarm
behavior and territorial behavior. The model is expected to apply to
network optimization in dynamic environments, especially transition
between cloud computing and edge computing. Through simulation-based experiments, we verify the convergence behavior of the model.