  Future networks of unmanned aerial vehicles (UAVs) will be tasked to carry
out ever-increasing complex operations that are time-critical and that require
accurate localization performance (e.g., tracking the state of a malicious
user). Since there is the need to preserve low UAV complexity while tackling
the challenging goals of missions in effective ways, one key aspect is the UAV
intelligence (UAV-I). The UAV's intelligence includes the UAV's capability to
process information and to make decisions, e.g., to decide where to sense and
whether to delegate some tasks to other network entities. In this paper, we
provide an overview of possible solutions for the design of UAVs of low
complexity, showing some of the needs of the UAVs for running efficient
localization operations, performed either as a team or individually. Further,
we focus on different network configurations, which possibly include assistance
with edge computing. We also discuss open problems and future perspectives for
these settings.
