  Most network planning problems in literature consider metrics such as cost,
availability, and other technology-aware attributes. However, network operators
now face new challenges in designing their networks to minimize their
dependencies on manufacturers. A low dependency is associated with higher
network robustness in case one or more manufacturers fail due to erroneous
component design, geopolitical banning of manufacturers, or other reasons
discussed in this work. Our work discusses network sovereignty, i.e., the
ability to operate a network without dependencies on a particular manufacturer
while minimizing the impact of simultaneous manufacturer failure(s). Network
sovereignty is considered by solving the manufacturer assignment problem in the
network such that robustness is maximized. The three main contributions of this
work are (i) the discussion of network sovereignty as a special attribute of
dependability, (ii) the introduction of a novel metric -- the Path Set
Diversity (PSD) score to measure network sovereignty, and (iii) the
introduction of Naga, an ILP formulation to maximize network sovereignty using
the PSD score. We compare Naga's performance with centrality metrics-based
heuristics and an availability-based optimization. Our work aims to be the
foundation to guide network operators in increasing their network sovereignty.
