  Public safety networks avail to disseminate information during emergency
situations through its dedicated servers. Public safety networks accommodate
public safety communication (PSC) applications to track the location of its
utilizers and enable to sustain transmissions even in the crucial scenarios.
Despite that, if the traditional setups responsible for PSCs are unavailable,
it becomes prodigiously arduous to handle any of the safety applications, which
may cause havoc in the society. Dependence on a secondary network may assist to
solve such an issue. But, the secondary networks should be facilely deployable
and must not cause exorbitant overheads in terms of cost and operation. For
this, LoRaWAN can be considered as an ideal solution as it provides low power
and long-range communication. However, an excessive utilization of the
secondary network may result in high depletion of its own resources and can
lead to a complete shutdown of services, which is a quandary at hand. As a
solution, this paper proposes a novel network model via a combination of
LoRaWAN and traditional public safety networks, and uses a self-enforcing
agreement based game theory for allocating resources efficiently amongst the
available servers. The proposed approach adopts memory and energy constraints
as agreements, which are satisfied through Nash equilibrium. The numerical
results show that the proposed approach is capable of efficiently allocating
the resources with sufficiently high gains for resource conservation, network
sustainability, resource restorations and probability to continue at the
present conditions even in the complete absence of traditional Access Points
(APs) compared with a baseline scenario with no failure of nodes.
