  Due to the lack of wireless spectrum resources, people are focusing on the
versatile wireless networks. Wireless localization and target sensing both rely
on precise extraction of parameters such as signal amplitude, propagation delay
and Doppler shift from the received signals. Due to the high multi-path
resolution and strong penetration of UWB signals, both localization and sensing
can be achieved through the same UWB waveform. Practical networks are often
resource-constrained, in order to improve the accuracy of integrated networks,
we need to optimize the allocation of resources in the networks. Considering
the complexity of the multi-slot networks, this paper derives the Fisher
Information Matrix (FIM) expressions for single-slot and dual-slot integrated
sensing and localization (ISAL) networks respectively, and proposes two
resource optimization schemes, namely step-by-step scheme and integrated
scheme. The numerical results show that: (i) for the sensing-resource-deficient
networks with relatively uniform node distribution, the energy allocated to
each step in the step-by-step scheme satisfies the relationship: energy for
clock offset < energy for radar localization < energy for target sensing. (ii)
In the multi-slot ISAL networks, the system will allocate more energy to the
time slots where the networks are relatively sensing-resource-deficient. (iii)
The step-by-step scheme is more suitable for the sensing-resource-abundant
networks, while the integrated scheme is more suitable for the
sensing-resource-deficient networks.
