  Instead of treating inventory items as static resources, future intelligent
warehouses will transcend containers to Cyber Physical Systems (CPS) that
actively and autonomously participate in the optimization of the logistical
processes. Consequently, new challenges that are system-immanent for the
massive Internet of Things (IoT) context, such as channel access in a shared
communication medium, have to be addressed. In this paper, we present a
multi-methodological system model that brings together testbed experiments for
measuring real hardware properties and simulative evaluations for large-scale
considerations. As an example case study, we will particularly focus on
parametrization of the 802.15.4-based radio communication system, which has to
be energy-efficient due to scarce amount of harvested energy, but avoid
latencies for the maintenance of scalability of the overlaying warehouse
system. The results show, that a modification of the initial backoff time can
lead to both, energy and time savings in the order of 50% compared to the
standard.
