This paper presents a development procedure of a testbed platform for measuring and evaluating photovoltaic cells within an indoor environment.Methodologies and components required to develop a testbed capable of replicating different indoor environment effects are proposed. A signaling outline is provided in addition to an automated plan for measurement, data acquisition and storage. Three methods of light intensity adjustment are suggested and the effect of each one on the light spectrum is analyzed. Finally, some real collected data from different measurements done in the testbed platform are presented.

This paper provides a description and analysis of research in material handling systems in regard to energyharvesting, ultra-low-power devices. Particular attention is paid to the inBin smart device, energy-harvesting, and the performance availability of material handling systems. A detailed description of the hardware platform, architecture and testbed is provided and an approach to model systems with a large number of devices is presented. Within the proposed model, two scenarios are simulated and their implications for the architecture of future materials handling systems are discussed.

Abstract-Future warehouses will be made of modular embedded entities with communication ability and energy aware operation attached to the traditional materials handling and warehousing objects. This advancement is mainly to fulfill the flexibility and scalability needs of the emerging warehouses. However, it leads to a new layer of complexity during development and evaluation of such systems due to the multidisciplinarity in logistics, embedded systems, and wireless communications. Although each discipline provides theoretical approaches and simulations for these tasks, many issues are often discovered in a real deployment of the full system. In this paper we introduce PhyNetLab as a real scale warehouse testbed made of cyber physical objects (PhyNodes) developed for this type of application. The presented platform provides a possibility to check the industrial requirement of an IoT-based warehouse in addition to the typical wireless sensor networks tests. We describe the hardware and software components of the nodes in addition to the overall structure of the testbed. Finally, we will demonstrate the advantages of the testbed by evaluating the performance of the ETSI compliant radio channel access procedure for an IoT warehouse.

This paper presents a gray box model of a photovoltaic (PV) cell working under low illuminance artificial indoor lighting conditions. A mathematical model of PV cells with single and two diode configuration is used. Additionally a platform for the measurement of the PV cells within the indoor environment is presented. An optimization problem is formulated to tune the internal parameters of the mathematical models according to the collected data from measurement platform. Fluorescent and halogen lights are used as two common indoor lighting sources.The fine-tuned mathematical model with calculated parameters is implied to evaluate the performance of the gray box model compared to the measured data.Finally, to avoid using multiple models for different environmental conditions, regression techniques are used to generalize the model only based on the irradiance.

No abstract