Energy Aware, Two-staged Localization Concept for Dynamic Indoor Environments

Location based services (LBS), in the context of Industry 4.0 and Internet of Things (IoT), provide new possibilities to optimize many processes in industry. Logistics on a construction site, for example, can be optimized by finding the most efficient route, to ensure on the point deliveries and further tracking of delivered goods. Although a key factor for their appliance is a tight cost-value ratio. Therefore localization systems need to conciliate constraints from the application-specific and the system's inherent properties. The availability of electrical power, the network density, the lifetime of the localization system and its accuracy represent an example of conditioned constraints, especially in dynamic environments with no fixed infrastructure. In this paper, we present an energy aware two-staged localization concept, considering power and cost constraints while preserving high position update rates and long system lifetimes. For this purpose a low power wireless sensor network is combined with a high update rate wireless sensor network. As the key contribution of this paper achievable accuracies in such an two staged localization system are evaluated.