Andreas Reinhardt

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Dynamic load management, i.e., allowing electricity utilities to remotely turn electric appliances in households on or off, represents a key element of the smart grid. Appliances should however only be disconnected from mains when no negative side effects, e.g., loss of data or thawing food, are incurred thereby. This motivates the use of appliance(More)
The presence of multimodal sensors on current mobile phones enables a broad range of novel mobile applications including, e.g., monitoring noise pollution or traffic and road conditions in urban environments. Data of unprecedented quantity and quality can be collected and reported by a possible user base of billions of mobile phone subscribers worldwide.(More)
Today's solutions to inform residents about their electricity consumption are mostly confined to displaying aggregate readings collected at meter level. A reliable identification of appliances that require disproportionate amounts of energy for their operation is generally unsupported by these systems, or at least requires significant manual configuration(More)
Many context-aware smartphone applications depend on specific conditions for gathering data, e.g., specific phone locations or orientations. As a result, the significant overhead of keeping all this information in mind is imposed on their users. Besides averting the interest of potential application users, these requirements defeat one of the main purposes(More)
In wireless sensor networks, energy is commonly a scarce resource, which should be used as sparingly as possible to allow for long node lifetimes. It is therefore mandatory to put a focus on the development of energy-efficient applications. In this paper, we analyze the achievable energy gains when packet payloads are compressed prior to their transmission.(More)
Smartphones have become ubiquitous in recent years and offer many useful services to their users, such as notifications about incoming calls and messages, or news updates in real-time. These notifications however do not consider the current user's and phone's context. As a result, they can disturb users in important meetings or remain unnoticed in noisy(More)
Wireless sensor networks (WSNs) are increasingly gaining impact in our day to day lives. They are finding a wide range of applications in various domains, including health-care, assisted and enhanced-living scenarios, industrial and production monitoring, control networks, and many other fields. In future, WSNs are expected to be integrated into the(More)
Most current home automation systems are confined to a timer-based control of light and heating in order to improve the user's comfort. Additionally, these systems can be used to achieve energy savings, e.g., by turning the appliances off during the user's absence. The configuration of such systems, however, represents a major hindrance to their widespread(More)
In tree-structured data collection sensor networks, packets are routed towards a sink node by iteratively choosing a node's immediate parent node as the next hop. It is however beyond the scope of these routing protocols to transfer messages along the reverse path, i.e., from the sink to individual nodes in the network. In this paper, we present CBFR, a(More)