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Similar to how the smartphone and Internet have significantly changed our daily lives, artificial intelligence (AI) applications have started to profoundly affect our everyday lives as well. Two major products of this relatively recent trend are virtual assistants and home robots. They have similar functional characteristics: both interact with users through conversational agents and attempt to imitate...
Crowd sensing exploits users' smart devices and human mobility to collect information on a large scale. To realize a crowd sensing campaign, sensing tasks with spatio-temporal requirements are distributed to the devices that can provide the requested information. Typically, the distribution of sensing tasks relies on a centralized communication infrastructure such as cloud servers. However, such an...
Unmanned ground vehicles (UGVs) and unmanned aerial vehicles (UAVs) are promising assets to support rescue operations in natural or man-made disasters. Most UGVs and UAVs deployed in the field today depend on human operators and reliable network connections to the vehicles. However, network connections in challenged environments are often lost, thus control can no longer be exercised. In this paper,...
In disaster situations, the coordination of rescue missions is a difficult task. The person in charge makes decisions under pressure, which could lead to inappropriate instructions to rescuers and could cost many lives. The aim of DisVis 2.0 approach is to release pressure from those responsible by providing decision support using predictive human-centric disaster simulations for infrastructure-less...
Reliable communications are crucial for the success of emergency response and management. However, today's technologies used by rescuers and civilians mainly rely on either centralized or specialized emergency approaches, which reveal individual issues especially in infrastructure- less emergency situations (e.g., blackout). In this paper, we present a customary home router upgraded as self- sustaining...
Mobile Cloud Computing (MCC) leverages resourceful data centers that are distant (aka the cloud) or closely located (aka edge servers) for computational offloading to overcome resource limitations of modern mobile systems like smartphones or IoT devices. Many research works investigate context-aware offloading decision algorithms aiming to find the best offloading system at runtime. However, all approaches...
Anticipatory mobile computing is an emerging research field in pervasive environments. However, building multiple anticipatory applications to proactively support a user on his behalf still involves a disproportionate effort through their interdisciplinary nature and individual complex development from scratch. In this paper, we present architectural concepts and a reference implementation of a distributed...
In-network processing pushes computational capabilities closer to the edge of the network, enabling new kinds of location-aware, real-time applications, while preserving bandwidth in the core network. This is done by offloading computations to more powerful or energy-efficient surrogates that are opportunistically available at the network edge. In mobile and heterogeneous usage contexts, the question...
In disaster situations or on emergency terrains, Internet and Cloud access may be restricted; it may still be important to process complex resource-intensive tasks and to acquire distributed information for emergency response, using ad-hoc networks among, e.g., first responder mobile devices. Corresponding approaches towards coordination, resource utilization, and interoperability are still challenging...
Crowd sensing is an emerging paradigm that utilizes the power of the smart devices within the crowd to collect information. In general, the collected information is aggregated in a cloud server for further analysis. Such centralized analysis model can be at disadvantage in several cases. For instance, in emergency response, where the communication infrastructure is unstable while the results of data...
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