The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
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...
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...
The advent of the Internet of Things (IoT), with modern sensors and sensor-based devices, will significantly stimulate the development of context-aware applications. An effective means to extract higher-level contextual information from sensor data is distributed complex event processing (CEP), which facilitates the analysis of real-time data streams coming from heterogeneous and distributed sources...
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...
In order to find energy saving potentials, future home energy recommender systems needs a large database of historic energy consumption information from various appliances. Having reference data, those systems could decide whether an appliance is wasting energy or not. However, the collection of this reference data degrades the user privacy as energy traces contain sensitive information which allows...
Emergency response is a critical mission. In an emergency situation, coordination and information dissemination are two of the most important tasks. The rise of the smart mobile devices leads to the tendency to use these devices to facilitate the aforementioned tasks. Despite of that, communication based on mobile devices in an emergency situation is not always straight forward since parts of the...
In the recent years, smart home projects started to gain great attention from academic as well as industrial communities. However, an essential challenge that all smart home ideas face is the provision of the ground truth i.e. the labeled training data required to train the machine learning algorithms which achieve the smartness of the smart home. Another challenging task is to evaluate the correctness...
Cloud computing has evolved in the recent years to a well established computing paradigm. With this evolution, the complexity and requirements for monitoring cloud-based services have also increased. Without a doubt, monitoring for cloud computing is a crucial task which has been addressed in a number of research works. However, monitoring for cloud computing is often designed to be carried out by...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.