1,721,015 research outputs found
An Integration Gateway for Sensing Devices in Smart Environments
Full text linkSmart Environments, and in particular Smart Homes, have recently attracted the attention of many
researchers and industrial vendors. The proliferation of low-power sensing devices requires
integration gateways hiding the complexity of heterogeneous technologies. We propose a ZigBee
integration gateway to access and integrate low-power ZigBee devices
Collaborative Service Discovery in Mobile Social Networks
Full text linkMobile social networking is a recent paradigm arisen from the wide spread of mobile and wearable devices. Based on the short-range communication interfaces of these devices it is possible to establish opportunistic communications among them and build networks independent to the global one. Challenges introduced by this new type of networks are related to the sharing of resources and services and to the exploitation of the communication opportunities among devices. Limit of existing algorithms, that have sought to fill these shortages, is the lack of attention on the main actor of this service-oriented chain, the user. To this purpose, we introduce the COllaborative seRvice DIscovery ALgorithm (CORDIAL) that leverages both mobility and sociality of the users. We evaluate the performance of CORDIAL combined with different routing protocols for opportunistic networks, and we compare it with a benchmark algorithm (S-Flood) based on flooding and another service discovery algorithm designed to leverage mobile social network features, namely, ServIce DiscovEry in Mobile sociAl Networks (SIDEMAN). Our results show that the performance of CORDIAL remains stable with the different routing algorithms and that, in function of the query forwarding strategy triggered, CORDIAL matches the performance of S-Flood in terms of Query Response Time, achieving a better proactivity score with respect S-Flood and SIDEMAN as well
Distributed versus centralized computing of coverage in mobile crowdsensing
Full text linkThe expected spatial coverage of a crowdsensing platform is an important parameter that derives from the mobility data of the crowdsensing platform users. We tackle the challenge of estimating the anticipated coverage while adhering to privacy constraints, where the platform is restricted from accessing detailed mobility data of individual users. Specifically, we model the coverage as the probability that a user detours to a point of interest if the user is present in a certain region around that point. Following this approach, we propose and evaluate a centralized as well as a distributed implementation model. We examine real-world mobility data employed for assessing the coverage performance of the two models, and we show that the two implementation models provide different privacy requirements but are equivalent in terms of their outputs
A Service-Oriented ZigBee Gateway for Smart Environments
No full textIn the recent past Smart Environments, and in particular Smart Homes, have attracted the attention of many researchers and industrial vendors. In such environments, according to the Ambient Intelligence paradigm, heterogeneous devices may operate collectively using context information and intelligence that is usually hidden in the home networks. The networks of ZigBee devices play an important role in this scenario. However they require an easier interaction model with IP-based networks. This work presents an open source platform that seamlessly integrates ZigBee devices with applications running on smart phones and other connected devices available at home. It can be deployed on low-cost devices, such as Plug-PC, and it exploits the OSGi execution environment to discover devices and to notify the smart home of new available services. © 2014-IOS Press and the authors
Empowering mobile crowdsensing through social and ad hoc networking
Full text linkMobile crowdsensing (MCS) enables collective data harvesting actions by coordinating citizens willing to contribute data collected via their sensor-rich smartphones that represent sources of valuable sensing information in urban environments nowadays. One of the biggest challenges in a real long-running MCS system lies in the capacity not only to attract new volunteers, but also, and most importantly, to leverage existing social ties between volunteers to keep them involved to build long-lasting MCS communities. In addition, the advent of high-performing devices and ad hoc communication technologies can help to further amplify the effect of sensing actions in proximity of the volunteer devices. This article originally describes how to exploit these socio-technical networking aspects to increase the performance of MCS campaigns in the ParticipAct living laboratory, an ongoing MCS real-world experiment that involved about 170 students of the University of Bologna for more than two years. The article also reports some significant experimental results to quantify the effectiveness of the proposed techniques
On service discovery in mobile social networks: Survey and perspectives
Full text linkMobile social networks represent a convergence between mobile communications and service-oriented paradigms, which are supported by the large availability and heterogeneity of resources and services offered by recent mobile devices. In particular, the service-oriented nature of MSN is in the capability of sharing resources and services among devices that lie in proximity and that opportunistically interact. Service discovery is thus of primary importance to sustain the most intimate mechanisms of MSN. Despite of their centrality, studies on service discovery in MSN are still in their youth. We contribute to frame the results achieved so far and to identify some possible perspectives of the research in this field, by giving a transversal review of the scientific outcomes in the different steps of service discovery, namely advertisement, query, selection and access
Discovery of Services in Smart Cities of Mobile Social Users
No full textCORDIAL is a collaborative service discovery
strategy designed for mobile and opportunistic networks, which
takes advantage of some features of human behavior, namely the
periodicity of movements, the membership to a restricted
number of communities and the sharing of interests among
members of a community. CORDIAL exploits these features by
adapting the strategies of query and service advertisements by
exploiting the cooperation of nodes with higher social centrality
in order to improve the chance of finding the desired service. The
evaluation of CORDIAL by simulation shows that, as compared
with similar approaches, it improves proactivity and accuracy
levels, and it reaches performances comparable to the flooding
technique but at a much lower cost
Enhancing Mobile Edge Computing Architecture with Human-driven Edge Computing Model
No full textIn an increasingly interconnected world, mobile and wearable devices, through short range communication interfaces and sensors, become needful tools for collecting and disseminating information in high population density environments. In this context MCS, leveraging people’s roaming and their devices’ resources, raised the citizen from mere walk-on part to active participant in the knowledge building and data dissemination process. At the same time, MEC architecture has recently enhanced the two-layer cloud-device architectural model easing the exchange of information and shifting most computational cost from devices towards middle-layer proxies, namely, network edges. We introduce Human-driven Edge Computing, a new model which melts together the power of MEC platform and the large-scale sensing of MCS in order to realize a better data spreading and environmental coverage in smart cities. In addition, will be briefly discussed the main sociological aspects related to human behavior and how they can actually influence the exchange of data in large-scale sensor networks
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