11,332 research outputs found
Quality of Information in Mobile Crowdsensing: Survey and Research Challenges
Smartphones have become the most pervasive devices in people's lives, and are
clearly transforming the way we live and perceive technology. Today's
smartphones benefit from almost ubiquitous Internet connectivity and come
equipped with a plethora of inexpensive yet powerful embedded sensors, such as
accelerometer, gyroscope, microphone, and camera. This unique combination has
enabled revolutionary applications based on the mobile crowdsensing paradigm,
such as real-time road traffic monitoring, air and noise pollution, crime
control, and wildlife monitoring, just to name a few. Differently from prior
sensing paradigms, humans are now the primary actors of the sensing process,
since they become fundamental in retrieving reliable and up-to-date information
about the event being monitored. As humans may behave unreliably or
maliciously, assessing and guaranteeing Quality of Information (QoI) becomes
more important than ever. In this paper, we provide a new framework for
defining and enforcing the QoI in mobile crowdsensing, and analyze in depth the
current state-of-the-art on the topic. We also outline novel research
challenges, along with possible directions of future work.Comment: To appear in ACM Transactions on Sensor Networks (TOSN
A Human-Centric Approach to Group-Based Context-Awareness
The emerging need for qualitative approaches in context-aware information
processing calls for proper modeling of context information and efficient
handling of its inherent uncertainty resulted from human interpretation and
usage. Many of the current approaches to context-awareness either lack a solid
theoretical basis for modeling or ignore important requirements such as
modularity, high-order uncertainty management and group-based
context-awareness. Therefore, their real-world application and extendability
remains limited. In this paper, we present f-Context as a service-based
context-awareness framework, based on language-action perspective (LAP) theory
for modeling. Then we identify some of the complex, informational parts of
context which contain high-order uncertainties due to differences between
members of the group in defining them. An agent-based perceptual computer
architecture is proposed for implementing f-Context that uses computing with
words (CWW) for handling uncertainty. The feasibility of f-Context is analyzed
using a realistic scenario involving a group of mobile users. We believe that
the proposed approach can open the door to future research on context-awareness
by offering a theoretical foundation based on human communication, and a
service-based layered architecture which exploits CWW for context-aware,
group-based and platform-independent access to information systems
Context-awareness for mobile sensing: a survey and future directions
The evolution of smartphones together with increasing computational power have empowered developers to create innovative context-aware applications for recognizing user related social and cognitive activities in any situation and at any location. The existence and awareness of the context provides the capability of being conscious of physical environments or situations around mobile device users. This allows network services to respond proactively and intelligently based on such awareness. The key idea behind context-aware applications is to encourage users to collect, analyze and share local sensory knowledge in the purpose for a large scale community use by creating a smart network. The desired network is capable of making autonomous logical decisions to actuate environmental objects, and also assist individuals. However, many open challenges remain, which are mostly arisen due to the middleware services provided in mobile devices have limited resources in terms of power, memory and bandwidth. Thus, it becomes critically important to study how the drawbacks can be elaborated and resolved, and at the same time better understand the opportunities for the research community to contribute to the context-awareness. To this end, this paper surveys the literature over the period of 1991-2014 from the emerging concepts to applications of context-awareness in mobile platforms by providing up-to-date research and future research directions. Moreover, it points out the challenges faced in this regard and enlighten them by proposing possible solutions
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