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Edge computing is an increasingly popular paradigm, wherein computation comes closer to the sources of data. A key challenge for edge computing is discovering and utilizing the heterogeneous resources of the vast number of mobile devices at the network edge. Mobile edge devices hide behind private networks, they are mobile and their owners hesitate to share them due to privacy considerations. We propose...
Thanks to the proliferation of mobile technologies that enable devices to use the network for providing (publish) or requiring (subscribe) information according to specific applications aims, the Internet of Things (IoT) can be considered as the biggest challenge that the industry is currently facing. During the last years several application domains for IoT have emerged and among these the Smart...
Online education is evolving at a fast pace thanks to novel technology-mediated learning environments: Massive Open Online Courses (MOOCs), gamified learning, intelligent tutoring systems, citizen-science communities, informal learning groups are blossoming everywhere as novel opportunities for teachers and learners. However, the educational effectiveness of these solutions has to be proved and technological...
Mobile Crowd Sensing (MCS) is a promising paradigm in which mobile users collect and share sensor data from their local environment using wireless mobile devices. The inherent openness of this platform and the selfishness of individuals make it easy to contribute low-quality sensor data, so the recruitment of suitable participants who are trustable and contribute high-quality sensor data, becomes...
Advances in the Internet of Things (IoT) infrastructures are enabling the gathering, processing and inference of a wide array of data, enabling more agile decision management frameworks in several contexts, including vehicle routing and navigation. Coupled with crowd-sensing, these decision management frameworks gain further advantage in terms of data availability. This work concerns itself with safety...
Continuous growing interest in IoT applications particularly for a smart city setting has attracted many researchers. E-health applications in IoT networks are the newest area of interest in this research field. On the other hand, networking and communications fields are witnessing a revolution through the new concepts of Mobile Edge Computing (MEC) characterised by latency sensitivity and geographical...
The realization of IoT in real world without sensing devices is impossible. These sensing devices are battery operated and energy constrained in terms of computation and communication. The optimized communication leads to longer network life time. Minimum hop count, increased connectivity and scalability are challenging issues that can be effectively addressed by clustering mechanism. In the two tier...
In the recent years the Smart City paradigm has gained interest worldwide. Services are built on top of data sensed in the city and then analyzed in order to enhance people's quality of life. Nowadays users are also able to participate in such a data gathering, mostly thanks to a reduction in the cost of the sensing devices. Moreover, smartphones encompass many useful sensors and can be leveraged...
Increased availability of wearable devices, smart phones establishes a platform for designing innovative distributed crowd sourcing mobile applications. These applications can take advantage of computation offloading to augment the constrained resources and unavailability of required context on single mobile device. ContextMete is an offloading architecture that execute such applications across the...
Mobile Crowd Sensing has emerged as a new sensing paradigm, efficiently exploiting human intelligence and mobility in conjunction with advanced capabilities and proliferation of mobile devices. In order for MCS applications to reach their full potentials, a number of research challenges should be sufficiently addressed. The aim of this paper is to survey representative mobile crowd sensing applications...
The futuristic smart cities must have the capabilities to withstand the growing challenges on the urban infrastructure in terms of public safety, resource management, co-operative mobility management and more. To tackle these challenges, the cities are increasingly using next generation information and communication technologies (ICT). A plethora of the ICT based innovations are taking place on a...
Mobile devices have become more and more powerful with lots of embedded sensors providing sensibility of various data, which makes crowd sensing a compelling paradigm followed by emerging applications. In this paper, we design a crowd based incentive mechanism to stimulate participants joining sensing campaigns with consideration of location privacy. In our incentive, MagiCrowd, we creatively cluster...
The 3 V's defining big data raises the need for non-conventional computing and communication architectures for its analytics and processing. In this paper we evolve a new architecture based on amalgamating benefits of Crowdsourcing and Cloud Computing. The “Crowd-Cloud” architecture so formed presents newer domains for efficient analysis and processing of big data. By integrating the sensing and processing...
Gathering information and providing remote assistant is a common trend as it saves time and cost associated with visiting the actual location in person. The widely available mobile sensors are used in collecting information during a task processing. However, gathering information from a remote place, or an area of disaster, is not trivial, given the unavailability of appropriate infrastructure. Existing...
In order to provide connectivity for various M2M devices in an easy and cost-effective manner, we propose the concept of "multi-service shared M2M area networks," which enables multiple M2M service providers to commonly use shared M2M gateways. The characteristics of M2M communications are analyzed in this paper based on various M2M use cases, and the technical challenges of shared M2M area...
Current participatory sensing approaches usually do not consider device carriers as intelligent participants in sensing processes. However, modern mobile communication devices allow users express their opinions and judgements which can complement to captured sensor data. In this paper we bring together different modes of mobile crowd sourcing into a general sensing platform which treats device carriers...
Virtually interconnected objects with unique identifiers and computing, communication and sensing functionalities form the Internet of Things (IoT) architecture. In the cloud-centric IoT concept, IoT objects can provide sensing services based on a cloud-inspired business model. Smart mobile devices have a great potential to improve the performance of IoT applications by enabling access to their built-in...
In the last twenty years, vehicles have become equipped with various sensors and resources, making them capable to communicate, to share resources and to behave cooperatively. This gave rise to the concept of vehicular cloud (VC). Vehicular cloud can be described from the standpoint of applications and services offered by vehicles that belong to a Vehicular Ad hoc Network (VANET). Because of the limitation...
Mobility-as-a-Service (MaaS) describes a class of applications where traditional real-time control systems are enhanced by backbone services accessed via the mobile Internet. In order to implement MaaS, new architectures for multi-stage real-time systems with several layers of control loops have to be implemented. Using approaches such as analytic redundancy, hard real-time control loops are extended...
Augmented reality (AR) is a promising technology for building applications in an Internet of Things (IoT) environment, utilized for visualizing information provided by IoT devices. In this paper, we enable Web-based mobile AR applications with mobile agents in a resource-oriented IoT system architecture. We present an adaptable mobile agent composition that contains the data representation logic and...
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