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With the proliferation of mobile applications, Mobile Cloud Computing (MCC) has been proposed to help mobile devices save energy and improve computation performance. To further improve the quality of service (QoS) of MCC, cloud servers can be deployed locally so that the latency is decreased. However, the computational resource of the local cloud is generally limited. In this paper, we design a threshold-based...
Crowdsourcing has received tremendous attention for collecting various data with the distributed smartphones of people. For the mobile crowdsourcing applications to obtain high-quality data, stimulating user participation is of paramount importance. Although many incentive mechanisms have been designed, most of them ignore the dynamic arrivals and different sensing requirements of tasks. Thus, the...
Mobile crowd sourcing (MCS) has grown to be a powerful computation paradigm to harness human power to solve real-world problems. Many commercial MCS platforms have arisen, enabling various novel applications. As crowd workers can be unreliable, a critical issue of these platforms is quality control. Many task assignment approaches have been proposed to increase the quality of crowd sourced tasks by...
Long Term Evolution (LTE) subscribers expect seamless Quality of Experience (QoE) during their ubiquitous Internet access. Due to the high degree of application and content diversity, the amount of system resources that enable good QoE is application session specific and varies on a wide scale. Accordingly, good QoE requires dynamic and adaptive application session level resource management. The standard...
Wearable technologies are gaining great popularity in the recent years. The demand for devices that are lightweight and compact challenges researchers to pursue innovative solutions to make existing technologies more portable and wearable. In this paper we present a novel wearable cutaneous fingertip device with 3 degrees of freedom. It is composed of two parallel platforms: the upper body is fixed...
In Saudi Arabia, the use of Mobile Government (M-government) services such as issuing an Exit / Re-entry visa by mobile phone is less than expected numbers. One of the biggest challenges of implementing M-government is user acceptance. This research offers theoretical and empirical insights related to the acceptance of government services via the use of the mobile phone system from a customer perspective...
The emergence of cloud computing as an efficient means of providing computing as a form of utility can already be felt with the burgeoning of cloud service companies. Notable examples including Amazon EC2, Rackspace, Google App and Microsoft Azure have already attracted an increasing number of users over the Internet. However, due to the dynamic behaviors of some users, the traditional cloud pricing...
In all current models for cellular networks, independent randomness in the positions of the base stations (BSs) and the propagation conditions is assumed. In practice, however, in coverage-oriented deployments, where the goal is to achieve good baseline coverage, cellular operators place the base stations further apart if propagation is favorable, and vice versa. We thus propose a new class of cellular...
The rapid evolution of cellular networks has brought great changes to mobile network architecture. One trend is the dense deployment of base stations (BSs) in heterogeneous cellular network (HetNets) architecture. On the other hand, the booming mobile Internet applications introduce increasingly significant imbalance in regard to Signal to Interference and Noise Ratio (SINR) statistics and traffic...
In this paper we develop an optimal aggregation platform mechanism for mobile App auction, where all mobile advertising platforms are ranked from top to bottom according to the different filling rates. The first part describes some basic definitions and participants' utility functions in the model. To explain the optimal mechanism, the second part designs a partition advertiser's algorithm to divide...
Cognitive radio technologies have been proposed as a promising communication paradigm to efficiently utilize the spectrum by dynamically accessing the temporally licensed spectrum in an opportunistic way. In secondary spectrum market, the primary user resell the idle spectrum to secondary users who are willing to pay some payment to primary user. Therefore, auction is a nature mechanism for allocating...
In this paper, the area coverage problem of non-convex environments by a group of mobile robots is addressed. Each robot is equipped with a sensing device modeled through a range-limited visibility field. The network is assumed to be homogeneous in terms of nodes' sensing capabilities and general characteristics. A gradient-ascent control law is proposed, based on visibility-based Voronoi diagrams,...
Scheduling delay-tolerant tasks based on both load-and channel-awareness can significantly reduce the peak demand in cellular networks. However, solving the optimal scheduling problem leads to a large-scale Markov Decision Process (MDP) with extremely high complexity. In this work, we propose a scalable and distributed approach to this problem, called Coordinated Scheduling (CoSchd). CoSchd decomposes...
Protocols are introduced to improve the tag reading efficiency of an RFID system consisting of a mobile reader that is constantly moving at a reasonable speed in a warehouse containing many thousands of items tagged with RFID. The warehouse is divided into storage areas with aisles separating these areas and the mobile reader tries to capture as many tag identifiers (IDs) as possible during this process...
Barrier coverage is an important issue in wireless sensor networks. In this paper, we study the problem of how to find barrier gaps in weak barrier coverage and mend gaps via sensor rotation where the network consisting of line-based deployed directional sensors. We first propose a gap finding algorithm to find all sub-barriers and barrier gaps in the network. We then propose two algorithms to mend...
Energy sustainability is one of the world focuses and a crucial matter today. In this information technology era, many fancy technologies have been designed and created to help human in creating the better living. In fact, they are also the main causes why the energy demand is increasing. This research is trying to introduce IntelligEnSia, as the recommendation in order to achieve the energy sustainability...
With the continuously development of enterprise informatization, the effect of group enterprise scale effect and fine management preliminary reveals, scientific decision-making difficulty is greatly increased, business intelligence applications demand urgently. Against this backdrop, this paper through the research of BI and a company using the BI components for nuclear power maintenance business...
In this paper, we present an efficient interleaving method for SM-MIMO scheme in a cooperative satellite and terrestrial system. In the proposed scheme, we are not only utilizing bit-interleaver for both the satellite and terrestrial paths, but also employ a symbol-interleaver for the satellite path. The interleaver improves the performance by achieving a large diversity gain across the codewords...
Mobile learning, the learning method which learners can leverage mobile devices to learn everywhere, has become the one of the most potential learning approach as novel mobile devices emerges. However, how the novel mobile learning technology can be accepted by learners was seldom addressed. Meanwhile, due to the unavailability of large number (more than 100) experts for evaluating novel mobile learning...
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