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Toward Offering More Useful Data Reliably to Mobile Cloud From Wireless Sensor Network

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TLDR
A novel WSN-MCC integration scheme named TPSS is proposed, which consists of two main parts: time and priority-based selective data transmission (TPSDT) for WSN gateway to selectively transmit sensory data that are more useful to the cloud, considering the time and priorities of the data requested by the mobile user.
Abstract
The integration of ubiquitous wireless sensor network (WSN) and powerful mobile cloud computing (MCC) is a research topic that is attracting growing interest in both academia and industry. In this new paradigm, WSN provides data to the cloud and mobile users request data from the cloud. To support applications involving WSN-MCC integration, which need to reliably offer data that are more useful to the mobile users from WSN to cloud, this paper first identifies the critical issues that affect the usefulness of sensory data and the reliability of WSN, then proposes a novel WSN-MCC integration scheme named TPSS, which consists of two main parts: 1) time and priority-based selective data transmission (TPSDT) for WSN gateway to selectively transmit sensory data that are more useful to the cloud, considering the time and priority features of the data requested by the mobile user and 2) priority-based sleep scheduling (PSS) algorithm for WSN to save energy consumption so that it can gather and transmit data in a more reliable way. Analytical and experimental results demonstrate the effectiveness of TPSS in improving usefulness of sensory data and reliability of WSN for WSN-MCC integration.

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Citations
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Multi-Method Data Delivery for Green Sensor-Cloud

TL;DR: Compared to exclusive data delivery from cloud to SC users, evaluation results show that MMDD could achieve lower delivery cost or less delivery time for SC users.
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Artificial Intelligence for Cloud-Assisted Smart Factory

TL;DR: A vertically-integrated four-tier CaSF architecture is presented and the key AI technologies involved in the CaSF are classified and described according to the logical relationships in the architecture hierarchy.
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Distributed Parameter Estimation for Mobile Wireless Sensor Network Based on Cloud Computing in Battlefield Surveillance System

TL;DR: The architecture of a battlefield surveillance system is constructed based on mobile cloud computing and 5G link, and the root multiple signal classification (Root-MUSIC)-like algorithm is proposed for estimating the 1-D DOA and a polarization parameter with a uniform linear array.
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Energy-Efficient Sub-Carrier and Power Allocation in Cloud-Based Cellular Network With Ambient RF Energy Harvesting

TL;DR: Simulation results show that more energy can be harvested by the user devices compared with narrow band SWIFT systems, and the QPSO method achieves higher energy efficiency than a conventional particle swarm optimization approach.
Journal ArticleDOI

Towards Pricing for Sensor-Cloud

TL;DR: Five SC Pricing Models (SCPMs) are introduced, each of which considers one of the following factors respectively to charge a SC user: i) the lease period of the SC user; ii) the required working time of SC; iii) the SC resources utilized by the SC users; iv) the volume of sensory data obtained by theSC user; and finally, the SC path that transmits sensory data from the WSN to the SCuser.
References
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Journal ArticleDOI

Wireless sensor networks: a survey

TL;DR: The concept of sensor networks which has been made viable by the convergence of micro-electro-mechanical systems technology, wireless communications and digital electronics is described.
Journal ArticleDOI

A Survey of Mobile Cloud Computing Application Models

TL;DR: The mobile cloud architecture, offloading decision affecting entities, application models classification, the latest mobile cloud application models, their critical analysis and future research directions are presented.
Journal ArticleDOI

A Survey on Sensor-Cloud: Architecture, Applications, and Approaches

TL;DR: This paper presents a comprehensive study of representative works on Sensor-Cloud infrastructure, which will provide general readers an overview of the Sensor- Cloud platform including its definition, architecture, and applications.
Journal ArticleDOI

Underground coal mine monitoring with wireless sensor networks

TL;DR: The design of a Structure-Aware Self-Adaptive WSN system, SASA, is discussed, able to rapidly detect structure variations caused by underground collapses, and a sound and robust mechanism for efficiently handling queries under instable circumstances is developed.
Journal Article

Underground coal mine monitoring with wireless sensor networks - article no. 10

TL;DR: In this article, the authors discuss the design of a Structure-Aware Self-Adaptive WSN system, SASA, which is able to rapidly detect structure variations caused by underground collapses.
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