Proxy-assisted content sharing using content centric networking (CCN) for resource-limited mobile consumer devices

2011 ◽  
Vol 57 (2) ◽  
pp. 477-483 ◽  
Author(s):  
Jihoon Lee ◽  
Daeyoub Kim
Keyword(s):  
Content Centric Networking ◽  
Content Sharing ◽  
Resource Limited ◽  
Mobile Consumer ◽  
Consumer Devices

scholarly journals A Novel Weighted Clustering Algorithm Supported by a Distributed Architecture for D2D Enabled Content-Centric Networks

Sensors ◽  
2020 ◽  
Vol 20 (19) ◽  
pp. 5509 ◽  
Author(s):  
Saad Aslam ◽  
Fakhrul Alam ◽  
Syed Faraz Hasan ◽  
Mohammad Rashid
Keyword(s):  
Clustering Algorithm ◽  
Content Distribution ◽  
Network Virtualization ◽  
Cellular Systems ◽  
Common Interest ◽  
Performance Parameters ◽  
Distributed Architecture ◽  
Content Centric Networking ◽  
Content Sharing ◽  
Weighted Clustering

Next generation cellular systems need efficient content-distribution schemes. Content-sharing via Device-to-Device (D2D) clustered networks has emerged as a popular approach for alleviating the burden on the cellular network. In this article, we utilize Content-Centric Networking and Network Virtualization to propose a distributed architecture, that supports efficient content delivery. We propose to use clustering at the user level for content-distribution. A weighted multifactor clustering algorithm is proposed for grouping the D2D User Equipment (DUEs) sharing a common interest. The proposed algorithm is evaluated in terms of energy efficiency, area spectral efficiency, and throughput. The effect of the number of clusters on these performance parameters is also discussed. The proposed algorithm has been further modified to allow for a tradeoff between fairness and other performance parameters. A comprehensive simulation study demonstrates that the proposed clustering algorithm is more flexible and outperforms several classical and state-of-the-art algorithms.

The design of a speech interactivity embedded module and its applications for mobile consumer devices

2008 ◽  
Vol 54 (2) ◽  
pp. 870-876 ◽  
Author(s):  
Jhing-Fa Wang ◽  
Jia-Ching Wang ◽  
Ming-Hua Mo ◽  
C.-I. Tu ◽  
Shun-Chieh Lin
Keyword(s):  
Mobile Consumer ◽  
Consumer Devices

Pervasive and Interactive Use of Multimedia Contents via Multi-Technology Location-Aware Wireless Architectures

2011 ◽  
pp. 103-125
Author(s):  
Pasquale Pace ◽  
Gianluca Aloi
Keyword(s):  
Low Cost ◽  
Consumer Electronics ◽  
Handheld Devices ◽  
Communication Architecture ◽  
Network Support ◽  
Computing Paradigm ◽  
Location Aware ◽  
Mobile Consumer ◽  
Wireless Architectures ◽  
Consumer Devices

Nowadays, due to the increasing demands of the fast-growing Consumer Electronics (CEs) market, more powerful mobile consumer devices are being introduced continuously; thanks to this evolution of CEs technologies, many sophisticated pervasive applications start to be developed and applied to context and location aware scenarios. This chapter explores applications and a real world case-study of pervasive computing by means of a flexible communication architecture well suited for the interactive enjoyment of historical and artistic contents and built on top of a wireless network infrastructure. The designed system and the implemented low cost testbed integrate different communication technologies such as Wi-Fi, Bluetooth, and GPS with the aim of offering, in a transparent and reliable way, a mixed set of different multimedia and Augmented Reality (AR) contents to mobile users equipped with handheld devices. This communication architecture represents a first solid step to provide network support to pervasive context-aware applications pushing the ubiquitous computing paradigm into reality.

Survey on Grid Computing on Mobile Consumer Devices

2010 ◽  
pp. 313-337 ◽  
Author(s):  
Jochen Furthmüller ◽  
Oliver P. Waldhorst
Keyword(s):  
Grid Computing ◽  
Mobile Devices ◽  
Network Architecture ◽  
Future Trends ◽  
Shared Resources ◽  
Intermittent Connectivity ◽  
Mobile Consumer ◽  
Complicating Factors ◽  
The Many ◽  
Consumer Devices

Grid computing offers exciting possibilities for mobile consumer devices. The sharing of resources makes new, demanding applications feasible and helps to exploit previously unused potential. As the number of mobile devices for communication and computation increases, so does the appeal of a mobile grid. However, transferring the paradigm of grid computing to the domain of mobile devices is difficult: limited resources, intermittent connectivity, increased heterogeneity, and network dynamics are some of the many complicating factors. There are different approaches to tackling the isolated facets of this task. These avenues vary according to management structure, network architecture, the kind of shared resources, and whether the mobile devices merely use resources or also contribute resources to the grid. This chapter introduces a scheme for classifying approaches to establishing mobile grids with respect to these aspects. Furthermore, it provides a survey of these efforts and identifies remaining challenges and future trends.

Survey on Grid Computing on Mobile Consumer Devices

2012 ◽  
pp. 1197-1220
Author(s):  
Jochen Furthmüller ◽  
Oliver P. Waldhorst
Keyword(s):  
Grid Computing ◽  
Mobile Devices ◽  
Network Architecture ◽  
Future Trends ◽  
Shared Resources ◽  
Intermittent Connectivity ◽  
Mobile Consumer ◽  
Complicating Factors ◽  
The Many ◽  
Consumer Devices

Grid computing offers exciting possibilities for mobile consumer devices. The sharing of resources makes new, demanding applications feasible and helps to exploit previously unused potential. As the number of mobile devices for communication and computation increases, so does the appeal of a mobile grid. However, transferring the paradigm of grid computing to the domain of mobile devices is difficult: limited resources, intermittent connectivity, increased heterogeneity, and network dynamics are some of the many complicating factors. There are different approaches to tackling the isolated facets of this task. These avenues vary according to management structure, network architecture, the kind of shared resources, and whether the mobile devices merely use resources or also contribute resources to the grid. This chapter introduces a scheme for classifying approaches to establishing mobile grids with respect to these aspects. Furthermore, it provides a survey of these efforts and identifies remaining challenges and future trends.

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