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Volume 18 No. 3
05 June 2013

Rui Zhang,Ping Ji,Dinkar Mylaraswamy,Mani Srivastava,Sadaf Zahedi

2013, 18(3): 209-219.   doi:10.1109/TST.2013.6522580
Abstract ( 29 HTML ( 0   PDF(1759KB) ( 25 )   Save

Sensor networks are deployed in many application areas nowadays ranging from environment monitoring, industrial monitoring, and agriculture monitoring to military battlefield sensing. The accuracy of sensor readings is without a doubt one of the most important measures to evaluate the quality of a sensor and its network. Therefore, this work is motivated to propose approaches that can detect and repair erroneous (i.e., dirty) data caused by inevitable system problems involving various hardwar...

Fan Li,Xiao He,Siyuan Chen,Libo Jiang,Yu Wang

2013, 18(3): 220-229.   doi:10.1109/TST.2013.6522581
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Shortest path routing protocol intends to minimize the total delay between every pair of destination node and source node. However, it is also well-known that shortest path routing suffers from uneven distribution of traffic load, especially in dense wireless networks. Recently, several new routing protocols are proposed in order to balance traffic load among nodes in a network. One of them is Circular Sailing Routing (CSR) which maps nodes on the surface of a sphere and select routes based o...

Qiao Fu,Bhaskar Krishnamachari,Lin Zhang

2013, 18(3): 230-241.   doi:10.1109/TST.2013.6522582
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Vehicular Delay Tolerant Networks (DTN) use moving vehicles to sample and relay sensory data for urban areas, making it a promising low-cost solution for the urban sensing and infotainment applications. However, routing in the DTN in real vehicle fleet is a great challenge due to uneven and fluctuant node density caused by vehicle mobility patterns. Moreover, the high vehicle density in urban areas makes the wireless channel capacity an impactful factor to network performance. In this paper, ...

Kenneth Ezirim,Shamik Sengupta

2013, 18(3): 242-249.   doi:10.1109/TST.2013.6522583
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Among cognitive radio networks there is a persistent trend of competition to acquire under-utilized and idle channels for data transmission. The competition for spectrum resources often results in the misuse of the spectrum resources as networks experience contention in attempt to access unoccupied spectrum bands. The competitive scenario causes cognitive radio networks to incur a huge amount of loss, which constitutes a major problem of self-coexistence among networks. As a way to minimize t...

Liang Hu,Zhengyu Zhang,Feng Wang,Kuo Zhao

2013, 18(3): 250-258.   doi:10.1109/TST.2013.6522584
Abstract ( 9 HTML ( 0   PDF(745KB) ( 18 )   Save

The Internet of Things emphasizes the concept of objects connected with each other, which includes all kinds of wireless sensor networks. An important issue is to reduce the energy consumption in the sensor networks since sensor nodes always have energy constraints. Deployment of thousands of wireless sensors in an appropriate pattern will simultaneously satisfy the application requirements and reduce the sensor network energy consumption. This article deployed a number of sensor nodes to rec...

Jun Li,Baochun Li

2013, 18(3): 259-272.   doi:10.1109/TST.2013.6522585
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In the current era of cloud computing, data stored in the cloud is being generated at a tremendous speed, and thus the cloud storage system has become one of the key components in cloud computing. By storing a substantial amount of data in commodity disks inside the data center that hosts the cloud, the cloud storage system must consider one question very carefully: how do we store data reliably with a high efficiency in terms of both storage overhead and data integrity? Though it is easy to ...

Li Chen,Baochun Li,Bo Li

2013, 18(3): 273-285.   doi:10.1109/TST.2013.6522586
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Datacenters have become increasingly important to host a diverse range of cloud applications with mixed workloads. Traditional applications hosted by datacenters are throughput-oriented without delay requirements, but newer generations of cloud applications, such as web search, recommendations, and social networking, typically employ a tree-based Partition-Aggregate structure, which may incur bursts of traffic. As a result, flows in these applications have stringent latency requirements, i.e....

Zhenhua Li,Zhi-Li Zhang,Yafei Dai

2013, 18(3): 286-297.   doi:10.1109/TST.2013.6522587
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In recent years, cloud sync(hronization) services such as GoogleDrive and Dropbox have provided Internet users with convenient and reliable data storing/sharing functionality. The cloud synchronization mechanism (in particular, how to deliver the user-side data updates to the cloud) plays a critical role in cloud sync services because it greatly affects the cloud operation cost (in terms of sync traffic) and user experience (in terms of sync delay). By comprehensively mea...

Yuan Tian,Chuang Lin,Zhen Chen,Jianxiong Wan,Xuehai Peng

2013, 18(3): 298-307.   doi:10.1109/TST.2013.6522588
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The energy consumption in large-scale data centers is attracting more and more attention today with the increasing data center energy costs making the enhanced performance very expensive. This is becoming a bottleneck to further developments in terms of both scale and performance of cloud computing. Thus, the reduction of the energy consumption by data centers is becoming a key research topic in green IT and green computing. The web servers providing cloud service computing run at various spe...

Wei Chen,Junwei Cao,Yuxin Wan

2013, 18(3): 308-317.   doi:10.1109/TST.2013.6522589
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Video streaming services are trending to be deployed on cloud. Cloud computing offers better stability and lower price than traditional IT facilities. Huge storage capacity is essential for video streaming service. More and more cloud providers appear so there are increasing cloud platforms to choose. A better choice is to use more than one data center, which is called multi-cloud. In this paper a closed-loop approach is proposed for optimizing Quality of Service (QoS) and cost. Modules of mo...

Feng Xie,Zhen Chen,Hongfeng Xu,Xiwei Feng,Qi Hou

2013, 18(3): 318-327.   doi:10.1109/TST.2013.6522590
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Collaborative filtering solves information overload problem by presenting personalized content to individual users based on their interests, which has been extensively applied in real-world recommender systems. As a class of simple but efficient collaborative filtering method, similarity based approaches make predictions by finding users with similar taste or items that have been similarly chosen. However, as the number of users or items grows rapidly, the traditional approach is suffering fr...