A multicast delivery approach with minimum energy consumption for wireless multi-hop networks

Jiang, Dingde; Xu, Zhengzheng; Lv, Zhihan

doi:10.1007/s11235-015-0111-9

Cited by 92 publications

(54 citation statements)

References 25 publications

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“…In [29], instead of supposing per-defined popularity for video contents, the authors find the important points in a video and proposed algorithm to give priority to cached these important points. Network traffic and energy efficiency have an important impact on the video, which is considered in [9,10] and [11].…”

Section: Related Workmentioning

confidence: 99%

Management of scalable video streaming in information centric networking

Ullah

Thar

Hong

2016

Multimed Tools Appl

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Ability of caching the contents is one of the most important feature of an Information Centric Networking (ICN) node. By managing the cache space intelligently we can improve network's performance and increase users' Quality of Experience (QoE). Moreover, scalable video streaming in ICN is envisioned to be very beneficial as well as a challenging issue. In this paper, we are proposing a mechanism for cache management and request forwarding policies for scalable video streaming in ICN. Our proposed cache decision policy ensures to cache the base layer of a scalable video near to the users, which is mandatory layer for decoding any SVC encoded video and is needed by all the users with any data-rate budget, and consequently cache the higher layers in the upper nodes in the CCN/ICN within a specific RTT range. Furthermore, our intelligent cache decision cover fairness by considering router's cache capacity (inside the RTT range) and at the same time giving more priority to the nodes that are nearer to the users. A limited cooperative request forwarding mechanism, which is the part of our proposal, plays a role to improve users' QoE by providing the popular requested contents quickly. We have intensively simulated our proposed cache management and request forwarding scheme. The simulation results show that our proposed solution outperforms the current cache management schemes and improve the cache utilization. Also our proposed scheme decrease the traffic flowing inside the network by eliminating the request flooding and providing the requested contents from the nearby location to the users. The proposed scheme provides video faster to the users, specially the mandatory base layer is provided very quickly to the users.

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Section: Related Workmentioning

confidence: 99%

Management of scalable video streaming in information centric networking

Ullah

Thar

Hong

2016

Multimed Tools Appl

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“…The profile search methods based on regions are quicker and more successful in noise control. Table 3 shows the contrast data between the profile search method in the Thesis and edge inspection algorithm based on sobel operator [4], Roberts operator [5] and Prewitt operator [5]. In statistics, non-channel line pixels are all considered noise, thus the noise proportion in the Thesis's algorithm is apparently lower.…”

Section: Verification Experimentsmentioning

confidence: 99%

“…The main content of shipping intellectualization includes realizing intelligent decision-making support and intelligent target ship function for automatic ship collision avoidance. Besides, there are two automatic control models for the ship, course and track control modules, which can achieve automatic ship collision avoidance and automatic track monitoring respectively and be applied in algorithm tests of both automatic ship collision avoidance and intelligent control [4][5][6]. As the development of researches on shipping sciences and technologies has been focusing on improving shipping safety and to realize automatic ship collision avoidance, minimize and completely eradicate collision accidents by human factors from happening earlier, there is an increasing number of shipping simulator projects such as automatic yacht handling and control training and simulation platform entrusted by enterprises during the construction process of implementing platform projects.…”

Section: Introductionmentioning

confidence: 99%

Heading Homing Simulation System Based on Image Intelligent Recognition

Zhao

Eslami

2016

TELKOMNIKA

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“…is rough variable on standardization and it can be learned from interval reliability analysis model that, the greater Z , the farther the structure will be to the invalid zone and the structure is in reliable state [14].…”

Section: Non-linear Performance Function Of Rough Variablementioning

confidence: 99%

Engineering Cost Evaluation Model Based on Multi Dimension Entropy and Intelligent Algorithm

Li¹,

Nilsson

2016

TELKOMNIKA

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A complex structure has many uncertain factors and how to make a more accurate analysis on the structure reliability by a method is the key in engineering calculation. Rough Keywords: Structure reliability index; Evaluation; Engineering cost; Rough set theory; Rough variables; Intelligent algorithmCopyright © 2016 Universitas Ahmad Dahlan. All rights reserved. IntroductionAs defined in unified standard [1] for design of structure reliability index, structure reliability index is the capacity of the structure to complete predetermined functions in specified time and specified condition and the corresponding probability is degree of reliability. Specified time means the designed service life namely the time that the structure or the member can be used for predetermined purpose without overhaul. Specified condition means "three normal", namely normal design, normal construction and normal predetermined function use which means security, applicability and durability.Traditional reliability calculation method based on probability theory and mathematical statistics is called probability reliability calculation method and is also called conventional reliability calculation method. Common structure reliability calculation method includes firstorder second-moment method, high-order high-moment method, optimization method, response surface method, Monte Carlo method and random finite element method.There are many uncertain factors in all kinds of engineering structures, such as physical property, geometrical parameters and carried load (such as wind load, wave load and seismic load etc.). People fail to determine the value of them in advance and influence of uncertain factors on structure becomes more and more serious due to the limitation of conditions. Traditional uncertain information processing method includes fuzzy set theory, evidence theory and probability statistics theory etc.Literature research [2,3] indicates that, probability reliability calculation method is sensitive to the probability model parameters and small error of probability data may lead to a bigger error of structure reliability calculation, so probability reliability theory faces a huge challenge. Therefore, the Thesis uses rough set theory to calculate the structure reliability index and to simulate the uncertainty of the structure to describe the uncertain parameters of the structure into rough variables and uses the maximum uncertainty degree allowed by the structure to measure the reliability so as to obtain the reliability index of the structure and this method is accurate both in the variable expression and calculation result.

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A multicast delivery approach with minimum energy consumption for wireless multi-hop networks

Cited by 92 publications

References 25 publications

Management of scalable video streaming in information centric networking

Management of scalable video streaming in information centric networking

Heading Homing Simulation System Based on Image Intelligent Recognition

Engineering Cost Evaluation Model Based on Multi Dimension Entropy and Intelligent Algorithm

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