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论文作者:www.51lunwen.org论文属性:本科毕业论文 Thesis登出时间:2014-12-24编辑:Cinderella点击率:11627
论文字数:5763论文编号:org201412192102465262语种:英语 English地区:澳大利亚价格:免费论文
关键词:human migrationmobility concept人类迁移流动性
摘要:本文介绍了人类流动性,尤其突出了人类流动数据对互联网络研究工作的重要意义。
Applications
By now, a known fact is that mobility is a predominant factor that influences outcome of network protocols and simulations. Since there are no traces of user mobility on large scale, mobility models are used in the research of such work. These models are made akin to reality in the best way possible by considering the prevalent characteristics. The behavior in human mobility presents a scale-free usefulness to various aspects important in networks and communications.
The Gauss-Markov mobility model finds its application in such scenarios where humans tend to aggregate. Such places as markets, stores and shopping centers and people move from one interesting place to another. This model conceptualizes people as tending to judge the interest of a certain place depending on the interests of other people in that same place. This means they follow trends while mimicking their colleagues (Borrel, n.d). This is indeed the useful aspect employed in the Gauss-Markov model in the simulation of network routing and protocols.
GROUP MOBILITY MODELS
Reference point group mobility model
In the reference point group mobility model, otherwise known as RPGM model, the movement of a group of entities is represented as well as that of individual entities within the group. In actual sense, a foundation for the derivation of other models is provided by this model. It is conveniently assumed that a group of entities moves in accordance with a specified mobility model with predefined parameters while individual entities in the group move in accordance to another mobility model having a different set of parameters (Frattasi, 2010). RPGM presents a common framework for group mobility; hence it can be used in simulation of various mobility models.
The concept of group center, referred to as the reference point, is defined as a virtual point moving along a set of waypoints in group motion. The members of the group encounter random deviations from the group motion. Each node in a group follows a logical reference center which acts as the group leader and determines the motion and behavior of the group. The member nodes are then distributed randomly around this logical point. As the reference points of individual nodes move from time t to t+1, their current locations are updated in accordance to the reference center. Once they are updated and their reference points calculated, they are joined to a random vector of motion which represents the random movement of every node about its reference point. Varying scenarios and mobility applications may be r本论文由英语论文网提供整理,提供论文代写,英语论文代写,代写论文,代写英语论文,代写留学生论文,代写英文论文,留学生论文代写相关核心关键词搜索。