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addition, jumping distance may be minimized or maximized under the power law which distributes the distance. These characteristics were generally applied to every individual and have found numerous implications.

 

This model is claimed to be used by those civil engineers who are in road planning. Moreover, all the public health officials, who work on the outbreak of epidemics because of attack of viruses, will also be in facilitation because of this model. In addition, all the telecommunication companies which will be having no difficulty in deciding where to locate their tower for making the signals in reach of people. In other words, the entire situation related to predicting the destination of people or the trend of people for visit will be facilitated by this model

 

Random Walk Mobility Model

After discussing the first model it is the turn to move towards next model which is a purely synthetic model and is having its worth as being one of the highly influential models among all the models of human mobility. The model which we name as Random Walk mobility model is the one which is most commonly known as Brownian motion. It has been mentioned earlier in the section moving towards mobility models that it is the model that is having extensive implications in all the disciplines of human lives [20].This is true that it covers almost all the dimensions of physics and also finds its implications in meteorology department which works on weather predictions. It is surprising to know that the mankind is enjoying the fruits of hard work of that department which is having implications of a mathematical model in it. But unfortunately, as far as mobile communication or cellular and wireless connectivity is concerned, this model fails to provide any sufficient base as we can see on Figure 1[23]. The reason behind is an unpredictability of human nature. Most of the times, human beings do not follow the regular patterns as they keep on changing the directions which make it difficult for this model to predict their mobility patterns.

 

Random Way-Point Mobility Model

This model is not a new one as it is elaborating the previous model or extending it to make it applicable for the wireless means of connectivity. Because it has tried to focus on the loopholes of the previous model as that model was unable to cover the fluctuations coming in the way of speed or direction of an entity. But there is a problem with the model too as it is still unable to cover the geographical patterns of movement associated with better understanding of human mobility. This problem can be understood because of the nodes not being able to reflect any real world situation in their first placement [10].

 

There is also a problem with the concentration of nodes at the central point in the case of taking bounded area into consideration. Ther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。