Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Ad-hoc network consists of a set of identical nodes that move freely and independently and communicate via wireless links. The most interesting feature of this network is that it does not require any predefined infrastructure or central administration and hence it is very suitable for establishing temporary communication links in emergency situations. This flexibility hover is achieved at the price of communication link uncertainties due to frequent topology changes. In this article  describe the system dynamics using the proven concept of time series modeling. Specifically,  analyze variations of the number of neighbor nodes of a particular node over a geographical area and for given total number of nodes assuming different values of (i) the speeds of nodes, (ii) the transmission pors, (iii) sampling periods and (iv) different mobility patterns.  consider three different mobility models: (i) Gaussian mobility model, (ii) random walk mobility model and (iii) random way point mobility model. The number of neighbor nodes of a particular node behaves as a random variable for any mobility pattern. Through our analysis  find that the variation of the number of neibhbor nodes can be ll modeled by an autoregressive AR$(p)$ model. The values of $p$ evaluated for different scenarios are found to be in the range beten $1$ and $5$. Moreover,  also investigate the relationship beten the speed and the time of measurements, and the transmission range of a specific node under various mobility patterns.
['Jyoti Prakash Singh', 'Paramartha Dutta']
I am writing a research paper on a idea Temporal Modeling of Node Mobility in Mobile Ad-hoc Network
[{"from": "human", "value": "I am writing a research paper on a idea Temporal Modeling of Node Mobility in Mobile Ad-hoc Network"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Ad-hoc network consists of a set of identical nodes that move freely and independently and communicate via wireless links. The most interesting feature of this network is that it does not require any predefined infrastructure or central administration and hence it is very suitable for establishing temporary communication links in emergency situations. This flexibility hover is achieved at the price of communication link uncertainties due to frequent topology changes. In this article  describe the system dynamics using the proven concept of time series modeling. Specifically,  analyze variations of the number of neighbor nodes of a particular node over a geographical area and for given total number of nodes assuming different values of (i) the speeds of nodes, (ii) the transmission pors, (iii) sampling periods and (iv) different mobility patterns.  consider three different mobility models: (i) Gaussian mobility model, (ii) random walk mobility model and (iii) random way point mobility model. The number of neighbor nodes of a particular node behaves as a random variable for any mobility pattern. Through our analysis  find that the variation of the number of neibhbor nodes can be ll modeled by an autoregressive AR$(p)$ model. The values of $p$ evaluated for different scenarios are found to be in the range beten $1$ and $5$. Moreover,  also investigate the relationship beten the speed and the time of measurements, and the transmission range of a specific node under various mobility patterns."}]