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https://doi.org/10.2498/cit.1001412

Temporal Modeling of Node Mobility in Mobile Ad hoc Network

Jyoti Prakash Singh
Paramartha Dutta

Puni tekst: engleski, pdf (2 MB) str. 19-29 preuzimanja: 556* citiraj
APA 6th Edition
Singh, J.P. i Dutta, P. (2010). Temporal Modeling of Node Mobility in Mobile Ad hoc Network. Journal of computing and information technology, 18 (1), 19-29. https://doi.org/10.2498/cit.1001412
MLA 8th Edition
Singh, Jyoti Prakash i Paramartha Dutta. "Temporal Modeling of Node Mobility in Mobile Ad hoc Network." Journal of computing and information technology, vol. 18, br. 1, 2010, str. 19-29. https://doi.org/10.2498/cit.1001412. Citirano 11.12.2019.
Chicago 17th Edition
Singh, Jyoti Prakash i Paramartha Dutta. "Temporal Modeling of Node Mobility in Mobile Ad hoc Network." Journal of computing and information technology 18, br. 1 (2010): 19-29. https://doi.org/10.2498/cit.1001412
Harvard
Singh, J.P., i Dutta, P. (2010). 'Temporal Modeling of Node Mobility in Mobile Ad hoc Network', Journal of computing and information technology, 18(1), str. 19-29. https://doi.org/10.2498/cit.1001412
Vancouver
Singh JP, Dutta P. Temporal Modeling of Node Mobility in Mobile Ad hoc Network. Journal of computing and information technology [Internet]. 2010 [pristupljeno 11.12.2019.];18(1):19-29. https://doi.org/10.2498/cit.1001412
IEEE
J.P. Singh i P. Dutta, "Temporal Modeling of Node Mobility in Mobile Ad hoc Network", Journal of computing and information technology, vol.18, br. 1, str. 19-29, 2010. [Online]. https://doi.org/10.2498/cit.1001412

Sažetak
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 however is achieved at the price of communication link
uncertainties due to frequent topology changes. In this article we describe
the system dynamics using the proven concept of time series
modeling. Specifically, we 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 powers, (iii) sampling periods and (iv) different mobility
patterns. We 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 we find that the
variation of the number of neibhbor nodes can be well modeled by an
autoregressive AR$(p)$ model. The values of $p$ evaluated for different
scenarios are found to be in the range between $1$ and $5$. Moreover, we also
investigate the relationship between the speed and the time of measurements,
and the transmission range of a specific node under various mobility
patterns.

Hrčak ID: 59511

URI
https://hrcak.srce.hr/59511

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