Modeling Connectivity of Ad Hoc Network Using Fuzzy Logic & Regression Analysis
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International Journal of Computer Trends and Technology (IJCTT) | 
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| © 2016 by IJCTT Journal | ||
| Volume-42 Number-1 |
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| Year of Publication : 2016 | ||
| Authors : Mohit Jain, Satish Chand | ||
| DOI : 10.14445/22312803/IJCTT-V42P104 |
Mohit Jain, Satish Chand "Modeling Connectivity of Ad Hoc Network Using Fuzzy Logic & Regression Analysis". International Journal of Computer Trends and Technology (IJCTT) V42(1):17-25, December 2016. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.
Abstract -
One of the ad hoc network challenges
is the network connectivity due to changeable and
dynamic topology of network nodes. Since in ad hoc
network every nodes plays the role of router, so it is
possible that the movement of one or more nodes may
disconnect the network. If the network get
disconnected the desired data cannot be send from
source to destination .So , in order to alleviate this
problem we need some model that can tell us the
number of connected nodes in the network for a given
node density and transmission range . In this paper
we propose a linear model to predict the network
connectivity for the given node density and
transmission range. We first use fuzzy logic to
understand the connectivity by varying node density
and transmission range. the resultant data is used for
validation of our proposed model by using regression
analysis. The R square value of our model is 0.9955,
Ftest value is 178.29 and P value is 0.0001 , which
indicates that our model is statistically significant.
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Keywords
Ad hoc networks, connectivity,
topology control, critical transmitting range, node
density, regression , correlation ,routing ,statistical
analysis system, critical points, k-connectivity, fuzzy
logic.