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Temporal Modeling of Link Characteristic in Mobile Ad hoc Network

Jyoti Prakash Singh orcid id ; Dept. of Information Technology, National Institute of Technology, Patna, Bihar, India
Paramartha Dutta ; Dept. of Computer and System Sciences, Visva-Bharati University, West Bengal, India

Puni tekst: engleski pdf 1.317 Kb

str. 143-154

preuzimanja: 504



Ad hoc network consists of a set of identical nodes that move freely and independently and communicate among themselves via wireless links. The most interesting feature of this network is that they do not require any existing infrastructure of central administration and hence is very suitable for temporary communication links in an emergency situation. This flexibility, however, is achieved at a price of communication uncertainty induced due to frequent topology changes. In this article, we have tried to identify the system dynamics using the proven concepts of time series modeling. Here, we have analyzed variation of link utilization between any two particular nodes over a fixed area for differentmobility patterns under different routing algorithm. We have considered four different mobility models – (i) Gauss-Markov mobility model, (ii) Manhattan Grid Mobility model and (iii) Random Way Point mobility model and (iv) Reference Point Group mobility model. The routing protocols under which, we carried out our experiments are (i) Ad hoc On demand Distance Vector routing (AODV), (ii) Destination Sequenced Distance Vector routing (DSDV) and (iii) Dynamic Source Routing (DSR). The value of link load between two particular nodes behaves as a random variable for any mobility pattern under a routing algorithm. The pattern of link load for every combination of mobility model and for every routing protocol can be well modeled as an autoregressive model of order p i.e. AR(p). The order of p is estimated and it is found that most of them are of order 1 only.

Ključne riječi

ad hoc network; mobility modeling; link load; time series analysis; autoregressive modeling; autocorrelation; white noise

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