Simulator NS2

Simulator NS2 is our organization, one of the leading concerns in the development and research on simulation such as ns2. In the past seven years, more than five thousand students, and research scholars have completed their projects under our supervision

The Simulator has a number of routing and protocol for simulating the network. The protocols which are used in Simulator ns2 are understood by our professionals, and they had research on those concepts. We are also furnishing an online execution facility for our other country clients.

Totally, more than 240 country students are doing their projects and research with our effective guidance.

We are also offering the thesis preparation for the Phd scholars,

$ns_ node-config -adhocRouting $val(rp) \

-llType $val(ll) \

-macType $val(mac) \

-ifqType $val(ifq) \

-ifqLen $val(ifqlen) \

-antType $val(ant) \

-propType $val(prop) \

-phyType $val(netif) \

-channel [new $val(chan)] \

-topoInstance $topo \

-agentTrace ON \

-routerTrace ON \

-macTrace OFF \

-movementTrace OFF

# 1500 – 20 byte IP header – 40 byte TCP header = 1440 bytes

Agent/TCP set packetSize_ 1440 ;# This size EXCLUDES the TCP header

set agent [new Agent/TCP]

set app [new Application/FTP]

set sink [new Agent/TCPSink]

$app attach-agent $agent

$ns_ attach-agent $node_(0) $agent

$ns_ attach-agent $node_(4) $sink

$ns_ connect $agent $sink

   The Sampson’s monastery study is one of the most notable and earliest of cases and use of DNA. Because he took snapshots of the same Simulator network from different intervals and observed and analyzed the evolution of the network in Simulator.

   The changes in ns2 networks sometimes result from external factors that are independent of social features found in network DNA.

   Generally, an optimized DNA ns2 tool for large-scale networks and admits the analysis of multiple networks simultaneously. Generally, the meta-networks or high-dimensional networks are named as multi-node multiplex networks. There are multiple types of nodes (multi-node), and multiple types of links (multiplex) are available in DNA Simulator ns2.

   In contrast, the single or at most two-mode data and facilitate the analysis are the main focus of SNA statistical Simulator tools of only one type of link at a time. DNA looks at meta-networks for the very first time. There are three main features to dynamic Simulator network analysis that distinguish it from standard social network analysis.

   Second, agent-based modeling and other forms of simulations are often used to explore as well as the impact of interventions on those Simulation ns2 networks and how networks evolve and adapt. Third, the links in the network are not a binary representation of the probability that there is a link.

   DNA statistical Simulator tools tend to provide more measures to the user. Simultaneously, they have measures that use data drawn from multiple Simulator ns2 networks.

   The nodes in DNA are like atoms in quantum theory, and nodes can be, though, need not be treated as probabilistic from a computer simulation perspective. The nodes in a DNA model have the ability to learn nodes, whereas in traditional SNA models are static.

   The new skills and increase value to the network are learned by company employees or capture one terrorist, and three more are forced to improvise. The element of a network’s evolution is added by the DNA and considers the circumstances under which change is likely to occur.

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