SIMPLE NS2 PROGRAMS

     Simple NS2 Programs reflects our code simplicity and efficiency as our experts impart their entire expertise to develop a simple code in NS2. You may find plenty of sites offering Ns-2 programs and codes, but how many of them will offer you code as per your need. We are here to offer you simple NS-2 programs on any topic or concept, you wish to have.

We cannot confine our service with Simple NS2 programs, we offer coding for most complex topics, projects and research work as one of our major service. Approach us with your need, we are now available through online to service you at 24/7.

SIMPLE NS-2 PROGRAMS

   It provides few basic programs in NS2 for students to know our code expertise and efficiency. Ns2 code is the soul of any Simulation project as it decides the final output. So be careful regarding your NS-2 code implementation as your code decides your grades. We have world class developers and experts with us, who are available through online to offer you particular code or program in NS-2. In this article, we have taken one of the major concepts of networking i.e. Clustering mechanism and provided few sample programs for it. Other major concepts in Networks like Routing protocol, topological generation, networking attacks are discussed in our other articles in this site.

Sample programs on Clustering Concept in Ns-2:

      Major languages used to program NS-2 are also TCL and C++ where TCL is used as scripting language whereas C++ is used as a programming language. Before having a glance over the below enumerated programs, first understand the major clustering algorithms used in NS-2.

Few Major Clustering Algorithms Used in Ns2:

Identifier based Clustering:
  • Max-Min d-Cluster formation algorithm
  • Lowest ID Cluster Algorithm
Connectivity based Clustering :
  • K-hop connectivity ID Clustering algorithm
  • Adaptive Cluster Load balance method
  • Highest connectivity clustering algorithm
  • Adaptive Multi-hop Clustering
Mobility Aware Clustering:
  • In Mobility based Metric also for clustering
  • Mobility based framework also for Adaptive clustering
  • And also in Mobility based d-hop Clustering Algorithm
Low Cost Maintenance Clustering:
  • Least Cluster change algorithm
  • 3-hop between adjacent cluster heads
  • Adaptive clustering
Weight based Clustering:
  • Vote based clustering algorithm
  • Weighted in also clustering algorithm
  • Also Weight based adaptive clustering algorithm
  • Connectivity, energy and also mobility driven weighted clustering algorithm
  • Entropy also based weighted clustering algorithm
Power Aware Clustering:
  • Power aware connected dominant set clustering
  • Load balancing clustering
  • Clustering also for energy conservation

     Now, you may get an idea about major clustering algorithm also used in NS2. Now, let’s see few example programs in Ns2 also based clustering concept.  Using this, you can create your own code in NS2, or if you need better guidance on it, approach us anytime.

Example 1: Cluster Set based on ID

ClusterSetByID::ClusterSetByID (int size)

: ClusterSet (size)

{

}

ClusterSetByID::ClusterSetByID (const Graph & g)

: ClusterSet (g)

{

compute (g);

}

void    ClusterSetByID::compute (const Graph & g)

{

int n = g.nodeCount();

NodeSet         covered(n);

clear ();

covered.clear ();

round = 1;

while (covered.memberCount() < n)

{

round ++;

electClusterHead (g, covered);

}

}

void    ClusterSetByID::electClusterHead (const Graph & g, NodeSet & covered)

{

int n = g.nodeCount();

NodeSet sav = covered;

for (int node = 1; node <= n; node ++)

{

if (covered[node])

continue;

const NodeSet           &ns = g.absorbantSet(node);

if (isMinimum (ns, node, sav))

markCluster (node, ns, covered);

}

}

int       ClusterSetByID::isMinimum (const NodeSet &ns, int node, NodeSet & covered)

{

int neighbor = ns.firstMember ();

while (neighbor && neighbor < node)

{

if (! covered[neighbor])

return 0;         // has a uncovered smaller neighbor

neighbor = ns.nextMember (neighbor);

}

return 1;

}

Example 2: Cluster set based on weight

ClusterSetByWt::ClusterSetByWt (int size)

: ClusterSetByDegree (size)

{

}

ClusterSetBywt::ClusterSetByWt (const Graph & g, const int * wt)

: ClusterSetByDegree (g.nodeCount ())

{

compute (g, wt);

}

void    ClusterSetByWt::compute (const Graph & g, const int * wt)

{

int n = g.nodeCount();

NodeSet         covered(n);

clear ();

covered.clear ();

round = 0;

while (covered.memberCount() < n)

{

round ++;

electClusterHead (g, covered, wt);

}

}

       We also have provide an overview of how to implement a clustering concept in Ns2. Similarly, we will also provide our guidance on other concepts of Networking, if you wish to have. Using these concepts, you can also build an entire networking project. This is the reason; we have provided sample programs on basic concepts of Networking. Hope you feel content with our information, if not, approach us through online anytime 24/7.

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