lossy networks RPL

Layer2 2020 11 21 03 23 02

efficient cluster head selection using network simulation tool

WHAT IS OMNET++

OVERVIEW :

 OMNET++ based on C++ Simulation library and framework enabling for building the simulation network.wireless and wired area includes in networks .We can execute in eclipse based IDE and graphical run time environment.We can operate in different component with various architecture system.

Components:

·         simulation kernel library

·         NED topology description language

·         OMNeT++ IDE based on the Eclipse platform

·         GUI for simulation execution, links into simulation executable (Tkenv)

·         command-line user interface for simulation execution (Cmdenv)

·         utilities (makefile creation tool, etc.)

Platforms:

OMNeT++ Executes unix,linux,windows and Mac Os

Procedure:

          In a system there were number of sensor nodes are placed  for example nearly 100 wireless sensors . We  need to use these wireless node to sense the atmosphere . A sink node is used to collect all the data collected by wireless sensors. Initially there were number of sink node we used so that it all will collect the data sensed by wireless sensors . But that also became a drawback because there were more energy loss. So we are using single sink node that will collect all the data from all the wireless sensors . The sink node is in mobility state. The wireless node is placed in such a way that it will form a tree structure to transmit the data to sink node. Once the sink node is placed and the wireless node are placed in tree structure then the data sensed by it is transmitted to the sink node through the best way . The sink node is moved from one place to another place to collect the data sensed by the sensors in that area’s sensor nodes.

Simulation to create Wireless sensor Nodes:

Wsnnode[numnodes]::HostBmac

{

Parameters:

Display(“i=device/palmpc,x=234,y=132”)

}

The above snippet is used to create n number of wireless sensor nodes. We have to pass the value for numnodes when we run the program. The following snippet is used to create the sink node .

Sink::Hostbmac

{

Parameters:

Display(“i=device/antenna,x=677,y=458”)

}

The above snippet helps to create the sink node . x , y  represents the position of the sink node in that area also ‘I’ represents the image to be appeared on screen when we run the program. Both sink and wsnnode are derived from Hostbmac class which we created in mixim project and we referenced in this current project in omnet++.Once we derive the class the facilities available in that particular class get derived by the derived class. The current project is called as the derived class and the mixim project’s class is called the base class for the class.    

Once we frame the network if we create 50 wireless sensor node and a sink node they form tree like structure and started communicating each other and to the sink node . Once the sink node mobility speed and time interval and acceleration is set according to that the sink node moves from one place to another.

OMNET++ TUTORIALS & TRAINING FOR BEGINNERS :

OMNET++ TUTORIAL RELATED VIDEOS:

VIDEO:1 

VIDEO :2 

VIDEO:3

VIDEO :4

VIDEO :5 

Wireless Sensor Network with sink node replacement:

                

                Wireless sensor network is used in many  area nowadays. It is mainly used to sense the data through the sensors available  . Hence the sensors need to sense some data over a particular area and need to transmit the data . One of the big dis-advantage in the wireless sensor is that it can not store large amount of energy. Hence we need to transmit the data as soon as possible also we need to save the energy of the sensors. The wireless sensors lost its energy when it move from one place to another place. Hence we need to avoid  the movement of the wireless sensors so that we can save large amount of energy. For this purpose we use sink node to collect the data sensed by the wireless sensors also in this system we are going to make the sink node in mobile state to collect the data sensed by these wireless sensors.