Analysis of Cross Layer Protocol IoT in Multimedia Communication

Performance Analysis of Cross Layer Protocol IoT in Multimedia Communication

IMPLEMENT PLAN

Scenario 1: IoMT Protocol

Step 1: Initially, we constructed an IoT network with 200 nodes , 1 Base Station (BS), and 1 Server.

Step 2: Then, we simulated the network with  dynamic mobility and collected the multimedia network traffic data generated during transmission.

Step 3: Then,  we implement the IoMT cross-layer protocol for efficient multimedia communication based on collected data.

Step 4: Next,  we  optimized forwarding relay selection using energy, link quality, and delay-aware fitness functions using QoS parameters based on collected data,

Step 5: Finally, we analyzed performance metrics for the following:

5.1 Number of Sensor Nodes Vs. Throughput
5.2 Number of Sensor Nodes Vs. Delay
5.3 Number of Sensor Nodes Vs. Energy Consumption
5.4 Number of Sensor Nodes Vs. Load

Scenario 2: LinGO Protocol

Step 1: Initially, we constructed an IoT network with 200 nodes , 1 Base Station (BS), and 1 Server .

Step 2: Then, we simulated the network and collected the multimedia network traffic data generated during transmission.

Step 3: Then, we implement the LinGO protocol using beaconless opportunistic routing with QoE-aware multimedia packet forwarding based on collected data,

Step 4: Next,  we  optimized forwarding relay selection using energy, link quality, and delay-aware fitness functions using QoS parameters based on collected data,

Step 5: Finally, we analyzed performance metrics for the following:

5.1 Number of Sensor Nodes Vs. Throughput
5.2 Number of Sensor Nodes Vs. Delay
5.3 Number of Sensor Nodes Vs. Energy Consumption
5.4 Number of Sensor Nodes Vs. Load

 Scenario 3: MCROSS Protocol

Step 1: Initially, we constructed an IoT network with 200 nodes , 1 Base Station (BS), and 1 Server .

Step 2: Then, we simulated the network and collected the multimedia network traffic data generated during transmission.

Step 3: Then, we implement the MCROSS protocol with DSDMAC-based MAC layer optimization and directional communication based on collected data,

Step 4: Next,  we  optimized forwarding relay selection using energy, link quality, and delay-aware fitness functions using QoS parameters based on collected data,

Step 5: Finally, we analyzed performance metrics for the following:

5.1 Number of Sensor Nodes Vs. Throughput
5.2 Number of Sensor Nodes Vs. Delay
5.3 Number of Sensor Nodes Vs. Energy Consumption
5.4 Number of Sensor Nodes Vs. Load

 Scenario 4: CL-HHO Protocol

Step 1: Initially, we constructed an IoT network with 200 nodes , 1 Base Station (BS), and 1 Server .

Step 2: Then, we simulated the network and collected the multimedia network traffic data generated during transmission.

Step 3: Then, we implement the CLHHO protocol using cross-layer Harris Hawk Optimization for adaptive route selection based on collected data,

Step 4: Next,  we  optimized forwarding relay selection using energy, link quality, and delay-aware fitness functions using QoS parameters based on collected data,

Step 5: Finally, we analyzed performance metrics for the following:

5.1 Number of Sensor Nodes Vs. Throughput
5.2 Number of Sensor Nodes Vs. Delay
5.3 Number of Sensor Nodes Vs. Energy Consumption
5.4 Number of Sensor Nodes Vs. Load

 Scenario 5: ONCP Protocol

Step 1: Initially, we constructed an IoT network with 200 nodes , 1 Base Station (BS), and 1 Server .

Step 2: Then, we simulated the network and collected the multimedia network traffic data generated during transmission.

Step 3: Then, we implement the ONCP protocol using modified PSO with crossover and mutation for optimal clustering and routing based on collected data,

Step 4: Next,  we  optimized forwarding relay selection using energy, link quality, and delay-aware fitness functions using QoS parameters based on collected data,

Step 5: Finally, we analyzed performance metrics for the following:

5.1 Number of Sensor Nodes Vs. Throughput
5.2 Number of Sensor Nodes Vs. Delay
5.3 Number of Sensor Nodes Vs. Energy Consumption
5.4 Number of Sensor Nodes Vs. Load

Software Requirements:

1. Development Tool:  NS 3.30 or above with Python
2. Operating System:  Ubuntu 18.04 LTS (64-bit) or above

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