Matlab code of the CIDP protocol for UWSN

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Minh
Minh on 29 Dec 2023
Answered: TED MOSBY on 27 Mar 2025
I'm researching UWSN, I really need the Matlab code of the CIDP protocol. (Cellular Clustering-Based Interference-Aware Data Transmission Protocol for UWSN)
Everyone in the community please help me.
My email: vocongminh@iuh.edu.vn
I'm honestly very grateful.

Answers (1)

TED MOSBY
TED MOSBY on 27 Mar 2025
Hi Minh,
I can give you a generic idea on how to get started on CIDP protocol since you have not provided specific details.
CIDP includes:
  • Clustering: Group nodes into cells or clusters based on their geographic location.
  • Cluster Head Selection: Choose one node per cluster (e.g., the one closest to the sink) to act as the central coordinator.
  • Interference Awareness: Evaluate the interference from other nodes using a path-loss model, and then decide if a cluster head can transmit data based on a defined threshold.
To get started for your code you can refer to the following steps:
  1. Parameter Initialization: Set up your simulation parameters like the number of nodes, the deployment area, sink location, transmission power, and interference threshold. You can also define the grid parameters that will determine the clusters.
  2. Node Deployment: Sensor nodes can be randomly distributed within a defined area.
  3. Clustering: You can divide the deployment area into a grid. Each cell will represent a cluster, and node will be assigned to these clusters based on their position.
  4. Cluster Head Selection: Within each cell, the node closest to the sink can be selected as the cluster head. In practical implementations, you might consider other factors such as energy level or connectivity.
  5. Interference Calculation and Decision-Making: For each cluster head, you can then calculate the aggregate interference using a simple path-loss model (where the received power is inversely proportional to the square of the distance). If the total interference is below a defined threshold, the cluster head can be allowed to transmit.
  6. Finally you can then visualize the sensor nodes, cluster heads, and the sink, which helps in understanding the network layout, etc.
Hope this helps!

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