Wireless-Sensor-Networks

Wireless Sensor Networks Simulator in Matlab (tree and star topology)

A MATLAB toolset for modelling and analysing wireless sensor networks (WSN). Given a network described by node positions, parent/child relationships, radio parameters, and the propagation environment, the simulator evaluates link feasibility and packet delivery for tree and star topologies.

What it does

For a network model you define in MATLAB, the code:

• Builds and plots the network topology from a parent vector (treeNetplot.m), labelling the coordinator and each node.
• Checks node-to-parent connectivity (conCheck.m): a child is considered connected when the maximum radio transmission distance implied by its link budget is at least the Euclidean distance to its parent.
• Detects the hidden terminal problem (HTP) (HTPCheck.m): for nodes that share the same parent, it flags pairs where one node's transmission can reach the parent but the two nodes cannot hear each other.
• Estimates packet delivery success probability (pSuccessTree.m, Ps_L.m): it groups nodes by tree level, derives per-level and per-router statistics, and combines per-level success probabilities into an end-to-end success probability for the tree.
• Computes Euclidean distances between nodes in 2D or 3D (euclideanDis.m).

The radio model is a link-budget / path-loss formulation driven by transmit power range, receiver sensitivity, antenna gains (Gt, Gr), a path-loss exponent (Beta), and the operating frequency (e.g. 2.4 GHz).

Network model

A network is described by a treeNetModel struct, for example:

• NodesParents — parent of each node (0 marks the coordinator/root).
• NodeLoc — node coordinates (2D or 3D).
• SensRange — sensing coverage range per node.
• NodeP — per-node radio parameters (min/max transmit power in dBm and sensitivity in dBm).
• NodeBatt — battery energy per node (inf for the mains-powered coordinator).
• Ch — radio channel number.
• Environment: Gt, Gr (antenna gains, dB), Beta (path-loss exponent), f (frequency, Hz).

Repository layout

File	Purpose
treeWSNsolverRun_V2.m	Example run script: defines a sample tree model and calls the solver
WSNsolver.m	Dispatches to the star, tree, or mesh solver by topology
treeWSNsolver.m	Tree-topology solver: connectivity and hidden terminal analysis
pSuccessTree.m	End-to-end packet delivery success probability over the tree
Ps_L.m	Per-level packet transmission success probability
vectorToNodeParentLevelChilderen.m	Derives node level and child counts from the parent vector
treeNetplot.m	Plots the network tree (adapted from MATLAB's treeplot)
conCheck.m / HTPCheck.m	Connectivity and hidden-terminal link checks
euclideanDis.m	2D/3D Euclidean distance
Pmac.m / probPortionSD.m	MAC success and time-portion helpers
readme.txt	Original call-graph notes

How to run in MATLAB

1. Clone the repository and add the folder to the MATLAB path.

2. Open and run the example script:

   treeWSNsolverRun_V2

   This defines a sample tree network, plots it, runs the tree solver, and prints the hidden terminal problem list, the connectivity results, and the packet success probability.

3. To analyse your own network, edit the treeNetModel fields in treeWSNsolverRun_V2.m (or build the struct yourself) and call:

   WSNsolver(treeNetModel, 'tree')

Notes and limitations

• The tree topology path is the most complete. The star and mesh branches of WSNsolver.m are placeholders/stubs.
• Some helper functions referenced by the solvers (for example maxTxDis, starWSNsolver, meshWSNsolver) are not included in this repository.
• Pmac.m and probPortionSD.m currently return constant placeholder values.
• treeNetplot.m is adapted from MATLAB's built-in treeplot (Copyright The MathWorks, Inc.).

Author

Mohsen Seyedkazemi Ardebili — mohsen.seyedkazemi@gmail.com

License

Released under the Apache License 2.0. See LICENSE.