PLATON Project

Planning Tool for the Connectivity in Wireless Sensor Networks


Within the framework of the PLATON (PLAnning Tool for the ConnecTivity in Wireless SensOr Networks) project, AWE Communications develops a software package for the analysis of wireless sensor and MESH networks.


PLATON is scheduled for 24 months, starting at Jan 01, 2009. The project is co-funded by the BMBF (German Federal Ministry of Research) within the KMU-Innovationsoffensive.



AWE Communications develops


The HTW Dresden (University of Applied Sciences in Dresden, Germany) will contribute measurements in rural and indoor sensor networks for the optimization of the accuracy of the new propagation models. 




 Contributions of AWE Communications to PLATON

The contributions of AWE Communications in the framework of PLATON are:

  • Specification of a simulator for MESH networks

  • Development of new wave propagation models for MESH networks (in rural, urban and indoor scenarios) and adaptation of existing models

  • Development of an algorithm for the automatic distribution of MESH nodes in a scenario

  • Implementation of wave propagation models and of the simulator for the connectivity

  • Validation of the new simulator with measurements

Overall Concept


In the frame of the PLATON project, a three step concept has been developed. The so called DPC concept is based on the following steps:

  • STEP D: Distribution of sensor nodes (either stochastic or deterministic, depending on scenario and application)

  • STEP P: Path loss computation between sensor nodes

  • STEP C: Connectivity analysis

Step D
Distribution of nodes
Step P
Path loss computation
Step C
Analysis of connectivity


Please click on the images to obtain further information about the steps of the DPC concept.



Presentation  of the company
Poster with overview about PLATON project

Presentation  of the PLATON project

Read more about measurements conducted within the PLATON project

Read more about the public funded projects

Read more about  propagation models

Read  more about simulation of MESH networks