PIPE plugin for Hybrid Rewriting Petri Nets visual simulation of Wireless Sensor Networks

Abstract

Wireless Sensor networks (WSNs) have become one of the most interesting areas of research in the past few years. This paper presents an overview of proposed plugin for adding feature of modeling hybrid rewritable petri nets for Platform-Independent Petri Net Editor (PIPE), an open-source tool that supports the design and analysis of Generalized Stochastic Petri Net (GSPN) models. Recent advances in wireless and electronic technologies have enabled a wide range of applications of WSNs in military, traffic surveillance, target tracking, environment monitoring and healthcare monitoring. Petri nets are a widely used formalism for the analysis of concurrent systems and as such there are a lot of existing tools which allow users to edit, animate and analyze a range of Petri net classes. PIPE ’s extensible design enables developers to add functionality via pluggable analysis modules. It also acts as a front-end for a parallel and distributed performance evaluation environment.