Search Results for "wireless sensor network simulation in python"

This project contains an infrastructure for visual simulation of wireless sensor networks, which allows evaluate the energy consumption of the network when running reactive applications whose load is described by stochastic models. Besides of the performance evaluation of different network configurations, it also provides resources for evaluating dynamic network management strategies. Through experiments, the effectiveness of the framework is demonstrated to evaluate network performance considering more realistic load models as well as to evaluate strategies for load balancing.

DogoIDS is an open-source active-probing-based network intrusion detection system (AP-NIDS) for wireless multihop networks (MANETs, Wireless Mesh Networks, Sensor Networks, etc). At this stage, DogoIDS only support the IEEE 802.11s standard for Wireless Mesh Networks. DogoIDS is now under construction in a very early stage and mainly for research purposes. However, we aim to release a stable version ready for production soon. *** IMPORTANT *** We uploaded the very first experimental...

While wireless sensor networks are increasingly equipped to handle more complex functions, in-network processing may require these battery powered sensors to judiciously use their constrained energy to prolong the effective network life time especially in a heterogeneous settings. Clustered techniques have since been employed to optimize energy consumption in this energy constrained wireless sensor networks.

...We propose a deterministic energy-efficient clustering protocol that is dynamic, distributive, self-organizing and more energy efficient than the existing protocols. It utilizes a simplified approach which minimizes computational overhead-cost to self-organize the sensor network. Our simulation result shows a better performance with respect to energy consumption, which is reflected in the network lifetime in both homogeneous and heterogeneous settings when compared with the existing protocols. It is worthy of note that our approach approximates an ideal solution for balanced energy consumption in hierarchical wireless sensor networks.

Liowsn (Linux for works with WSN) was created to assist teachers, students and people involved with projects of Wireless Sensor Network (WSN). The operating system is Ubuntu 9.10 remastered and it contains several tools for simulation and testing installed to work with WSN. Discussion Group: http://groups.google.com/group/liowsn-users User manual: https://dl.dropbox.com/u/4912938/LiowsnManual_EN.pdf (English Version) https://dl.dropbox.com/u/4912938/LiowsnManual_PT.pdf (Portuguese Version)

TOPO is a simple tool that allows the user to create and manipulate arbitrary Wireless Sensor Network (WSN) topologies without worrying about the anomalies that could arise using a text-base topology description. It is fast and easy to use and can accelerate small scale projects such as network simulation. The tool is still undergoing development stage and is open to extension. One the candidate component to be soon integrated is a WSN discrete event simulator.