e-mail address: omnetmanual@gmail.com

Phone number: 7639361621

Tel 7639361621

DEFENDER
  • Phd Omnet++ Projects
    • RESEARCH PROJECTS IN OMNET++
  • Network Simulator Research Papers
    • Omnet++ Thesis
    • Phd Omnet++ Projects
    • MS Omnet++ Projects
    • M.Tech Omnet++ Projects
    • Latest Omnet++ Projects
    • 2016 Omnet++ Projects
    • 2015 Omnet++ Projects
  • OMNET INSTALLATION
    • 4G LTE INSTALLATION
    • CASTALIA INSTALLATION
    • INET FRAMEWORK INSTALLATION
    • INETMANET INSTALLATION
    • JDK INSTALLATION
    • LTE INSTALLATION
    • MIXIM INSTALLATION
    • Os3 INSTALLATION
    • SUMO INSTALLATION
    • VEINS INSTALLATION
  • Latest Omnet++ Projects
    • AODV OMNET++ SOURCE CODE
    • VEINS OMNETPP
    • Network Attacks in OMNeT++
    • NETWORK SECURITY OMNET++ PROJECTS
    • Omnet++ Framework Tutorial
      • Network Simulator Research Papers
      • OMNET++ AD-HOC SIMULATION
      • OmneT++ Bandwidth
      • OMNET++ BLUETOOTH PROJECTS
      • OMNET++ CODE WSN
      • OMNET++ LTE MODULE
      • OMNET++ MESH NETWORK PROJECTS
      • OMNET++ MIXIM MANUAL
  • OMNeT++ Projects
    • OMNeT++ OS3 Manual
    • OMNET++ NETWORK PROJECTS
    • OMNET++ ROUTING EXAMPLES
    • OMNeT++ Routing Protocol Projects
    • OMNET++ SAMPLE PROJECT
    • OMNeT++ SDN PROJECTS
    • OMNET++ SMART GRID
    • OMNeT++ SUMO Tutorial
  • OMNET++ SIMULATION THESIS
    • OMNET++ TUTORIAL FOR WIRELESS SENSOR NETWORK
    • OMNET++ VANET PROJECTS
    • OMNET++ WIRELESS BODY AREA NETWORK PROJECTS
    • OMNET++ WIRELESS NETWORK SIMULATION
      • OMNeT++ Zigbee Module
    • QOS OMNET++
    • OPENFLOW OMNETPP
  • Contact

Dec 23 / Posted by OMNeT++ MANUAL

No Comments

A Novel Statistical Model for Distributed Estimation in Wireless Sensor Networks

In this paper, we consider the problem of distributed parameter estimation in imperfect environments for wireless sensor networks (WSNs). By imperfect environments, we refer to distortions that can be caused by sensor noise, quantization noise and channel effect. A novel statistical model is proposed to quantify these errors in WSNs. The first and second order statistics are derived analytically. The estimator is then probability density function unaware.

An analytical bound of the mean square error (MSE) performance at the fusion center is also derived. We further apply the proposed method to the power scheduling problem of WSNs. By formulating it as a convex optimization problem, an analytical solution is obtained. Simulation results show that the proposed approach outperforms the conventional distributed estimation methods. For the power scheduling application, the proposed method is shown to have an improved power saving compared to a classic method in the literature.

Tags: 2016 omnet++ projects,inet framework omnet++,omnet++ projects

Categories: 2015 Omnet++ Projects

designed by OMNeT++ Projects .