Distributed network control for mobile multi-modal wireless sensor networks

  • Authors:

  • Doina Bein;Yicheng Wen;Shashi Phoha;Bharat B. Madan;Asok Ray

  • Affiliations:

  • Applied Research Laboratory, The Pennsylvania State University, University Park, PA 16802-5018, USA;Department of Mechanical Engineering, The Pennsylvania State University, University Park, PA 16802-1412, USA;Applied Research Laboratory, The Pennsylvania State University, University Park, PA 16802-5018, USA;Applied Research Laboratory, The Pennsylvania State University, University Park, PA 16802-5018, USA;Department of Mechanical Engineering, The Pennsylvania State University, University Park, PA 16802-1412, USA

  • Venue:
  • Journal of Parallel and Distributed Computing
  • Year:
  • 2011

Quantified Score

Hi-index 0.06

Visualization

Abstract

A sensor network operates on an infrastructure of sensing, computation, and communication, through which it perceives the evolution of events it observes. We propose a fusion-driven distributed dynamic network controller, called MDSTC, for a multi-modal sensor network that incorporates distributed computation for in-situ assessment, prognosis, and optimal reorganization of constrained resources to achieve high quality multi-modal data fusion. For arbitrarily deployed sensors, a certain level of data quality cannot be guaranteed in sparse regions. MDSTC reallocates resources to sparse regions; reallocation of network resources in this manner is motivated by the fact that an increased density of sensor nodes in a region of interest leads to better quality data and enriches the network resilience. Simulation results in NS-2 show the effectiveness of the proposed MDSTC.