Distributed network control for mobile multi-modal wireless sensor networks

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

Research output: Contribution to journalArticle

8 Citations (Scopus)

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.

Original languageEnglish (US)
Pages (from-to)460-470
Number of pages11
JournalJournal of Parallel and Distributed Computing
Volume71
Issue number3
DOIs
StatePublished - Mar 1 2011

Fingerprint

Distributed Networks
Sensor networks
Wireless Sensor Networks
Wireless sensor networks
Data Quality
Sensor Networks
Resources
Data fusion
Sensor nodes
Sensor
Distributed Computation
Prognosis
Dynamic Networks
Data Fusion
Resilience
Region of Interest
Controllers
Communication
Sensors
Fusion

All Science Journal Classification (ASJC) codes

  • Software
  • Theoretical Computer Science
  • Hardware and Architecture
  • Computer Networks and Communications
  • Artificial Intelligence

Cite this

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Distributed network control for mobile multi-modal wireless sensor networks. / Bein, Doina; Wen, Yicheng; Phoha, Shashi; Madan, Bharat B.; Ray, Asok.

In: Journal of Parallel and Distributed Computing, Vol. 71, No. 3, 01.03.2011, p. 460-470.

Research output: Contribution to journalArticle

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