Probabilistic QoS Analysis In Wireless Sensor Networks

Abstract

Emerging applications of wireless sensor networks (WSNs) require real-time quality of service (QoS) guarantees to be provided by the network. Traditional analysis work only focuses on the first-order statistics, such as the mean and the variance of the QoS performance. However, due to unique characteristics of WSNs, a cross-layer probabilistic analysis of QoS performance is essential. In this dissertation, a comprehensive cross-layer probabilistic analysis framework is developed to investigate the probabilistic evaluation and optimization of QoS performance provided by WSNs. In this framework, the distributions of QoS performance metrics are derived, which are natural tools to discover the probabilities to achieve given QoS requirements. Compared to first-order statistics, the distribution of these metrics reveals the relationship between the performance of QoS-based operations and the probability to achieve the performance.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 2012
Accession Number
ADA560180

Entities

People

  • Yunbo Wang

Organizations

  • University of Nebraska-Lincoln Department of Computer Science and Engineering

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Computer Science
  • Computer Simulations
  • Detectors
  • Energy Conservation
  • Energy Consumption
  • Markov Processes
  • Networks
  • Order Statistics
  • Probabilistic Models
  • Probability
  • Sensor Networks
  • Statistics
  • Test And Evaluation
  • Two Dimensional
  • Wireless Communications
  • Wireless Networks
  • Wireless Sensor Networks

Fields of Study

  • Computer science

Readers

  • Computer Networking
  • Statistical inference.