Performance analysis of distributed access multihop poisson networks

Navid Tadayon, Honggang Wang, Hsiao-Hwa Chen

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

The performance analysis of a distributed access wireless network, in which nodes are randomly distributed [namely, a random wireless network (RWN)] over a large area, is challenging. An effective mathematical modeling of these networks can help network designers to predict whether a given set of quality-of-service (QoS) requirements can be satisfied prior to the real network deployment. Previous models for the performance analysis of multihop RWNs fail to give accurate results due to the assumption of a single-hop, limited, and a priori known number of stations; negligence of the hidden terminals; and the use of a Boolean logic collision model. In this paper, we develop an alternative probabilistic modeling approach to analyze the performance of these networks in medium-access-control (MAC) and network layers. Using the proposed modeling approach and obtained metrics, we can identify a set of optimal parameters to maximize the performance of the networks.

Original languageEnglish
Article number6697895
Pages (from-to)849-858
Number of pages10
JournalIEEE Transactions on Vehicular Technology
Volume63
Issue number2
DOIs
Publication statusPublished - 2014 Jan 1

Fingerprint

Multi-hop
Performance Analysis
Wireless networks
Siméon Denis Poisson
Network layers
Medium access control
Quality of service
Wireless Networks
Probabilistic Modeling
Medium Access Control
Random Networks
Optimal Parameter
Mathematical Modeling
Quality of Service
Collision
Maximise
Logic
Metric
Predict
Alternatives

All Science Journal Classification (ASJC) codes

  • Automotive Engineering
  • Aerospace Engineering
  • Applied Mathematics
  • Electrical and Electronic Engineering

Cite this

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Performance analysis of distributed access multihop poisson networks. / Tadayon, Navid; Wang, Honggang; Chen, Hsiao-Hwa.

In: IEEE Transactions on Vehicular Technology, Vol. 63, No. 2, 6697895, 01.01.2014, p. 849-858.

Research output: Contribution to journalArticle

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