Reliability and Temporality Optimization for Multiple Coexisting WirelessHART Networks in Industrial Environments

Xi Jin, Fanxin Kong, Linghe Kong, Wei Liu, Peng Zeng

Research output: Contribution to journalArticle

28 Scopus citations

Abstract

WirelessHART is a networking technology that is widely used in industrial wireless sensor networks. Its reliability and real-time performance are essential to industrial production. Many works have studied these two aspects, primarily focusing on a single WirelessHART network. However, multiple WirelessHART networks usually coexist in a real industrial environment. Applying existing approaches to such coexisting networks would cause performance degradation due to communication interference among these networks. In this paper, we propose a holistic framework that optimizes both reliability and temporality for multiple coexisting networks. The framework consists of two levels. The upper level targets communication channel management, and the lower level addresses data flow scheduling. For the upper level, we propose a network isolation algorithm that improves the data transmission reliability through dynamically adjusting channel assignments to different WirelessHART networks. For the lower level, we propose data flow scheduling algorithms that guarantee the temporality of data flows within each isolated network. These algorithms minimize the number of channels reserved by each isolated network and further enhance the transmission reliability through alleviating channel resource contention. We conduct trace-driven simulations of the channel management algorithm, and the results demonstrate that our algorithm exhibits stable performance and reduces packet loss by $36\%$. For the scheduling algorithms, the simulations demonstrate that in contrast with existing algorithms, the greater the number of coexisting networks, the fewer resources our algorithms use. When eight networks coexist, our algorithms outperform existing ones by consuming up to $63\%$ fewer channel resources.

Original languageEnglish (US)
Article number7878578
Pages (from-to)6591-6602
Number of pages12
JournalIEEE Transactions on Industrial Electronics
Volume64
Issue number8
DOIs
StatePublished - Aug 1 2017
Externally publishedYes

Keywords

  • Channel management
  • industrial environment
  • scheduling algorithms
  • wireless sensor networks

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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