A Lease Based Hybrid Design Pattern for Proper-Temporal-Embedding of Wireless CPS Interlocking

Feng Tan, Yufei Wang, Qixin Wang, Lei Bu, Neeraj Suri

Research output: Journal article publicationJournal articleAcademic researchpeer-review

7 Citations (Scopus)


Cyber-Physical Systems (CPS) integrate discrete-Time computing and continuous-Time physical-world entities, which are often wirelessly interlinked. The use of wireless safety-critical CPS requires safety guarantees despite communication faults. This paper focuses on one important set of such safety rules: Proper-Temporal-Embedding (PTE), where distributed CPS entities must enter/leave risky states according to properly nested temporal pattern and certain duration spacing. Our solution introduces hybrid automata to formally describe and analyze CPS design patterns. We propose a novel leasing based design pattern, along with closed-form configuration constraints, to guarantee PTE safety rules under arbitrary wireless communication faults. We propose a formal procedure to transform the design pattern hybrid automata into specific wireless CPS designs. This procedure can effectively isolate physical world parameters from affecting the PTE safety of the resultant specific designs. We conduct two wireless CPS case studies, one on medicine and the other on control, to show that the resulted system is safe against communication failures. We also compare our approach with a polling based approach. Both approaches support PTE under arbitrary communication failures. The polling approach performs better under severely adverse wireless medium conditions; while ours performs better under benign or moderately adverse wireless medium conditions.
Original languageEnglish
Article number6898840
Pages (from-to)2630-2642
Number of pages13
JournalIEEE Transactions on Parallel and Distributed Systems
Issue number10
Publication statusPublished - 1 Oct 2015


  • Automata
  • Base stations
  • Computers
  • Lasers
  • Pistons
  • Safety
  • Wireless communication

ASJC Scopus subject areas

  • Signal Processing
  • Hardware and Architecture
  • Computational Theory and Mathematics


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