Resource-aware optimization of modular, cascade detection systems

Long N. Le, Douglas L Jones

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Detection systems in the emerging Internet of Things (IoT) paradigm, unlike existing stovepipe ones, are envisioned to be a platform for multiple applications. As a result, the design for IoT systems often places strong emphasis on modularity, where components can be composed to form various applications. This modular constraint creates new challenges in finding the optimal trade-off between resource consumption and performance of detection systems. This work focuses on the problem of optimizing modular detection systems whose modules are cascade. The solution results in a dynamicprogramming- based algorithm that can optimize cascade detection systems with an arbitrary number of modules. Simulation results on both synthetic and real data confirm the superiority of an optimized system against unoptimized ones.

Original languageEnglish (US)
Title of host publicationProceedings - IEEE International Workshop on Signal Processing Systems, SiPS 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages291-296
Number of pages6
ISBN (Electronic)9781509033614
DOIs
StatePublished - Dec 9 2016
Event2016 IEEE International Workshop on Signal Processing Systems, SiPS 2016 - Dallas, United States
Duration: Oct 26 2016Oct 28 2016

Publication series

NameIEEE Workshop on Signal Processing Systems, SiPS: Design and Implementation
ISSN (Print)1520-6130

Other

Other2016 IEEE International Workshop on Signal Processing Systems, SiPS 2016
CountryUnited States
CityDallas
Period10/26/1610/28/16

Fingerprint

Cascade
Resources
Optimization
Cascades (fluid mechanics)
Internet of Things
Module
Modularity
Internet of things
Trade-offs
Paradigm
Optimise
Arbitrary
Simulation

Keywords

  • Cascade detection system
  • Dynamic programming
  • IoT
  • Modular design
  • Resource-aware

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Signal Processing
  • Applied Mathematics
  • Hardware and Architecture

Cite this

Le, L. N., & Jones, D. L. (2016). Resource-aware optimization of modular, cascade detection systems. In Proceedings - IEEE International Workshop on Signal Processing Systems, SiPS 2016 (pp. 291-296). [7780112] (IEEE Workshop on Signal Processing Systems, SiPS: Design and Implementation). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SiPS.2016.58

Resource-aware optimization of modular, cascade detection systems. / Le, Long N.; Jones, Douglas L.

Proceedings - IEEE International Workshop on Signal Processing Systems, SiPS 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 291-296 7780112 (IEEE Workshop on Signal Processing Systems, SiPS: Design and Implementation).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Le, LN & Jones, DL 2016, Resource-aware optimization of modular, cascade detection systems. in Proceedings - IEEE International Workshop on Signal Processing Systems, SiPS 2016., 7780112, IEEE Workshop on Signal Processing Systems, SiPS: Design and Implementation, Institute of Electrical and Electronics Engineers Inc., pp. 291-296, 2016 IEEE International Workshop on Signal Processing Systems, SiPS 2016, Dallas, United States, 10/26/16. https://doi.org/10.1109/SiPS.2016.58
Le LN, Jones DL. Resource-aware optimization of modular, cascade detection systems. In Proceedings - IEEE International Workshop on Signal Processing Systems, SiPS 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 291-296. 7780112. (IEEE Workshop on Signal Processing Systems, SiPS: Design and Implementation). https://doi.org/10.1109/SiPS.2016.58
Le, Long N. ; Jones, Douglas L. / Resource-aware optimization of modular, cascade detection systems. Proceedings - IEEE International Workshop on Signal Processing Systems, SiPS 2016. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 291-296 (IEEE Workshop on Signal Processing Systems, SiPS: Design and Implementation).
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