@inproceedings{5d4d6b50ceca46a499575e1ec15c6ec0,
title = "Resource-aware optimization of modular, cascade detection systems",
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.",
keywords = "Cascade detection system, Dynamic programming, IoT, Modular design, Resource-aware",
author = "Le, {Long N.} and Jones, {Douglas L}",
year = "2016",
month = dec,
day = "9",
doi = "10.1109/SiPS.2016.58",
language = "English (US)",
series = "IEEE Workshop on Signal Processing Systems, SiPS: Design and Implementation",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "291--296",
booktitle = "Proceedings - IEEE International Workshop on Signal Processing Systems, SiPS 2016",
address = "United States",
note = "2016 IEEE International Workshop on Signal Processing Systems, SiPS 2016 ; Conference date: 26-10-2016 Through 28-10-2016",
}