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- Title
New parallel swarm algorithm for smart sensor systems redundancy allocation problems in the Internet of Things.
- Authors
Yeh, Wei-Chang; Lin, Jsen-Shung
- Abstract
In recent years, various smart sensor systems have been integrated into the “Internet of Things (IOT)” with the advancement of sensing technology. A redundancy allocation is the safest, most convenient, and most economical way to increase the reliability of smart sensor systems. To solve the smart sensor systems redundancy allocation problem (RAP) in IOT, a cooperative parallel simplified swarm algorithm (pSSO) is presented in this study. This pilot study includes several innovative points. First, research is conducted to use the RAP in IOT. Second, the proposed pSSO is the first parallel algorithm to solve the RAP and the first one to parallelize the simplified swarm optimization (SSO) with the Taguchi method. A simple real-life example regarding shopping and shipping in TAOBAO is given to describe the way how to model the IOT used the RAP. As proof of the success of the proposed pSSO, detailed computational results from solving a series-parallel redundancy allocation problem with a mix of components is presented. The computational results reflect the efficiency of the pSSO proposed.
- Subjects
INTELLIGENT sensors; INTERNET of things; SOFT computing; TAGUCHI methods; MATHEMATICAL optimization
- Publication
Journal of Supercomputing, 2018, Vol 74, Issue 9, p4358
- ISSN
0920-8542
- Publication type
Article
- DOI
10.1007/s11227-016-1903-8