A new internet of things group search optimizer. (24th October 2014)
- Record Type:
- Journal Article
- Title:
- A new internet of things group search optimizer. (24th October 2014)
- Main Title:
- A new internet of things group search optimizer
- Authors:
- Feng, Xiang
Liu, Xiaoting
Yu, Huiqun - Abstract:
- Summary: The development of the Internet of Things brings new opportunities and challenges for sensor networks. The scale of sensor networks tends to be larger. And the fusion rules need to be intelligent. In this paper, we propose a new Internet of Things group search optimizer (ITGSO) to solve intelligent information fusion problems in the high‐dimensional multi‐sensor networks. ITGSO is inspired by the latest research achievement about leader decision in Nature and works about social coordination, which mainly consists of three parts: basic group search optimizer, binary group search optimizer, and social decision model . With ITGSO, we need less time to obtain minimum Bayes cost than particle swarm optimization. And information of uncertain social intelligent problems can be fused. In this paper, we give the theoretical basic of ITGSO and proved its validity via mathematical analysis and simulation results. Copyright © 2014 John Wiley & Sons, Ltd. Abstract : In this paper, we propose a new Internet of Things group search optimizer (ITGSO) to solve intelligent information fusion problems in the high‐dimensional multi‐sensor networks. ITGSO is inspired by the latest research achievement about leader decision in Nature and works about social coordination, which mainly consists of three parts: basic group search optimizer, binary group search optimizer, and social decision model . The purpose of this paper is to provide a new algorithm for intelligent decision problem inSummary: The development of the Internet of Things brings new opportunities and challenges for sensor networks. The scale of sensor networks tends to be larger. And the fusion rules need to be intelligent. In this paper, we propose a new Internet of Things group search optimizer (ITGSO) to solve intelligent information fusion problems in the high‐dimensional multi‐sensor networks. ITGSO is inspired by the latest research achievement about leader decision in Nature and works about social coordination, which mainly consists of three parts: basic group search optimizer, binary group search optimizer, and social decision model . With ITGSO, we need less time to obtain minimum Bayes cost than particle swarm optimization. And information of uncertain social intelligent problems can be fused. In this paper, we give the theoretical basic of ITGSO and proved its validity via mathematical analysis and simulation results. Copyright © 2014 John Wiley & Sons, Ltd. Abstract : In this paper, we propose a new Internet of Things group search optimizer (ITGSO) to solve intelligent information fusion problems in the high‐dimensional multi‐sensor networks. ITGSO is inspired by the latest research achievement about leader decision in Nature and works about social coordination, which mainly consists of three parts: basic group search optimizer, binary group search optimizer, and social decision model . The purpose of this paper is to provide a new algorithm for intelligent decision problem in Internet of Things. … (more)
- Is Part Of:
- International journal of communication systems. Volume 29:Number 3(2016)
- Journal:
- International journal of communication systems
- Issue:
- Volume 29:Number 3(2016)
- Issue Display:
- Volume 29, Issue 3 (2016)
- Year:
- 2016
- Volume:
- 29
- Issue:
- 3
- Issue Sort Value:
- 2016-0029-0003-0000
- Page Start:
- 535
- Page End:
- 552
- Publication Date:
- 2014-10-24
- Subjects:
- Internet of Things group search optimizer -- sensor network -- binary group search optimizer -- leader decision
Telecommunication systems -- Periodicals
621.382 - Journal URLs:
- http://onlinelibrary.wiley.com/ ↗
- DOI:
- 10.1002/dac.2891 ↗
- Languages:
- English
- ISSNs:
- 1074-5351
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4542.172515
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 2759.xml