A Novel Bioinspired Multiobjective Optimization Algorithm for Designing Wireless Sensor Networks in the Internet of Things
Joint Authors
Huang, Jun
Xu, Liqian
Duan, Qiang
Xing, Congcong
Source
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-08-04
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Abstract EN
The design of wireless sensor networks (WSNs) in the Internet of Things (IoT) faces many new challenges that must be addressed through an optimization of multiple design objectives.
Therefore, multiobjective optimization is an important research topic in this field.
In this paper, we develop a new efficient multiobjective optimization algorithm based on the chaotic ant swarm (CAS).
Unlike the ant colony optimization (ACO) algorithm, CAS takes advantage of both the chaotic behavior of a single ant and the self-organization behavior of the ant colony.
We first describe the CAS and its nonlinear dynamic model and then extend it to a multiobjective optimizer.
Specifically, we first adopt the concepts of “nondominated sorting” and “crowding distance” to allow the algorithm to obtain the true or near optimum.
Next, we redefine the rule of “neighbor” selection for each individual (ant) to enable the algorithm to converge and to distribute the solutions evenly.
Also, we collect the current best individuals within each generation and employ the “archive-based” approach to expedite the convergence of the algorithm.
The numerical experiments show that the proposed algorithm outperforms two leading algorithms on most well-known test instances in terms of Generational Distance, Error Ratio, and Spacing.
American Psychological Association (APA)
Huang, Jun& Xu, Liqian& Xing, Congcong& Duan, Qiang. 2015. A Novel Bioinspired Multiobjective Optimization Algorithm for Designing Wireless Sensor Networks in the Internet of Things. Journal of Sensors،Vol. 2015, no. 2015, pp.1-16.
https://search.emarefa.net/detail/BIM-1070073
Modern Language Association (MLA)
Huang, Jun…[et al.]. A Novel Bioinspired Multiobjective Optimization Algorithm for Designing Wireless Sensor Networks in the Internet of Things. Journal of Sensors No. 2015 (2015), pp.1-16.
https://search.emarefa.net/detail/BIM-1070073
American Medical Association (AMA)
Huang, Jun& Xu, Liqian& Xing, Congcong& Duan, Qiang. A Novel Bioinspired Multiobjective Optimization Algorithm for Designing Wireless Sensor Networks in the Internet of Things. Journal of Sensors. 2015. Vol. 2015, no. 2015, pp.1-16.
https://search.emarefa.net/detail/BIM-1070073
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1070073