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Sensors 2017, 17(3), 544; doi:10.3390/s17030544

Testing a Firefly-Inspired Synchronization Algorithm in a Complex Wireless Sensor Network

Key Laboratory of Biomimetic Robots and Systems (Ministry of Education), Beijing Institute of Technology, Beijing 100081, China
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Academic Editors: Maria Gabriella Xibilia, Alex Alexandridis and Elias N. Zois
Received: 5 December 2016 / Revised: 28 February 2017 / Accepted: 5 March 2017 / Published: 8 March 2017
(This article belongs to the Special Issue Soft Sensors and Intelligent Algorithms for Data Fusion)
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Abstract

Data acquisition is the foundation of soft sensor and data fusion. Distributed data acquisition and its synchronization are the important technologies to ensure the accuracy of soft sensors. As a research topic in bionic science, the firefly-inspired algorithm has attracted widespread attention as a new synchronization method. Aiming at reducing the design difficulty of firefly-inspired synchronization algorithms for Wireless Sensor Networks (WSNs) with complex topologies, this paper presents a firefly-inspired synchronization algorithm based on a multiscale discrete phase model that can optimize the performance tradeoff between the network scalability and synchronization capability in a complex wireless sensor network. The synchronization process can be regarded as a Markov state transition, which ensures the stability of this algorithm. Compared with the Miroll and Steven model and Reachback Firefly Algorithm, the proposed algorithm obtains better stability and performance. Finally, its practicality has been experimentally confirmed using 30 nodes in a real multi-hop topology with low quality links. View Full-Text
Keywords: wireless sensor networks; firefly-inspired algorithm; coupling strength; multiscale model; stochastic coupling wireless sensor networks; firefly-inspired algorithm; coupling strength; multiscale model; stochastic coupling
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Hao, C.; Song, P.; Yang, C.; Liu, X. Testing a Firefly-Inspired Synchronization Algorithm in a Complex Wireless Sensor Network. Sensors 2017, 17, 544.

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