Testing a Firefly-Inspired Synchronization Algorithm in a Complex Wireless Sensor Network
AbstractData 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
Scifeed alert for new publicationsNever miss any articles matching your research from any publisher
- Get alerts for new papers matching your research
- Find out the new papers from selected authors
- Updated daily for 49'000+ journals and 6000+ publishers
- Define your Scifeed now
Hao, C.; Song, P.; Yang, C.; Liu, X. Testing a Firefly-Inspired Synchronization Algorithm in a Complex Wireless Sensor Network. Sensors 2017, 17, 544.
Hao C, Song P, Yang C, Liu X. Testing a Firefly-Inspired Synchronization Algorithm in a Complex Wireless Sensor Network. Sensors. 2017; 17(3):544.Chicago/Turabian Style
Hao, Chuangbo; Song, Ping; Yang, Cheng; Liu, Xiongjun. 2017. "Testing a Firefly-Inspired Synchronization Algorithm in a Complex Wireless Sensor Network." Sensors 17, no. 3: 544.
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.