TY - GEN
T1 - Enhanced brain storm optimization algorithm for wireless sensor networks deployment
AU - Chen, Junfeng
AU - Cheng, Shi
AU - Chen, Yang
AU - Xie, Yingjuan
AU - Shi, Yuhui
N1 - Publisher Copyright:
© Springer International Publishing Switzerland 2015.
PY - 2015
Y1 - 2015
N2 - Brain storm optimization is a young and promising swarm intelligence algorithm, which simulates the human brainstorming process. The convergent operation and divergent operation are two basic operators of the brain storm optimization. The k means clustering is utilized in the original brain storm optimization, which needs to define the k value before the search. To adaptively change the number of clusters during the search, a modified Affinity Propagation (AP) clustering method and an enhanced creating strategy are proposed on account of the structure information of single or multiple clusters. In addition, the modified brain storm optimization is applied to optimize the dynamic deployments of two different wireless sensor networks (WSN). Experimental results show that the proposed algorithm achieves satisfactory results and guarantees a high coverage rate.
AB - Brain storm optimization is a young and promising swarm intelligence algorithm, which simulates the human brainstorming process. The convergent operation and divergent operation are two basic operators of the brain storm optimization. The k means clustering is utilized in the original brain storm optimization, which needs to define the k value before the search. To adaptively change the number of clusters during the search, a modified Affinity Propagation (AP) clustering method and an enhanced creating strategy are proposed on account of the structure information of single or multiple clusters. In addition, the modified brain storm optimization is applied to optimize the dynamic deployments of two different wireless sensor networks (WSN). Experimental results show that the proposed algorithm achieves satisfactory results and guarantees a high coverage rate.
KW - Affinity propagation
KW - Brain Storm Optimization
KW - Structure information
KW - Wireless sensor networks
UR - https://www.scopus.com/pages/publications/84947729160
U2 - 10.1007/978-3-319-20466-6_40
DO - 10.1007/978-3-319-20466-6_40
M3 - Conference Proceeding
AN - SCOPUS:84947729160
SN - 9783319204659
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 373
EP - 381
BT - Advances in Swarm and Computational Intelligence - 6th International Conference, ICSI 2015 held in conjunction with the 2nd BRICS Congress, CCI 2015, Proceedings
A2 - Gelbukh, Alexander
A2 - Tan, Ying
A2 - Das, Swagatam
A2 - Engelbrecht, Andries
A2 - Buarque, Fernando
A2 - Shi, Yuhui
PB - Springer Verlag
T2 - 6th International Conference on Swarm Intelligence, ICSI 2015 held in conjunction with the 2nd BRICS Congress on Computational Intelligence, CCI 2015
Y2 - 25 June 2015 through 28 June 2015
ER -