TY - GEN
T1 - Firefly-Inspired Synchronicity Algorithm with Self-Adaption Coupling Coefficient
AU - Hao, Chuangbo
AU - Song, Ping
AU - Liu, Xiongjun
AU - Pan, Zhiqiang
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2016/5/18
Y1 - 2016/5/18
N2 - Synchronicity is the base of sleep and superframe, used by many protocols in WSN. Distributed synchronicity algorithm become popular in rubust WSN, due to the unstratified topological structure and low computational complexity. The firefly-inspired synchronicity algorithm (FSA), as the typical algorithm of distributed synchronicity, usually needs a large coupling coefficient for accelerating convergence. However, a large coupling coefficient may lead instability and inaccuracy. So, this paper proposes a novel self-adaption coupling coefficient firefly-inspired synchronicity algorithm, aiming at a fast and accurate synchronicity. This algorithm is evaluated by simulation. The results show that it can speed up the time cost by synchronicity process obviously.
AB - Synchronicity is the base of sleep and superframe, used by many protocols in WSN. Distributed synchronicity algorithm become popular in rubust WSN, due to the unstratified topological structure and low computational complexity. The firefly-inspired synchronicity algorithm (FSA), as the typical algorithm of distributed synchronicity, usually needs a large coupling coefficient for accelerating convergence. However, a large coupling coefficient may lead instability and inaccuracy. So, this paper proposes a novel self-adaption coupling coefficient firefly-inspired synchronicity algorithm, aiming at a fast and accurate synchronicity. This algorithm is evaluated by simulation. The results show that it can speed up the time cost by synchronicity process obviously.
KW - Firefly-inspired algorithm
KW - WSN synchronicity
KW - coupling coefficient
KW - rubust synchronicity
UR - http://www.scopus.com/inward/record.url?scp=84977644714&partnerID=8YFLogxK
U2 - 10.1109/CCITSA.2015.36
DO - 10.1109/CCITSA.2015.36
M3 - Conference contribution
AN - SCOPUS:84977644714
T3 - Proceedings - 2015 1st International Conference on Computational Intelligence Theory, Systems and Applications, CCITSA 2015
SP - 77
EP - 81
BT - Proceedings - 2015 1st International Conference on Computational Intelligence Theory, Systems and Applications, CCITSA 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 1st International Conference on Computational Intelligence Theory, Systems and Applications, CCITSA 2015
Y2 - 10 December 2015 through 12 December 2015
ER -