The Coverage Optimization for Wireless Sensor Networks Based on Quantum- Inspired Cultural Algorithm

[1]  Zabih Ghassemlooy,et al.  A MIMO-ANN system for increasing data rates in organic visible light communications systems , 2013, 2013 IEEE International Conference on Communications (ICC).

[2]  Hongyi Wu,et al.  Grid-based approach for working node selection in wireless sensor networks , 2004, 2004 IEEE International Conference on Communications (IEEE Cat. No.04CH37577).

[3]  Di Tian,et al.  A node scheduling scheme for energy conservation in large wireless sensor networks , 2003, Wirel. Commun. Mob. Comput..

[4]  Geber Ramalho,et al.  Ant system for the set covering problem , 2001, 2001 IEEE International Conference on Systems, Man and Cybernetics. e-Systems and e-Man for Cybernetics in Cyberspace (Cat.No.01CH37236).

[5]  Miodrag Potkonjak,et al.  Exposure in wireless Ad-Hoc sensor networks , 2001, MobiCom '01.

[6]  Zheng Jian-guo Novel Quantum-inspired Evolutionary Algorithm and Its Application to Numerical Optimization Problems , 2009 .

[7]  Han Shuang,et al.  Optimal Sensor Node Distribution Based on the New Quantum Genetic Algorithm , 2008 .

[8]  Ajith Abraham,et al.  Quantum-Inspired Evolutionary Algorithm for Numerical Optimization , 2008, Quantum Inspired Intelligent Systems.

[9]  Wang Guang-xinga,et al.  Optimal coverage scheme based on genetic algorithm in wireless sensor networks , 2007 .

[10]  Shijian Li,et al.  International Conference on Information Fusion ( FUSION ) Sensor Deployment Optimization for Detecting Maneuvering Targets , 2006 .

[11]  Xue Wang,et al.  Dynamic Deployment Optimization in Wireless Sensor Networks , 2006 .

[12]  Jiang Jie,et al.  An Algorithm for Minimal Connected Cover Set Problem in Wireless Sensor Networks , 2006 .