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基于区间多目标量子文化算法的无线传感器网络覆盖能效优化

DOI: 10.13195/j.kzyjc.2013.1398, PP. 425-432

Keywords: 区间感知模型,多目标量子文化算法,无线传感器网络,可能度占优

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Abstract:

针对不确定环境下无线传感器网络覆盖能效优化问题,提出一种传感器节点区间感知模型;进而考虑网络覆盖率和节点冗余率,将其转化为区间多目标优化问题.基于一种新型区间个体依可能度占优关系,提出区间多目标量子文化算法,根据区间占优个体信息提取隐含知识,用于指导量子个体更新及进化个体变异与选择.不同环境下的仿真结果表明:基于所提出算法获得的Pareto解具有更好的收敛性、分布性和延展性;相应的无线传感器网络布局更合理.

References

[1]  Dargie W, Poellabauer C. Fundamentals of wireless sensor networks: Theory and practice[M]. Chichester: JohnWiley and Sons, 2010.
[2]  Charkrabarty K, Iyengar U, Qi H, et al. Coding theory framework for target location in distributed sensor networks[C]. Proc of International Symposium on Information Technology: Coding and Computing. Las Vegas, 2001: 130-134.
[3]  Dhillon S S, Chakrabarty K, Iyengar S S. Sensor placement for grid coverage under imprecise detection[C]. Proc of Int Conf on Information Fusion. Annapolis: Loews Annapolis Hotel, 2002: 1581-1587.
[4]  Wang B,WangW, Srinivasan V, et al. Information coverage for wireless sensor networks[J]. IEEE Communications Letters, 2005, 9(11): 967-969.
[5]  王瑞, 曹文明, 谢维信. 传感器网络模糊覆盖[J]. 仪器仪表学报, 2009, 30(5): 954-959.
[6]  (Wang R, Cao W M, Xie W X. Fuzzy coverage for sensor networks[J]. Chinese J of Scientific Instrument, 2009, 30(5): 954-959.)
[7]  Philipp L, Daniel E S. An Optimization Algorithm for Imprecise Multi-objective Problem Functions[C]. Proc of the IEEE Congress on Evolutionary Computation. Edinburgh: IEEE Press, 2005: 459-466.
[8]  Coello C, Carlos A, Becerra R L. Evolutionary multiobjective optimization using a cultural algorithm[C]. IEEE Swarm Intelligence Symposium. Indiana: IEEE Press, 2003: 6-13.
[9]  Eskandari H, Geiger C D, Bird R. Handling uncertain in evolutionary multi-objective optimization: SPGA[C]. Proc of IEEE Congress on Evolutionary Computation. New York: IEEE Press, 2007: 4130-4137.
[10]  Gong D W, Qin N N, Sun X Y. Evolutionary algorithm for multi-objective optimization problems with interval parameters[C]. Int Conf on Intelligent Computing. Changsha, 2010: 411-420.
[11]  Guo Y N, Liu D D, Chen M R, et al. An energy-efficient coverage optimization method for wireless sensor networks based on multi-objective quantum-inspired cultural algorithm[J]. Lecture Notes in Computer Science, 2013(7951): 343-349.
[12]  Chen H, Wu H, Zeng N F T. Grid-based approach for working node selection in wireless sensor networks[C]. IEEE Int Conf on Communciations. Paris, 2004: 3673-3678.
[13]  达庆利, 刘新旺. 区间数线性规划及其满意解[J]. 系统工程理论与实践, 1999, 19(4): 3-7.
[14]  (Da Q L, Liu X W. Interval number linear programming and its satisfactory solution[J]. Systems Engineering-Theory & Practice, 1999, 19(4): 3-7.)
[15]  郭一楠, 刘丹丹, 程健, 等. 一种实数编码量子文化算法[J]. 中南大学学报: 自然科学版, 2011, 42(9): 130-137.
[16]  (Guo Y N, Liu D D, Cheng J, et al. A novel real-coded quantum-inspired cultural algorithm[J]. J of Central South University: Science and Technology, 2011, 42(9): 130-137.)
[17]  张勇, 巩敦卫, 郝国生, 等. 含区间参数多目标系统的微粒群优化算法[J]. 自动化学报, 2008, 34(8): 921-928.
[18]  (Zhang Y, Gong D W, Hao G S, et al. Particle swarm optimization for multi-objective systems with interval parameters[J]. Acta Automatica Sinica, 2008, 34(8): 921-928.)
[19]  Zitzler E, Deb K, Thiele L. Comparison of multi-objective evolutionary algorithms: Empirical results[J]. Evolutionary Computation, 2000, 8(2): 173-195.

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