检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
出 处:《郑州大学学报(工学版)》2015年第3期6-10,共5页Journal of Zhengzhou University(Engineering Science)
基 金:国家自然科学基金资助项目(60973094)
摘 要:针对资源有限的无线传感器网络目标跟踪问题,采用一种基于能量平衡的最优分布式成簇机制,为此引入了基于节点剩余能量标准差的能量平衡指标,将其转化为多目标约束优化问题,并采用二进制粒子群优化算法求取最优解.Matlab仿真结果表明,与基于能耗和扩展卡尔曼滤波的成簇机制相比,采用基于能量平衡的最优成簇机制能在保证跟踪精度和能量平衡的前提下,提高网络寿命近2倍,从而有效地延长了网络寿命.Focusing on the target tracking problem in resource-constrained wireless sensor networks, a novel energy-balanced optimal distributed clustering mechanism is adopted by introducing an energy-balanced index based on the standard deviation of residual energy of nodes. Then, it is transformed into a multi-objective constrained optimization problem, and a binary particle swarm optimization algorithm is employed to solve this problem. Simulation results in Matlab environment show that the energy-balanced optimal distributed clustering mechanism guarantees energy balance and tracking accuracy comparing with the clustering mechanisms respectively based on the energy consumption and the extended Kalman filter, and that it improves the network lifetime of nearly 2-fold, effectively prolonging the network lifetime.
关 键 词:无线传感器网络 目标跟踪 能量平衡 成簇 网络寿命
分 类 号:TP393[自动化与计算机技术—计算机应用技术]
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.33