摘要
针对数字化车间中无线传感器网络(WSNs)对数据采集频率高,能量消耗快,提出了基于网格和虚拟力导向的蚁群优化(Grid-VFACO)高能效WSNs路由算法。该算法根据最优簇首数将数据采集区划分成网格,在网格中采用基于候选者的机制选择簇首,实现簇首均匀分布。在簇首形成的上层网络中,利用节点间的虚拟吸引力作为蚁群算法中转移概率规则启发因子,寻找最优数据转发路径。仿真实验结果表明:该算法能够有效减少网络能耗,保证数字化车间WSNs长时间稳定地工作。
Aiming at high data acquisition frequency, fast energy consumption of wireless sensor network- s（WSNs） in digital workshop,propose energy-efficient WSNs routing algorithm based on grid and virtual force ant colony optimization（ Grid-VFACO ）. The data collection region is divided into grid according to the optimal number of cluster head, the head is selected based on candidate mechanism to achieve uniform distribution. On the upper network of cluster head, using virtual attraction between nodes as transition probability rule inspired factor in ant colony algorithm to find the optimal path of data forwarding. The simulation results show that the algorithm can reduce energy consumption, and ensure WSNs work stably in digital workshop for a long time.
出处
《传感器与微系统》
CSCD
北大核心
2014年第1期134-136,140,共4页
Transducer and Microsystem Technologies
基金
国家高技术研究发展计划资助项目(2013AA040405)
江苏省产学研联合创新资金资助项目(BY2012055)
关键词
数字化车间
无线传感器网络
网格
虚拟力
蚁群优化
路由算法
digital workshop
wireless sensor networks （ WSNs ）
grid
virtual force
ant colony optimization （ACO）
routing algorithm
