摘要
针对无线传感网络的节点部署问题,提出基于花朵授粉算法的节点部署(FP-based node deployment,FPNP)算法。FPNP算法将节点部署问题转化为多目标优化问题,利用花朵授粉算法求解该优化问题。FPNP算法通过平衡多个目标函数,实现节点位置的优化。仿真结果表明:相比于粒子群算法,FPNP算法在能耗、网络寿命方面具有明显的优势。
For nodes deployment in Wireless Sensor Networks,flow pollinate-based node deployment algorithm was proposed.Nodes deployment was formulated as multi-objective optimization problem.Then,the optimization problem was solved by flow pollinate algorithm.This new method aims to approximate optimal trade-offs among multiple objective functions.This approach aims to find the sensor nodes optimal positions.Simulation results show that FPNP algorithm outperforms particle swarm optimization algorithm in terms of energy consumption and network lifetime.
作者
钱建新
施沈科
何燕
冯佳俊
徐会彬
成新民
QIAN Jianxin;SHI Shenke;HE Yan;FENG Jiajun;XU Huibin;CHENG Xinmin(Huzhou Special Equipment Inspection Research Institute, Huzhou 313000, China;College of Information and Engineering, Huzhou University, Huzhou 313000, China)
出处
《兵器装备工程学报》
CAS
北大核心
2020年第6期174-177,共4页
Journal of Ordnance Equipment Engineering
基金
院立项目“基于数据融合的压力管道定位及三维显示系统的研制”(083-20190801.002)。
关键词
无线传感网络
节点部署
多目标优化
花朵授粉
能耗
Wireless Sensor Networks
node deployment
multi objective optimization
flow pollinate
energy consumption
