摘要
应用和声搜索算法解决无线传感器网络中低延迟和低能耗两方面性能指标的双目标优化问题。首先分析网络中延迟和能耗模型,建立目标函数。其次在找寻最优路径时,采用基于优先级的路径编码方案,迭代更新和声记忆库。最后在Matlab仿真环境下对100个节点的网络进行仿真实验。结果表明:在无线传感器网络传输路径建立中,能耗与延迟因素相互制约,而根据用户对延迟与能耗需求不同,可以控制传感器网络数据传输路径的选择。
Harmony search （HS） algorithm is used to solve low delay and low energy consumption double- objective optimization problem in wireless sensor networks （ WSNs ）. First, analyze delay and energy consumption model, and establish objective function. Then, use priority-based path encoding scheme to update harmony memory iteratively while searching the optimal path. Finally, simulation of 100-node network is carried out by using Matlab. The results show that in setting up transmission path of WSNs, factors of energy consumption and delay interact, it can be controlled according to different users＇ needs of delay and energy consumption.
出处
《传感器与微系统》
CSCD
2015年第1期36-39,共4页
Transducer and Microsystem Technologies
基金
国家自然科学基金资助项目(61463028)
甘肃省高等学校基本科研业务费资助项目(213054)
甘肃省教育厅科研项目(213027)
关键词
无线传感器网络
低延迟
低能耗
和声搜索
优先级
wireless sensor networks （ WSNs ）
low delay
low energy consumption
harmony search （ HS ）
priority
