摘要
无线传感器执行器网络中,事件增多导致执行器调度难度加大。针对上述问题,提出离散多目标优化Cuckoo Search算法,以任务响应时间、能量消耗、网络能量均衡为目标适应值函数,在WSANs的执行器调度中寻求近似Pareto最优解集。仿真研究表明:所提算法可以有效实现执行器的合理调度,在任务响应时间、能量消耗和网络生命期方面优于归一化算法。
In wireless sensor and actor networks,as the number of the events increased,it became very difficult to schedulethe actors. To deal with the problem,discrete multi-objective optimization Cuckoo Search algorithm for actor selection decisionwas proposed. Task reaction time,energy consumption and network energy balance were used as multi-objective fitness functionsfor an approximate Pareto optimal solution set in the process of actor scheduling. The simulation results show that the proposed al-gorithm can effectively realize the reasonable scheduling of actors. The proposed algorithm is better than other algorithms in taskreaction time,energy consumption and network lifetime.
出处
《仪表技术与传感器》
CSCD
北大核心
2018年第2期145-150,共6页
Instrument Technique and Sensor
基金
国家自然科学基金项目(61501264)
关键词
无线传感器执行器网络
执行器调度
多目标优化
CS算法
wireless sensor and actor network
actor scheduling
multi-objective optimization
CS algorithm
