Event-driven Real-time Actuator Scheduling Strategy over Wireless Sensor and Actuator Networks

摘要：

　　Delay-time and energy constraints have a significant impact on the design and operation of wireless sensor and actuator networks (WSANs).Aiming for a class of random sudden events,the real-time actuator scheduling strategy is proposed based on the event driven in WSANs.In proposed scheduling strategy,three performance indexes,such as reaction time,energy consumption and energy distribution of whole network are considered at the same time.We translate the actuator scheduling strategy into a multi-objective optimization issue.However,the optimal solution of the multi-objective issues is usually not able to be obtained.To solve the problems,we first obtain the optimal solution of a single objective,and then make each performance index try to be close to own optimization solution via normalizing the evaluation function in order to achieve multi-objective approximate optimization solution.This approach is called the normalization optimization approach.The extended simulations illustrate the proposed actuator scheduling strategy is feasible and effective in WSANs.

关键词： Wireless sensor and actuator networks optimization energy balance cooperation scheduling

作者: Gao Huanli Liu Yonggui

作者单位: Key Laboratory of Autonomous Systems and Network Control,Ministry of Education,South China University of Technology,Guangzhou,P.R.China

会议类型: 国际会议

会议名称: The 33th Chinese Control Conference第33届中国控制会议

会议地点: 南京

会议语种:英文

页码: 439-444

在线出版日期: 2014-07-28（万方平台首次上网日期，不代表论文的发表时间）