Research On Task Collaboration And Resource Optimization Strategy In Virtualized Wireless Sensor Networks

The problem of low resource utilization in traditional Wireless Sensor Network(WSN)has been improved by virtualization technology,which provides a foundation for the diversified development of Internet of Things(Io T)applications.However,due to the limited processing capacity and energy of sensor nodes,it is difficult to guarantee the Quality of Service(QoS)of applications with resource competition relationship,which seriously restricts the actual deployment and operation of virtualized WSN.In order to meet the application delay requirement and prolong the life of network under the resource competition environment,it is necessary to optimize the task allocation and resource scheduling strategies for providing continuous high-quality network service.Therefore,this dissertation studies the task collaboration strategy of latency guarantee and resource optimization strategy of energy consumption aware in virtualized WSN.Firstly,the research background of virtualized WSN is introduced from the limitations of traditional WSN.Then,the virtualized WSN architecture and application scenarios are described,and the potential challenges are concluded.Moreover,the existing research schemes and key technologies are analyzed.Secondly,for the poor QoS of applications under the environment of resource competition,the task collaboration strategy of latency guarantee in virtualized WSN is proposed.Specifically,an improved framework considering the rewards of suppliers,operators and buyers is built.In the case of single application,the relationship between the Latency Violation Probability(LVP)of network and transmission capacity of sensor nodes is described based on the effective capacity theory.Then,a task assignment scheme is obtained by the method of multi-dimensional binary search.In the case of multiple applications,the priority queuing mechanism is adopted to establish service models of heterogeneous delay requirements.Further,the operating rewards of suppliers and operators are studied,respectively.In addition,from both real-time and long-term perspectives,the factor that control sensor node activation is introduced to optimize the network operating reward under the differentiated delay requirements of applications.Thirdly,for the issue of booming energy consumption caused by concurrent requests,the resource optimization strategy of energy consumption aware in virtualized WSN is proposed.Specifically,Wireless Energy Transmission(WET)technology is introduced to supplement the energy of sensor nodes,and a Radio Frequency(RF)powered sensor communication model is constructed.This work also analyses that network energy consumption is consist of data sensing,energy harvesting and data transmission,as well as its influencing factors.Based on the optimization theory and task coordination strategy,the joint optimization of the data sensing frequency,the time slot configuration of energy harvesting and data transmission,and transmission power of sensor nodes is realized.Hence,this strategy reduces the network energy consumption when node resources are contended.The simulation results are depicted that the proposed strategies can effectively improve the operation reward of the network,guarantee the latency of the applications,alleviate the problem of increased energy consumption.Also,some theoretical opinions are put forward for the future stable operation of virtualized WSN.