物联网智能感知节点π网低功耗软硬件划分建模  

Modeling on low power consumption hardware and software partitioning for intelligent sensing nodes of Internet of things based on π-net

作　　者：刘晓霞[1] 李芳[2] LIU Xiaoxia;LI Fang(Department of Information Engineering,Sichuan Water Conservancy Vocational College,Chongzhou 611231,China;College of Computer Science,Chongqing University,Chongqing 400044,China)

机构地区：[1]四川水利职业技术学院信息工程系,四川崇州611231 [2]重庆大学计算机学院,重庆400044

出　　处：《工矿自动化》2018年第9期59-66,共8页Journal Of Mine Automation

基　　金：国家自然科学基金(青年科学基金)项目(61701331);四川省教育厅自然科学基金一般项目(18ZB0498);四川省水利厅2017年科研计划项目(SL2017-01)

摘　　要：物联网智能感知节点的低功耗软硬件划分的优劣直接影响节点的续航能力和网络寿命。针对现有物联网智能感知节点的软硬件划分存在能耗较高的问题,提出了基于π网的物联网智能感知节点的低功耗软硬件划分模型。首先对物联网智能感知节点进行带约束定义,得到智能感知节点的约束模型;然后根据π网理论,建立基于π网的智能感知节点软硬件划分模型,实现依据软硬件IP核功耗和系统总体功耗约束下的低功耗软硬件划分,并对模型进行了演化分析。分析与实验仿真结果表明,与基于禁忌搜索算法和遗传算法的模型相比,该模型在适应度、划分执行时间和最小系统划分能耗等方面具有一定的优越性和实用性,可降低物联网智能感知节点能耗,提高其续航能力。Advantages and disadvantages of low power consumption hardware and software partitioning for intelligent sensing nodes of Internet of Things(IoT)directly affect the endurance and network life of nodes.In view of problem of high energy consumption in hardware and software partitioning of intelligent sensor nodes of IoT,a low power consumption hardware and software partitioning model based onπ-net was proposed.Firstly,the intelligent sensor nodes of IoT was defined with constraints,and the constrained model of the intelligent sensor nodes was obtained.Then,the hardware and software partitioning model of intelligent sensing nodes based onπ-net was established by using theπ-net theory,and the low power consumption hardware and software partitioning based on IP core power consumption of hardware and software and the overall power consumption constraints of the system were realized,and the model was analyzed for evolution.The analysis and simulation results show that the model has certain advantages and practicability in terms of fitness,execution time division and minimum system partition energy consumption compared with models based on tabu search algorithm and genetic algorithm,which can reduce the energy consumption of intelligent sensing nodes of IoT and improve their endurance.

关 键 词：物联网 智能感知节点 π网 低功耗软硬件划分 续航能力 

分 类 号：TD655[矿业工程—矿山机电]