基于随机博弈机制的物联网安全收敛算法研究
|
摘要
为解决当前物联网安全收敛算法存在的节点覆盖区域冲突,读写性能不强,难以解决信号干涉等不足,本文提出了基于随机博弈机制的物联网安全收敛算法。首先,采取信号正交调节方式,确定信道发射过程中最佳信噪比性能,且通过随机博弈方式进一步调节节点覆盖半径,降低因节点间频率干涉而导致的覆盖区域冲突及读写性能不强等问题,改善了节点间因工作频段相似而导致频率干涉问题;随后,考虑到单纯通过调节节点覆盖半径方式存在的精确化程度不够的问题,采取调整节点发射过程中时间戳读写的措施,构建时间戳读写规避机制,通过调整物联网节点进行信道发射过程中的时间窗口,实现对发射信号的精确传送,进一步降低了信号干涉发射的概率。仿真实验表明:与当前广泛部署的节点能量感知退避算法(Node Energy Aware Backoff Algorithm,NEAB机制),时间窗口感知调整算法(Time Window Aware Adjustment Algorithm,TW2A机制)相比,本文收敛算法具有更小的网络完全收敛时间与节点读写时间,以及更少的单节点最大收敛次数,具有很强的实际部署价值。
In order to solve the current security convergence algorithm of Internet of Things(IOT) problems such as node coverage area conflict, poor read-write performance, difficult to accurately adjust and solve the signal interference, this paper proposes a stochastic game-based security convergence algorithm for IOT. Firstly, signal orthogonal adjustment is adopted to determine the optimal SNR performance in the process of channel transmission, and the coverage radius of nodes is further adjusted by stochastic game method, which significantly reduces the coverage area conflict and poor read-write performance caused by frequency interference between nodes, and improves the similarity of working frequency bands between nodes. Then, considering the inadequate accuracy of the method of simply adjusting the node coverage radius, we take measures to adjust the timestamp reading and writing in the process of node launching, construct a timestamp reading and writing avoidance mechanism, and adjust the time window of the nodes of IOT in the process of channel launching. The accurate condition of launching process is realized, and the probability of signal interference emission is further reduced.Simulation results show that compared with the widely deployed Node Energy Aware Backoff Algorithm(NEAB)and Time Window Adjustment Algorithm(TW2 A), the proposed algorithm has shorter network convergence time,node read-write time, and single node write time. Node convergence frequency is small, channel noise convergence capture performance is excellent, thus the proposed algorithm has a strong practical deployment value.
In order to solve the current security convergence algorithm of Internet of Things(IOT) problems such as node coverage area conflict, poor read-write performance, difficult to accurately adjust and solve the signal interference, this paper proposes a stochastic game-based security convergence algorithm for IOT. Firstly, signal orthogonal adjustment is adopted to determine the optimal SNR performance in the process of channel transmission, and the coverage radius of nodes is further adjusted by stochastic game method, which significantly reduces the coverage area conflict and poor read-write performance caused by frequency interference between nodes, and improves the similarity of working frequency bands between nodes. Then, considering the inadequate accuracy of the method of simply adjusting the node coverage radius, we take measures to adjust the timestamp reading and writing in the process of node launching, construct a timestamp reading and writing avoidance mechanism, and adjust the time window of the nodes of IOT in the process of channel launching. The accurate condition of launching process is realized, and the probability of signal interference emission is further reduced.Simulation results show that compared with the widely deployed Node Energy Aware Backoff Algorithm(NEAB)and Time Window Adjustment Algorithm(TW2 A), the proposed algorithm has shorter network convergence time,node read-write time, and single node write time. Node convergence frequency is small, channel noise convergence capture performance is excellent, thus the proposed algorithm has a strong practical deployment value.
引文
[1]Yong A G,Hong B Z,Long X Y.Smart Service System(SSS):A Novel Architecture Enabling Coordination of Heterogeneous Networking Technologies and Devices for Internet of Things[J].Chinese Journal of Electronics,2017,14(03):130-144.
[2]Wu Q L,Liang Y.Factors Acquisition and Content Estimation of Farmland Soil Organic Carbon Based upon Internet of Things[J].Chinese Geographical Science,2017,27(3):431-440.
[3]Wang Y B,Gong B.Trust Attestation Mechanism for the Sensing Layer Nodes of Internet of Things[J].Wuhan University Journal of Natural Sciences,2017,22(4):337-345.
[4]Zhi P C,Anu B,Wei T T.Guest Editorial:Special Issue on Internet of Things[J].Tsinghua Science and Technology,2017,22(4):343-344.
[5]Catalina A S,Mihaela C.Distributed Algorithms for Event Reporting in Mobile-Sink WSNs for Internet of Things[J].Tsinghua Science and Technology,2017,22(4):413-426.
[6]Liu X Y,Jiang J.SINR Driven Joint Network Selection Policy in the Heterogeneous Internet of Things[J].Chinese Journal of Electronics,2017,26(4):842-848.
[7]马荣飞.基于物联网技术网络自适应移动节点资源监测研究[J].计算机工程与设计,2012,33(5):1725-1728.
[8]Ma R F.Research on the Monitoring of Adaptive Mobile Node Resources Based on Internet of Things Technology[J].Computer Engineering and Design,2012,33(5):1725-1728.
[9]杨斌,郝杨杨.面向监测应用的传感网节点布局方法研究[J].计算机工程与科学,2014,36(7):1255-1261.
[10]Yang B,Hao Y Y.Study on the Layout of the Internet of Things for Monitoring Applications[J].Computer Engineering and Science,2014,36(7):1255-1261.
[11]Zhen X L.A Survey on Data Dissemination in Wireless Sensor Networks[J].Journal of Computer Science&Technology,2014,3(11):470-486.
[12]Bei G,Yu B W.A Trusted Attestation Mechanism for the Sensing Nodes of Internet of Things Based on Dynamic Trusted Measurement[J].Chinese Geographical Science,2018,15(2):100-121.
[13]Ding Z,Ching C C,George Y Z.Enabling Industrial Internet of Things(IIoT)towards an emerging smart energy system[J].Global Energy Interconnection,2018,1(1):39-47.
[14]Shen W Z,Wang S Y,NagiE B E.Design of Greenhouse Environment Control System Based on Internet of Things[J].Journal of Northeast Agricultural University(English Edition),2018,25(2):54-64.
[15]Wu Z,Liu L H.A Community Health Service Architecture Based on the Internet of Things on Health-Care[J].Chinese Journal of Biomedical Engineering,2016,25(3):114-120.
[2]Wu Q L,Liang Y.Factors Acquisition and Content Estimation of Farmland Soil Organic Carbon Based upon Internet of Things[J].Chinese Geographical Science,2017,27(3):431-440.
[3]Wang Y B,Gong B.Trust Attestation Mechanism for the Sensing Layer Nodes of Internet of Things[J].Wuhan University Journal of Natural Sciences,2017,22(4):337-345.
[4]Zhi P C,Anu B,Wei T T.Guest Editorial:Special Issue on Internet of Things[J].Tsinghua Science and Technology,2017,22(4):343-344.
[5]Catalina A S,Mihaela C.Distributed Algorithms for Event Reporting in Mobile-Sink WSNs for Internet of Things[J].Tsinghua Science and Technology,2017,22(4):413-426.
[6]Liu X Y,Jiang J.SINR Driven Joint Network Selection Policy in the Heterogeneous Internet of Things[J].Chinese Journal of Electronics,2017,26(4):842-848.
[7]马荣飞.基于物联网技术网络自适应移动节点资源监测研究[J].计算机工程与设计,2012,33(5):1725-1728.
[8]Ma R F.Research on the Monitoring of Adaptive Mobile Node Resources Based on Internet of Things Technology[J].Computer Engineering and Design,2012,33(5):1725-1728.
[9]杨斌,郝杨杨.面向监测应用的传感网节点布局方法研究[J].计算机工程与科学,2014,36(7):1255-1261.
[10]Yang B,Hao Y Y.Study on the Layout of the Internet of Things for Monitoring Applications[J].Computer Engineering and Science,2014,36(7):1255-1261.
[11]Zhen X L.A Survey on Data Dissemination in Wireless Sensor Networks[J].Journal of Computer Science&Technology,2014,3(11):470-486.
[12]Bei G,Yu B W.A Trusted Attestation Mechanism for the Sensing Nodes of Internet of Things Based on Dynamic Trusted Measurement[J].Chinese Geographical Science,2018,15(2):100-121.
[13]Ding Z,Ching C C,George Y Z.Enabling Industrial Internet of Things(IIoT)towards an emerging smart energy system[J].Global Energy Interconnection,2018,1(1):39-47.
[14]Shen W Z,Wang S Y,NagiE B E.Design of Greenhouse Environment Control System Based on Internet of Things[J].Journal of Northeast Agricultural University(English Edition),2018,25(2):54-64.
[15]Wu Z,Liu L H.A Community Health Service Architecture Based on the Internet of Things on Health-Care[J].Chinese Journal of Biomedical Engineering,2016,25(3):114-120.