基于物联网技术的扩频通信负荷动态分解仿真  

Dynamic Decomposition Simulation of Spread Spectrum Communication Load Based on Internet of Things Technology

作　　者：周旋[1] ZHOU Xuan(Qianjiang College,Hangzhou Normal University,Hangzhou Zhejiang 310018,China)

机构地区：[1]杭州师范大学钱江学院,浙江杭州310018

出　　处：《计算机仿真》2020年第1期280-283,337,共5页Computer Simulation

摘　　要：物联网技术的迅猛发展,促使物联网应用成为最新的经济增长点。如何对扩频通信负荷进行动态分解,成为当前研究的热点话题。针对以上问题,提出基于物联网技术的扩频通信负荷动态分解方法。首先利用网络中网关节点和传感器的数量对网络进行划分,统一各个区域内的传感器数量。然后对各个区域以网关为节点的目标传感器进行分层处理,分别获取各个传感器的层值,并且将其进行保存。最后改进蚁群算法的启发因子,分别将传感器节点的剩余能量、负荷能量等引入到启发因子中,通过蚁群算法寻找剩余能量最高、负载较少的数据传输路径,进而实现扩频通信负荷的动态分解。通过具体的仿真数据,充分验证了所提方法的综合有效性。With the rapid development of Internet of Things(IoT),the IoT application has been new economic growth point.How to dynamically decompose the spread spectrum communication load has become a hot topic in cur-rent research.In this paper,a dynamic decomposition method of spread spectrum communication load based on IoT was presented.Firstly,the network was divided by the number of gateway nodes and sensors in the network.And then,the number of sensors in each area was unified.After that,the target sensors taking gateways as nodes were layered,and the layer values of all the sensors were obtained and stored.Finally,the heuristic factor of ant colony al-gorithm was improved.Meanwhile,the residual energy and load energy of sensor node were introduced into the heu-ristic factor.The ant colony algorithm was used to find the data transmission path with the highest residual energy and less load,and thus to achieve the dynamic decomposition of spread spectrum communication load.The comprehensive effectiveness of the proposed method can be fully verified by the specific simulation data.

关 键 词：物联网技术 扩频通信 负荷动态分解 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]