CAJ | 학술논문

针对大规模传感器网络节点异构性突出、调度困难，传统节点调度算法在大规模传感器网络环境下效率低等问题，提出了基于云计算的节点调度模型，并设计了该模型下的节点调度改进算法。通过将节点算法的执行迁移至云端，由云端调度节点。通过OMnet＋＋对改进算法与云端融合数据处理进行仿真实验表明：改进算法可以有效地延长网络生存周期，并且随着数据量的增加，云端处理融合数据耗时相对平稳。相比较传统节点调度算法，改进算法在能量与耗时指标上表现更优。
침대대규모전감기망락절점이구성돌출、조도곤난，전통절점조도산법재대규모전감기망락배경하효솔저등문제，제출료기우운계산적절점조도모형，병설계료해모형하적절점조도개진산법。통과장절점산법적집행천이지운단，유운단조도절점。통과OMnet＋＋대개진산법여운단융합수거처리진행방진실험표명：개진산법가이유효지연장망락생존주기，병차수착수거량적증가，운단처리융합수거모시상대평은。상비교전통절점조도산법，개진산법재능량여모시지표상표현경우。
Aiming at problems of nodes heterogeneity prominent,scheduling difficulities and low efficiency of traditional node schedule algorithm in large-scale wireless sensor networks( WSNs),put forward a model for nodes schedule and an improved nodes schedule algorithm. Execution of the node algorithm is immigrated to cloud and the nodes are scheduled by cloud. The simulation experiments shows that the improved algorithm can prolong lifetime of networks efficiently and with increasing of amount of data,time consuming of fusion data cloud processing is relatively stable. The improved algorithm works better on energy and time consuming,compared with traditional nodes schedule algorithm.