CAJ | 학술논문

由于目的节点和源节点之间不存在一条完整的通信链路，因此机会网络是通过利用节点的移动带来的相遇机会以“存储-携带-转发”的形式实现节点之间通信的一种移动网络。虽然机会网络的通信延迟较大，但是在一些无法建立完整的通信链路的环境中（如手持设备组网和车载网络中）机会网络能更好地满足一些基本需求。而在机会网络研究中搭建现实场景基本上是不可能的或者代价过高，因此主要是通过做仿真实验来再现现实环境，而模拟节点运动的移动模型是仿真研究的重要基础。特别是在手持设备机会网络中，移动模型对现实的模拟程度，将在很大程度上影响下一步的研究，因此不少学者基于社会复杂网络提出了一些不错的移动模型。文章在最近研究的基础上了提出了社区层次的概念，提出了一种基于社区层次的移动模型，从社区的层次角度分析了节点的相同和区别，实现了不同层次节点在选择移动方式和目标时的差异性。通过实验得出位于ACTIVE层节点的累计相遇节点数要高于位于STEADY层中的节点，这一结果表明ACTIVE层节点具有一定的外交能力，频繁活跃于不同社区，符合现实中某些节点的特征，从模拟现实的角度分析，CTMM移动模型适合手持设备组成的机会网络。
유우목적절점화원절점지간불존재일조완정적통신련로，인차궤회망락시통과이용절점적이동대래적상우궤회이“존저-휴대-전발”적형식실현절점지간통신적일충이동망락。수연궤회망락적통신연지교대，단시재일사무법건립완정적통신련로적배경중（여수지설비조망화차재망락중）궤회망락능경호지만족일사기본수구。이재궤회망락연구중탑건현실장경기본상시불가능적혹자대개과고，인차주요시통과주방진실험래재현현실배경，이모의절점운동적이동모형시방진연구적중요기출。특별시재수지설비궤회망락중，이동모형대현실적모의정도，장재흔대정도상영향하일보적연구，인차불소학자기우사회복잡망락제출료일사불착적이동모형。문장재최근연구적기출상료제출료사구층차적개념，제출료일충기우사구층차적이동모형，종사구적층차각도분석료절점적상동화구별，실현료불동층차절점재선택이동방식화목표시적차이성。통과실험득출위우ACTIVE층절점적루계상우절점수요고우위우STEADY층중적절점，저일결과표명ACTIVE층절점구유일정적외교능력，빈번활약우불동사구，부합현실중모사절점적특정，종모의현실적각도분석，CTMM이동모형괄합수지설비조성적궤회망락。
Because there is not a complete communication route between source node and destination node, so opportunistic network is supposed to solve it in the form of store-carry-transmit, which make use of the chance bring by the mobile nodes. Although opportunistic network has high communication delay, it has been used in some environment which can’t build a complete network route, for example network of handheld device, vehicular delay tolerant network. But in opportunistic network research, it is hard or impossible to build a real scene, so that researcher use simulation experiment to represent the real world. And the mobility model which to simulate the way of move pattern is the foundation of simulation. Particular, in opportunistic network of handheld device, the realistic extent of mobility model can heavily affect the further research, so someone propose some effective mobility model base on social complex networks theory. In this paper, based on recent literature, we propose a community tier based mobility model (CTMM), which analyse the same and the difference between the nodes form angel of community tier, and realize the otherness of node in item of choosing the mobile way and goal. The results indicate that the node in ACTIVE have a higher meet cumulative number of nodes than the node in STEADY, which result from node in AVEIVE always move between different community. In term of accurately of real world, CTMM can be used in opportunistic network of handheld device.