面向群智感知的机会网络数据传输算法研究

发布时间：2019-03-08 21:07

【摘要】：群智感知作为一种新的感知模式,是指携带智能设备的移动人群通过无线通信来解决大规模的移动感知任务。近年来,为达到高效节能的数据传输目的,面向群智感知的机会网络数据传输算法得到了广泛的关注。已有的数据传输方案大都依赖于历史通信记录或者用户的行动轨迹来完成数据传输,然而这些信息的获取相对复杂,并且节点的历史通信记录或者行动轨迹都是动态变化,随着通信规模的不断扩大,对应数据的计算量十分庞大,这就导致了要在节点之间建立稳定的通信链路非常困难。现有的数据传输算法,在传输成功率以及传输开销率上仍存在诸多不足,论文设计了一种面向群智感知的数据传输方案,能够较大的改善机会网络中数据传输的成功率,有效降低数据传输过程中的网络开销。论文首先提出了一种基于阿基米德曲线的数据传输方案,以面向灾后救援应急通信为应用场景,为达到高效节能和数据稳定传输目的,将阿基米德曲线引入到面向群智感知的机会网络数据传输方案设计中。该方法根据阿基米德曲线均匀分布且不相互干扰的特性,并在以应急救援通信场景中心为起点的阿基米德曲线上设置适量的静态节点以来辅助数据的传输;同时从救灾现场携带智能设备的车辆与人群中选取高缓存、高通信范围、高移动率等高效用值个体节点成立中心组与静态节点进行数据传输。该方案采用了内外结合的方式,同时利用了辅助布置的静态节点和网络已有的高效节点进行数据传输,在保证稳定的传输成功率的同时达到了降低开销的目的。在此基础上,为进一步提高数据传递成功率,我们设计了一种根据节点状态赋予节点不同的传输概率计算方法的数据传输方案,对于静态节点和动态节点给予不同的传输成功率刷新方法,从而达到有效提高数据传输成功率的目的,从而为群智感知网络高效的数据传输提供有力保障。最后,为了方便算法的验证与分析,本文设计了一种面向灾后应急通信的可视化模拟系统。
[Abstract]:Group perception, as a new mode of perception, refers to the mobile crowd carrying intelligent devices to solve large-scale mobile sensing tasks through wireless communication. In recent years, in order to achieve the purpose of efficient and energy-saving data transmission, the opportunity network data transmission algorithm for group perception has been paid more and more attention. Most of the existing data transmission schemes rely on the historical communication records or the user's action track to complete the data transmission. However, the acquisition of this information is relatively complex, and the historical communication records or action tracks of the nodes are dynamic changes. With the increasing of communication scale, the computation of corresponding data is very large, which makes it very difficult to establish stable communication links between nodes. The existing data transmission algorithms still have many shortcomings in transmission success rate and transmission expense rate. This paper designs a data transmission scheme oriented to group intelligence, which can greatly improve the success rate of data transmission in opportunistic networks. Effectively reduce the network overhead in the process of data transmission. Firstly, this paper proposes a data transmission scheme based on Archimedes curve, which takes emergency communication for post-disaster rescue as an application scenario, in order to achieve the purpose of efficient energy saving and stable data transmission. Archimedes curve is introduced into the group perception oriented opportunistic network data transmission scheme design. According to the characteristic of uniform distribution of Archimedes curve and no interference between each other, this method sets appropriate static nodes on Archimedes curve starting from the center of emergency rescue communication scene to transmit auxiliary data. At the same time, high cache, high communication range and high mobility rate are selected from vehicles and people carrying intelligent devices in disaster relief site to set up central group and static nodes for data transmission. In this scheme, the combination of internal and external is adopted, and the static nodes of auxiliary arrangement and the efficient nodes of network are used to transmit data. The scheme not only guarantees the stable success rate of transmission, but also reduces the overhead. On this basis, in order to further improve the success rate of data transfer, we design a data transmission scheme which gives nodes different transmission probability calculation methods according to the node state. For the static node and the dynamic node, different refresh methods are given to improve the success rate of data transmission, thus providing a powerful guarantee for the efficient data transmission of the group perception network. Finally, in order to facilitate the verification and analysis of the algorithm, a visual simulation system for post-disaster emergency communication is designed in this paper.
【学位授予单位】：南京邮电大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TN92

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