| 1 | Beacon-Less Geographic Routing in Real Wireless Sensor Networks显示文摘地理路由(GR ) 算法要求节点周期性地播送你好消息允许邻居知道他们的位置(beaconing 机制) 。烽火更少路由选择算法最近被建议了由于这些消息减少控制开销。然而,存在烽火更少算法没考虑现实主义的物理层。因此,那些算法不能在现实主义的情形适当地工作。在这篇论文我们在场一个新烽火更少路由选择协议打电话老板。它的设计用 Tmote 天空传感器基于我们的田野的实验的结论。老板被使适应错误容易的网络并且合并新机制减少在下一个更前面的节点的选择期间生产的碰撞和副本消息。我们把老板与烽火更少路由(BLR )(CBF ) 并且基于竞争的提交作比较通过广泛的模拟的算法。当有低带宽消费时,结果证明我们的计划能完成几乎完美的包交货比率(相似 BLR )( 比 CBF 甚至低) 。另外,我们在显示出我们的模拟结果的正确性的一张真实试验床执行了实验评估。 | Juan A.Sánchez Rafael Marín-Pérez Pedro M.Ruiz | 2008 | Journal of Computer Science & Technology2008，23，3： | 4 |
| 2 | Machine learning-based zero-touch network and service management:a survey显示文摘The exponential growth of mobile applications and services during the last years has challenged the existing network infrastructures.Consequently,the arrival of multiple management solutions to cope with this explosion along the end-to-end network chain has increased the complexity in the coordinated orchestration of different segments composing the whole infrastructure.The Zero-touch Network and Service Management(ZSM)concept has recently emerged to automatically orchestrate and manage network resources while assuring the Quality of Experience(QoE)demanded by users.Machine Learning(ML)is one of the key enabling technologies that many ZSM frameworks are adopting to bring intelligent decision making to the network management system.This paper presents a comprehensive survey of the state-of-the-art application of ML-based techniques to improve ZSM performance.To this end,the main related standardization activities and the aligned international projects and research efforts are deeply examined.From this dissection,the skyrocketing growth of the ZSM paradigm can be observed.Concretely,different standardization bodies have already designed reference architectures to set the foundations of novel automatic network management functions and resource orchestration.Aligned with these advances,diverse ML techniques are being currently exploited to build further ZSM developments in different aspects,including multi-tenancy management,traffic monitoring,and architecture coordination,among others.However,different challenges,such as the complexity,scalability,and security of ML mechanisms,are also identified,and future research guidelines are provided to accomplish a firm development of the ZSM ecosystem. | Jorge Gallego-Madrid Ramon Sanchez-Iborra Pedro M.Ruiz Antonio F.Skarmeta | 2022 | Digital Communications and Networks2022，8，2： | 2 |
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