LAAPS: an efficient file-based search in unstructured peer-to-peer networks using reinforcement algorithm

Shahaboddin Shamshirband; Hossein Soleimani

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LAAPS: an efficient file-based search in unstructured peer-to-peer networks using reinforcement algorithm

机译：Laaps：使用强化算法在非结构化的点对点网络中基于基于文件的基于文件的搜索

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摘要

An efficient searching algorithm in the absence of control over the object locations is a challenging issue in the design of unstructured peer-to-peer (P2P) networks. In this paper, we report files searching constraints in the unstructured P2P systems. Hence, we exploit learning automata adaptive probabilistic search (LAAPS) algorithm for those constraints which are distributed entirely with adequate bandwidth. LAAPS optimize the learning automata using file container nodes which are leveraged with the types of file. In the simulation, we compare the proposed algorithm with the random probabilistic walk, adaptive search algorithm, and improved adaptive probabilistic search algorithm. The numerical result demonstrates that LAAPS improves the number of hits per query, achieving high success rate with significant message reduction.

机译：在对象位置的控制中没有控制的有效搜索算法是非结构化点对点（P2P）网络的设计中的具有挑战性的问题。在本文中，我们报告文件搜索非结构化P2P系统中的约束。因此，我们为这些约束进行了用于学习自动机的自适应概率搜索（Laaps）算法，其完全具有足够的带宽分布。 Laaps使用文件容器节点优化Learning Automata，该文件包含文件类型的类型。在模拟中，我们将所提出的算法与随机概率步行，自适应搜索算法和改进的自适应概率搜索算法进行比较。数值结果表明，LAAPS改善了每个查询的命中数，实现了高成功率，具有显着的消息。

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来源
《International Journal of Computers & Applications》 |2021年第3期|62-69|共8页
作者
Shahaboddin Shamshirband; Hossein Soleimani;
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作者单位

Department for Management of Science and Technology Development Ton Duc Thang University Ho Chi Minh City Vietnam Faculty of Information Technology Ton Duc Thang University Ho Chi Minh City Vietnam;

Department of Information Engineering University of Padova Padova Italy;

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收录信息美国《工程索引》(EI);
原文格式 PDF
正文语种 eng
中图分类
关键词
Peer-to-peer search network; routing; learning automata; reinforcement learning;

机译：点对点搜索网络;路由;学习自动机;加强学习;

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1. ISRL: intelligent search by reinforcement learning in unstructured peer-to-peer networks [J] . XIUQI LI, JIE WU, SHI ZHONG International Journal of Parallel, Emergent and Distributed Systems . 2008,第1期

机译：ISRL：在非结构化对等网络中通过强化学习进行智能搜索
2. An efficient and distributed file search in unstructured peer-to-peer networks - Springer [J] . Mohammad Shojafar, Jemal H. Abawajy, Zia Delkhah, Peer-to-peer networking and applications . 2015,第1期

机译：非结构化对等网络中的高效分布式文件搜索-Springer
3. A dynamic coalition formation game for search efficient adaptive overlay construction in unstructured peer-to-peer networks - Springer [J] . Arezou Soltani Panah, Siavash Khorsandi Peer-to-peer networking and applications . 2014,第1期

机译：用于在非结构化对等网络中搜索有效的自适应覆盖构建的动态联盟形成游戏-Springer
4. Search performance analysis and robust search algorithm in unstructured peer-to-peer networks [C] . Tsungnan Lin, Hsinping Wang, Jianming Wang . 2004

机译：非结构化对等网络中的搜索性能分析和鲁棒搜索算法
5. Ontology-based search algorithms over large-scale unstructured peer-to-peer networks. [D] . Dissanayaka Mudiyanselage, Rasanjalee Himali. 2014

机译：大型非结构化对等网络上基于本体的搜索算法。
6. An Energy-Efficient Spectrum-Aware Reinforcement Learning-Based Clustering Algorithm for Cognitive Radio Sensor Networks [O] . Ibrahim Mustapha, Borhanuddin Mohd Ali, Mohd Fadlee A. Rasid, 2015

机译：认知无线电传感器网络的一种基于能效频谱感知增强学习的聚类算法
7. ISRL: Intelligent Search by Reinforcement Learning in Unstructured Peer-to-Peer Networks [O] . Xiuqi Li, Jie Wu, Shi Zhong 2015

机译：IsRL：在非结构化对等网络中通过强化学习进行智能搜索

LAAPS: an efficient file-based search in unstructured peer-to-peer networks using reinforcement algorithm

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