neighbor discovery 中文意思是什麼
neighbor discovery
解釋
鄰居探測-
Ktr is a dynamic wireless routing protocol based on the tree structure. the complicated topology of wireless network is abstracted to a tree structure in ktr while the dynamic routes are created on the basis of discovery and maintenance of neighbor relationships and mobile users " positions
協議以無線移動自組織網際網路的兩級網路體系結構為基礎，將復雜多變的無線網路拓撲抽象為核心樹結構，將動態路由的產生建立在對節點的鄰居關系和對移動用戶的位置關系的發現和維護之上。 -
The directional routing protocol ds _ dsr put forward by the author is the improvement of the current protocol dsr, complete routine discovery and maintenance by directional neighbor nodes routing table, source routing and directional steering. the research discovers the application of the directional antenna, compare the omnidirectional antenna can increases the networks " total throughput, obviously reduces the co _ channel interference ( cci ), multiple access interference ( mai ), enlarges the nodes " signal and interference to noise ratio ( sinr ), and because of the high gain of directional antenna can realize the communication with farther distance and less jump, end to end delay can decrease deeply, simultaneously, security of networks can be improved partially, the node energy also can be saved easily by power control
本文提出的定向路由協議ds _ dsr是基於對現有協議dsr的改進下實現的，通過定向鄰節點路由表、定向源路由和定向搜索來完成路由發現與維護。研究發現，定向天線的應用，相比全向天線可明顯提高網路的總的吞吐量，減少通道干擾、多址干擾，提高信干噪比，且由於定向天線的高增益可實現較遠距離、較少跳數的通信，減少了路由發現時間，這樣大大減小了傳輸時延，網路的整體性能得到了不同程度的提高，同時部分地解決安全問題，通過功率控制還可較容易的實現節能的目的。 -
Technical specification for neighbor discovery protocol in ipv6
Ipv6鄰居發現協議? ?基於ipv6的鄰居發現協議 -
Data mining is defined as the nontrivial extraction of implicit, previously unknown, and potentially useful information from data or known as knowledge - discovery in databases ( kdd ). to do this, data mining uses computational techniques from statistics, machine learning and pattern recognition such as discriminate analysis, regression method, mathematical programming, decision tree, k - nearest neighbor, artificial neural network etc. although many positive attempts are done, the development and application of personal credit assessment model in chinese bank industry is still in its infancy
數據挖掘是20世紀90年代後期人工智慧和數據庫領域興起的一種數據處理和知識發現（ kdd ）理論，是從大量的、不完全的、有噪聲的、模糊的和隨機的實際應用數據中，提取隱含在其中的信息和知識的過程。對數據進行分類和預測是數據挖掘的主要功能。數據挖掘用於信用評估的優勢主要在於: （ 1 ）能處理和修正實際數據問題，演算法模型具有自檢
分享友人