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cluster head中文是什么意思

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  • Simulations show that using dual cluster head greatly decreases the message overhead for mute discovery and helps in extending the network lifetime
    實(shí)驗(yàn)結(jié)果表明使用雙簇首極大地減少了路由發(fā)現(xiàn)過程中的信息開銷并且延長了網(wǎng)絡(luò)的生命周期。
  • Network nodes are divided into clusters in geocrp , sensor nodes send data to their cluster heads and these data are transferred between cluster heads until they reach the sink node , such a hierarchical network structure can increase scalability of the network
    Geocrp將網(wǎng)絡(luò)中的節(jié)點(diǎn)劃分成簇,感知節(jié)點(diǎn)采集的數(shù)據(jù)首先傳送到其所在簇的簇頭,再通過簇頭之間的通信進(jìn)行簇間中繼,直到到達(dá)匯聚節(jié)點(diǎn)。
  • A new algorithm is proposed that promises to deliver solutions to both the problems mentioned above , by using dual cluster head , which is very useful to minimize the use of epidemic algorithms of any sort , thereby saving a lot of resources and also making mute discovery more easier
    本文提出一種能解決以上兩種問題的新算法,即在算法中使用雙簇首,可以減少任何形式的流行算法的使用,因而節(jié)約了許多資源并且使得路由發(fā)現(xiàn)更容易。
  • In the paper , the protocol adopt special route optimize algorithm and tdma time slot assigning algorithm , make node enter low consumption or sleep state in order to reduce the consumption ; aiming at choice the mechanism of cluster head , multi - hop routing and the mechanism of mac , the existing leach protocol is improved
    本文的網(wǎng)絡(luò)協(xié)議是采用特殊的路由優(yōu)化算法和tdma時(shí)隙分配算法,使節(jié)點(diǎn)進(jìn)入低功耗或睡眠狀態(tài)以降低功耗。協(xié)議主要在簇頭的選擇機(jī)制、多跳路由、 mac層通信機(jī)制等方面,對已有的leach協(xié)議進(jìn)行了改進(jìn)。
  • The innovations of this thesis can be summarized into three points . firstly , the average relative velocity is introducd into a novel adptive weighted clustering algorithm as one important parameter of weight , then it increases the stability and self - adaptability of cluster head . secondly , a new approach to calculating weight is suggested by integrating subjective and objective factors . it is verified by comparison with other approaches to selecting weight . thus the velocity of weight responding to the changes of network topology is increased . finally , using a som neural network to create a classifying model enables every node to learn to identify by itself the role in manet
    本文的創(chuàng)新點(diǎn)有三個(gè):首先本文在wca和aow分簇算法的基礎(chǔ)上,引入了平均相對移動速度作為權(quán)值重要的參數(shù),提出了一種新的基于權(quán)值的自適應(yīng)分簇算法,提高了簇頭在移動中的穩(wěn)定性和自適應(yīng)性;其次,提出了利用主客觀綜合賦權(quán)法確定權(quán)重的權(quán)值計(jì)算方法,通過與其他權(quán)重選擇方法比較,網(wǎng)絡(luò)結(jié)構(gòu)變化的權(quán)值響應(yīng)速度得到了改進(jìn);最后,論文利用自組織特征映射神經(jīng)網(wǎng)絡(luò)建立分類模型,使得網(wǎng)絡(luò)中的節(jié)點(diǎn)可以自學(xué)習(xí)地確定簇中角色。
  • In the leach - new protocol , the mainly improvement of the leach protocol exhibits as follow : for the sake of balancing the network load , the network choose the clusters based on the residual energy ; we take multi - hop communication between sensors instead of single - hop communication , which results in the reduction of energy consumption of clusters ; the new protocol finds the path to the cluster head with the minimum cost , using an algorithm similar to flooding to propagate the cost information and greedy algorithm to find the lowest cost link ; the algorithm for assigning tdma time slot reduces overall delays of network
    在leach - new協(xié)議中,對leach協(xié)議的改進(jìn)主要體現(xiàn)在以下幾個(gè)方面:根據(jù)節(jié)點(diǎn)剩余能量選擇簇頭,以平衡網(wǎng)絡(luò)負(fù)載;節(jié)點(diǎn)間采用多跳路由,降低簇頭能量消耗;節(jié)點(diǎn)根據(jù)能量消耗的代價(jià)來選擇至簇頭的路由,通過擴(kuò)散算法來廣播代價(jià)消息,采用貪婪算法來選擇能量消耗最小的路徑;采用tdma時(shí)隙分配算法減少網(wǎng)絡(luò)時(shí)延。最后,利用ns2仿真軟件進(jìn)行驗(yàn)證。
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