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一種可擴展的WSN節能分簇算法
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蘇州高博軟件技術(shù)職業(yè)學(xué)院

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TP393

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2020年江蘇省現代教育技術(shù)研究課題(2019-R-77049),2020年蘇州高職“產(chǎn)教融合、校企合作”教育改革研究課題(JG2020116)。


An Extensible and Energy-efficient Clustering Algorithm of WSN
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    摘要:

    為了減少網(wǎng)絡(luò )重建所帶來(lái)的能量消耗,本文提出一種可擴展的WSN節能分簇算法(AEECA)。首先根據節點(diǎn)的剩余能量在全網(wǎng)范圍內進(jìn)行候選簇首的選舉,然后普通節點(diǎn)根據候選簇首的價(jià)值度、剩余能量、鄰居節點(diǎn)數目等因素來(lái)選擇自己要加入的簇首。當簇內平均剩余能量大于某個(gè)閾值時(shí),采用簇內簇首輪換的方式,不需在全網(wǎng)范圍重新選擇簇首;當新節點(diǎn)申請入網(wǎng)時(shí),根據周?chē)厥资S嗄芰俊斍柏撦d、位置分布等因素來(lái)計算入網(wǎng)許可值,選擇許可值最大的簇首加入,并通過(guò)簇首分配的預留時(shí)隙進(jìn)行數據傳輸。仿真結果表明:與LEACH、EEUC等經(jīng)典分簇算法相比,本文算法可以有效地均衡節點(diǎn)的能量消耗,延長(cháng)網(wǎng)絡(luò )的生命周期。

    Abstract:

    In order to reduce the energy consumption caused by network reconstruction, this paper proposes an extensible WSN energy saving clustering algorithm (AEECA).Firstly, the candidate cluster heads are selected in the whole network according to the residual energy of nodes, and then the common nodes choose the cluster heads they want to join according to the value degree of candidate cluster heads, residual energy, number of neighbor nodes and other factors. When the average residual energy in the cluster is greater than a certain threshold, the head of the cluster shall be rotated in the cluster, and there is no need to re-select the head of the cluster in the whole network. When a new node applies for network access, it calculates the network access permit value according to the surrounding cluster head residual energy, current load, location distribution and other factors, selects the cluster head with the maximum permit value to join, and carries out data transmission through the reserved time slot allocated by the cluster head. Simulation results show that compared with LEACH, EEUC and other classical clustering algorithms, the proposed algorithm can effectively balance the energy consumption of nodes and prolong the life cycle of the network.

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王瑩瑩,鄭永愛(ài),王詠梅.一種可擴展的WSN節能分簇算法計算機測量與控制[J].,2021,29(9):274-278.

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  • 收稿日期:2021-03-04
  • 最后修改日期:2021-03-24
  • 錄用日期:2021-03-24
  • 在線(xiàn)發(fā)布日期: 2021-09-23
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