湖南大学电气与信息工程学院
纸质出版:2018
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[1]邓鹏,苏娟.基于改进的FCM聚类的WSNs协议[J].传感器与微系统,2018,37(11):145-147.
DENG Peng, SU Juan. WSNs protocol based on improved FCM clustering[J]. 2018, 37(11): 145-147.
[1]邓鹏,苏娟.基于改进的FCM聚类的WSNs协议[J].传感器与微系统,2018,37(11):145-147. DOI: 10.13873/j.1000-9787(2018)11-0145-03.
DENG Peng, SU Juan. WSNs protocol based on improved FCM clustering[J]. 2018, 37(11): 145-147. DOI: 10.13873/j.1000-9787(2018)11-0145-03.
为解决无线传感器网络(WSNs)能量消耗分布不均
增加WSNs生命周期
提出了基于改进的模糊C均值(FCM)聚类分簇与最小树的WSNs路由协议。算法中
节点分簇阶段引入遗传优化后的FCM聚类算法进行分簇
同时根据节点的能量与距离基站的距离选择主副簇头
不仅降低了聚类分配进入局部最优的可能性
且解决了簇头分布不均匀的缺点。对主副簇头赋予不同的任务分散簇头能耗以及利用近优最小汇聚树算法规划副簇头到基站的数据传输路径
能够使副簇头间的能量消耗分布更合理
整体上增加WSMs的生命周期。实验结果表明:提出的算法能够更有效地利用节点能量
延长WSNs生命周期。
In order to solve problem of energy consumption uneven distribution of wireless sensor networks(WSNs)
extend the life cycle of WSNs
a WSNs routing protocol based on improved fuzzy—C means(FCM)clustering and the minimum tree is proposed.In this algorithm
FCM clustering algorithm after genetic optimization is introduced for clustering of nodes in node clustering phase.After the node clustering is completed
the node in the cluster will run for the main and sub-cluster head of the cluster
according to its own energy and its position and distance from the base station.The algorithm not only reduces the possibility of clustering allocation into local optimum
but also makes the cluster head distribution more reasonable.At the same time
the algorithm also gives different tasks to the main and sub-cluster head to disperse the energy consumption of the cluster head.And using the near-optimal minimum aggregation tree algorithm to plan the data transmission path of the sub-cluster head to the base station
which can make the energy consumption distribution more reasonable.Thus
the life cycle of WSNs is increased.The experimental results show that this algorithm can better utilize the node energy and extend the life cycle of WSNs.
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