无线传感网络中数据收集与节能算法的研究
发布时间：2018-08-13 14:05
【摘要】：无线感知网络因地理位置和所处环境等限制,传感器节点一旦部署之后很难再给其补充能量或者更换电池。在无线感知网络数据收集过程中,节能算法显得尤为重要。本文主要研究数据收集中的节能算法,内容如下:1.针对基于LEACH算法的能耗均衡和多跳路由算法中簇头分布不均的问题,本文在簇头选择阈值公式中增加了节点密度。改进前算法的簇头选取方式仅仅考虑了节点剩余能量和节点距基站距离,而没有考虑节点密度,导致簇头节点分布不均。本文在簇头选择阈值公式中增加了节点密度,使得节点密集区节点选作簇头的概率大,节点稀疏区节点选作簇头的概率小,并通过控制各参数的影响因子,来适应不同的环境。2.在前面研究的基础上,本文提出将节点距簇头的距离和节点距基站的距离作比较:如果节点距基站距离较近,节点直接将数据传给基站,否则传给簇头节点,再由簇头节点传给基站。这样的方案可以减少簇头的压力,均衡无线传感器网络能量,延长网络的生命周期。3.针对簇头需要收集簇内节点的数据并且将此数据传给基站,需要消耗更多的能量,导致能量分布不均的问题,本文将基于三角融合技术的PEGASIS算法应用于簇头。先将簇头用基于三角融合技术的PEGASIS算法建成一条链,在簇头链中选择一个链头节点,所有簇头将数据传给链头节点,链头节点经数据融合后再将数据传给基站。这样可以减少簇头节点传输数据的距离,均衡无线传感器网络能量,延长网络的生命周期。
[Abstract]:Due to the limitation of location and environment, it is difficult for sensor nodes to recharge their energy or replace batteries once they are deployed. In the process of wireless aware network data collection, energy saving algorithm is particularly important. This paper mainly studies the energy saving algorithm in data collection, as follows: 1. In order to solve the problem of energy balance based on LEACH algorithm and uneven distribution of cluster heads in multi-hop routing algorithm, the node density is increased in the threshold formula of cluster head selection. The cluster head selection method of the improved algorithm only considers the residual energy of the node and the distance from the node to the base station, but does not consider the node density, which leads to the uneven distribution of the cluster head node. In this paper, the node density is increased in the threshold formula of cluster head selection, which makes the probability of node selection as cluster head large in dense node area and small in node sparse area, and it adapts to different environment by controlling the influence factors of each parameter. Based on the previous research, this paper proposes a comparison between the distance between the node and the base station: if the node is close to the base station, the node will directly transmit the data to the base station, otherwise it will be transferred to the cluster head node. Then the cluster head node is passed to the base station. This scheme can reduce the pressure of cluster head, equalize the energy of wireless sensor network and prolong the lifetime of network. In order to solve the problem that cluster head needs to collect the data of the node in the cluster and transmit the data to the base station, it needs to consume more energy, which leads to the uneven distribution of energy. In this paper, the PEGASIS algorithm based on triangle fusion technology is applied to cluster head. First, the cluster head is built into a chain by using PEGASIS algorithm based on triangular fusion technology, and a chain head node is selected in the cluster head chain. All cluster heads pass the data to the chain head node, and the chain head node passes the data to the base station after the data fusion. In this way, the data transmission distance of cluster head node can be reduced, the energy of wireless sensor network can be equalized, and the lifetime of the network can be prolonged.
【学位授予单位】：南京邮电大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TP212.9;TN929.5
本文编号：2181211
[Abstract]:Due to the limitation of location and environment, it is difficult for sensor nodes to recharge their energy or replace batteries once they are deployed. In the process of wireless aware network data collection, energy saving algorithm is particularly important. This paper mainly studies the energy saving algorithm in data collection, as follows: 1. In order to solve the problem of energy balance based on LEACH algorithm and uneven distribution of cluster heads in multi-hop routing algorithm, the node density is increased in the threshold formula of cluster head selection. The cluster head selection method of the improved algorithm only considers the residual energy of the node and the distance from the node to the base station, but does not consider the node density, which leads to the uneven distribution of the cluster head node. In this paper, the node density is increased in the threshold formula of cluster head selection, which makes the probability of node selection as cluster head large in dense node area and small in node sparse area, and it adapts to different environment by controlling the influence factors of each parameter. Based on the previous research, this paper proposes a comparison between the distance between the node and the base station: if the node is close to the base station, the node will directly transmit the data to the base station, otherwise it will be transferred to the cluster head node. Then the cluster head node is passed to the base station. This scheme can reduce the pressure of cluster head, equalize the energy of wireless sensor network and prolong the lifetime of network. In order to solve the problem that cluster head needs to collect the data of the node in the cluster and transmit the data to the base station, it needs to consume more energy, which leads to the uneven distribution of energy. In this paper, the PEGASIS algorithm based on triangle fusion technology is applied to cluster head. First, the cluster head is built into a chain by using PEGASIS algorithm based on triangular fusion technology, and a chain head node is selected in the cluster head chain. All cluster heads pass the data to the chain head node, and the chain head node passes the data to the base station after the data fusion. In this way, the data transmission distance of cluster head node can be reduced, the energy of wireless sensor network can be equalized, and the lifetime of the network can be prolonged.
【学位授予单位】：南京邮电大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TP212.9;TN929.5
【参考文献】
相关期刊论文 前8条
1 杨斌;沈朗;杨春俊;;无线传感器网络在农业中的应用[J];中国高新技术企业;2015年29期
2 胡峰松;肖球;;一种基于LEACH的能耗均衡多跳路由算法[J];小型微型计算机系统;2014年01期
3 孙扬;何建忠;;WSN自适应负载均衡集簇分层路由协议[J];计算机工程与设计;2013年02期
4 卢建刚;乐红兵;;基于节点相对密度的无线传感器网络成簇算法[J];传感技术学报;2011年04期
5 尹航;张奇松;程志林;;基于ZigBee无线网络的温湿度监测系统[J];机电工程;2008年11期
6 余勇昌;韦岗;;无线传感器网络中基于PEGASIS协议的改进算法[J];电子学报;2008年07期
7 李宏;于宏毅;刘阿娜;;一种基于树的无线传感器网络数据收集方法[J];电子与信息学报;2007年07期
8 齐楠;韩波;李平;;基于ZigBee的智能家庭无线传感网络[J];机电工程;2007年02期
相关博士学位论文 前5条
1 孙玉文;基于无线传感器网络的农田环境监测系统研究与实现[D];南京农业大学;2013年
2 乐俊;无线传感器网络周期性数据收集算法研究[D];国防科学技术大学;2013年
3 奎晓燕;无线传感器网络中高效数据收集协议研究[D];中南大学;2012年
4 缪新颖;基于无线传感器网络的大坝安全监测系统研究[D];大连理工大学;2013年
5 高翔;无线传感器网络低功耗路由与节点目标跟踪定位研究[D];西安电子科技大学;2011年
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