An Efficient Protocol for Data Aggregation In Wireless Sensor Networks
An Efficient Protocol for Data Aggregation In Wireless Sensor Networks
复制标题
无线传感器网络中数据聚合的有效协议
DOI：
--
复制
发表时间：
2015
期刊：
影响因子：
--
通讯作者：
Elahe Khorramian
中科院分区：
文献类型：
--
作者：
M. Sohrabi;Elahe Khorramian
传感器网络一般需要分布在一个广阔的环境中，并从环境中收集数据，节点受到存储、接收、通信和计算能力等方面的限制，大量额外数据的传输增加了数据传输量，并成比例地增加了数据传输的能量和带宽。这个问题的一个解决方案是数据聚合。聚合数据的结果影响已经从基站收集的最终结果的准确性和精确度。在这样的网络中的主要挑战是如何进一步延长网络寿命，并且这样做的因素之一是促进网络寿命的能量消耗或能量优化。集群协议分别提出了一个合适的方法来应对所谓的挑战，或者更简单地说，增加生命周期。本文提出了一种以分簇为核心的数据聚集协议，该协议采用最大剩余能量和最小距离来选择簇的能量消耗。实验结果表明，基于剩余能量和平均距离的高效聚类算法（EECA- READ）取得了很好的性能.
Sensor networks generally consi will be spread into a vast environment and aggregate data out of it. nodes are afflicted with some limitations as follows memory, reception, communication as well as calculation capability, and bat transmission of a great amount of extra data increases data transmission and proportionally increases the amount of energy and bandwidth for the data transmission. One solution for this issue is data aggregation. The results of aggregated data influence the accuracy and precision of the final result already gleaned from the base station. The main challenge in such networks is how to further elongate the network lifetime and among the factors doing so is the energy consumption or energy optim furthering the network life span. Respectively the clustering protocols have come up with a suitable method for the so called challenge or more simply put increasing the lifetime. In this paper the res protocol for data aggregation hinging around clustering which uses maximum residual energy and minimum distance for selecting the cluster consumption of energy. The experimental resul Efficient Clustering Algorithm through Residual Energy and Average Distance (EECA- READ) attains very good performance.
尝试利用 T 结肠造影中大肠突起病变的分形分析来诊断恶性肿瘤
DOI：
--
发表时间：
2022
期刊：
影响因子：
--
作者：
間宮悠;栃木透
通讯作者：
栃木透