文章基本信息

标题：Consensus based Data Aggregation for Energy Conservation in Wireless Sensor Network
本地全文：下载
作者：Tamal Banerjee ; Priyansh Sharma ; Shrijana Pradhan 等
期刊名称：International Journal of Distributed and Parallel Systems
印刷版ISSN：2229-3957
电子版ISSN：0976-9757
出版年度：2020
卷号：11
期号：1/2/3/4/5
页码：11-26
DOI：10.5121/ijdps.2020.11502
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：Our planet is abundant with raw data and to monitor the available data properly, processing of the enormous raw data is very vital. One of the key things in development of mankind and the nature is to acquire as much data as possible and to react appropriately in accordance with the studied data. It’s nothing but diagnosis of the physical world by studying the data acquired from them in order to take proper measures that can help in treating them better. Large volume of data incurs high energy consumption for its transmission and thus results in decrease of overall network lifetime. Wireless Sensor Network (WSN) is a collection of multiple sensor nodes that all together forms a network for transmitting data acquired by each sensor node to sink known as Base Station (BS). In hierarchical routing acquired data are sent via relay agents like Cluster Heads (CH). The Cluster Heads must be customised with computations and formulations, which will help in aggregating the gathered data, in order to reduce energy consumption while transmitting the data further in the network while maintaining the data integrity to withhold the significance of every single value in a data set. The proposed work devised a data aggregation technique to reduce the size of data frame in Wireless Sensor Network which will have the following benefits: • Reduce the amount of data traffic between sensor nodes. • Reduce overall energy consumption of the network. • Communicating more data each round between Sensor Heads and finally to Base Station. • Increase in network lifetime. The work performs data aggregation at bit level which produces better aggregated data as significance of all the bits are included in the data. The consensus based data aggregation algorithm is further used to modify Low-Energy Adaptive Clustering Hierarchy (LEACH) protocol for conserving energy and improving the network performance. Various parameters that are taken into consideration for evaluating Proposed Work protocol: • Operating Nodes per round • Operating Nodes per Transmission • Energy Consumed per Transmission • Average Energy Consumed by a Node per Transmission • Network Life-Time.
关键词：Wireless Sensor Network (WSN);Data Aggregation;Cluster Heads (CH);Base Station (BS);Low-Energy Adaptive Clustering Hierarchy (LEACH) protocol