.png){kind=icon}
返回
Flow based efficient data gathering in wireless sensor network using path-constrained mobile sink
.png){kind=icon}
OA
AI
DOI：10.1007/s12652-019-01245-x.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
In wireless sensor networks (WSNs), sensors are equipped with limited power batteries. Data collection from sensors is one of the fundamental tasks in WSNs. Maximizing the data collection with minimum energy consumption is one of the major challenging issues in WSNs. In this article, we consider data collection using a mobile sink, where the mobile sink efficiently collects data from nearby sensors while moving along a pre-specified path with constant speed. We refer this problem as a Maximizing Data Gathering with Minimum Energy Consumption (MDGMEC) problem. So far, existing works have heuristic algorithms for MDGMEC problem. Their solutions, being heuristic, could not ensure the optimality. In this article, we propose two efficient algorithms to improve the data gathering process. Our algorithms use network flow approach for efficient data forwarding. In the first proposed algorithm, the mobile sink can receive data from multiple nearby sensors simultaneously, while in the second, the mobile sink can receive data from only one nearby sensor at a time. The proposed algorithms run in polynomial time and are also scalable for large networks. We evaluate the proposed algorithms by implementing them in MATLAB. The obtained results show that our proposed schemes outperform other existing schemes in terms of collecting total data and energy efficiency.
Keyword:
Data collection
Energy efficiency
Mobile sink
Fixed path
Wireless sensor networks
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
J
IF:
0
论文数:
71
被引数:
0
机构
引用论文
Cardiorespiratory fitness is differentially associated with cortical thickness in young and older adults.png)
NeuroImageOAAI
NeuroImageIF0
OAAI分享收藏分享收藏Mechanical Properties of Fibre Reinforced Polymers under Elevated Temperatures: An OverviewPolymersOAAI
PolymersIF0
OAAI分享收藏
查看更多内容