arrow
返回

Priority-Based Data Gathering Framework in UAV-Assisted Wireless Sensor Networks

delete2016-07-01
delete145
PRE
AI
S
Sotheara Say *
H
Hikari Inata
J
Jiang Liu
S
Shigeru Shimamoto
DOI:10.1109/JSEN.2016.2568260delete
delete原文链接
delete原文求助
delete分享
delete收藏
摘要

摘要

En 中文
This paper proposes a novel data acquisition framework in sensor networks using an unmanned aerial vehicle (UAV) with the goal of increasing the efficiency of the data gathering efforts. To maximize the system throughput, we introduce a priority-based frame selection scheme to suppress the number of redundant data transmissions between sensor nodes and the UAV. Toward this goal, we classify the nodes inside the UAV's coverage area into different frames according to their locations. Taking advantage of the mobility of the UAV, we assign different transmission priorities to nodes in different frames. To do that, we introduce an adjustment to the contention window value used in IEEE 802.11 MAC, thereby defining a lower contention window range to the frame with higher priority ( urgent area) and a higher contention window range to the frame with lower priority ( less important area). The proposed framework leads to a reduction in packet collisions and, at the same time, minimizes the packet loss originated from nodes in the rear-side of the UAV when the UAV moves in the forward direction. To optimize the networks' energy consumption, we present a novel routing protocol based on the aforementioned framework. By leveraging the proposed framework and routing algorithm, we aim to reduce the transmission distances between senders and receivers. A shorter distance leads to better channel quality and energy savings, as is verified by our simulation studies and results.
Keyword:
Energy efficiency
medium access control
frame selection
routing protocol
throughput
time delay
transmission priority
unmanned aerial vehicle
wireless sensor networks
AI总结

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

IEEE Sensors Journal 封面图
IEEE Sensors Journal
IF:
4.5
论文数:
2.2W
被引数:
7.3W

机构

W
Waseda University
学者数:
1.0W
论文数: 8.7K
被引数: 8.3K
引用论文

引用论文

err分享
err收藏
err分享
err收藏
err分享
err收藏
学者 查看更多内容