UAV-assisted data gathering in wireless sensor networks

被引:123
作者
Dong, Mianxiong [1 ,2 ]
Ota, Kaoru [2 ,3 ]
Lin, Man [4 ]
Tang, Zunyi [5 ]
Du, Suguo [6 ]
Zhu, Haojin [6 ]
机构
[1] Natl Inst Informat & Commun Technol, Kyoto, Japan
[2] Xidian Univ, State Key Lab Integrated Serv Networks, Xian, Peoples R China
[3] Muroran Inst Technol, Muroran, Hokkaido 050, Japan
[4] St Francis Xavier Univ, Antigonish, NS B2G 1C0, Canada
[5] Osaka Electrocommun Univ, Neyagawa, Osaka 572, Japan
[6] Shanghai Jiao Tong Univ, Shanghai 200030, Peoples R China
基金
美国国家科学基金会;
关键词
Unmanned aerial vehicle (UAV); Wireless sensor networks; Data gathering; Mobile agents; DATA FUSION;
D O I
10.1007/s11227-014-1161-6
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
080201 [机械制造及其自动化];
摘要
An unmanned aerial vehicle (UAV) is a promising carriage for data gathering in wireless sensor networks since it has sufficient as well as efficient resources both in terms of time and energy due to its direct communication between the UAV and sensor nodes. On the other hand, to realize the data gathering system with UAV in wireless sensor networks, there are still some challenging issues remain such that the highly affected problem by the speed of UAVs and network density, also the heavy conflicts if a lot of sensor nodes concurrently send its own data to the UAV. To solve those problems, we propose a new data gathering algorithm, leveraging both the UAV and mobile agents (MAs) to autonomously collect and process data in wireless sensor networks. Specifically, the UAV dispatches MAs to the network and every MA is responsible for collecting and processing the data from sensor nodes in an area of the network by traveling around that area. The UAV gets desired information via MAs with aggregated sensory data. In this paper, we design a itinerary of MA migration with considering the network density. Simulation results demonstrate that our proposed method is time- and energy-efficient for any density of the network.
引用
收藏
页码:1142 / 1155
页数:14
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