Autonomous Wi-Fi Relay Placement With Mobile Robots

被引:25
作者
Gao, Yajun [1 ,2 ]
Chen, Haoyao [1 ,2 ]
Li, Yanjie [1 ,2 ]
Lyu, Congyi [1 ,2 ]
Liu, Yunhui [3 ]
机构
[1] Harbin Inst Technol, Sch Mech Engn & Automat, Shenzhen Key Lab Aerosp Image Sensing Technol & E, Shenzhen 518055, Peoples R China
[2] Harbin Inst Technol, State Key Lab Robot & Syst, Shenzhen 518055, Peoples R China
[3] Chinese Univ Hong Kong, Dept Mech & Automat Engn, Hong Kong, Hong Kong, Peoples R China
基金
中国国家自然科学基金;
关键词
Autonomous control; mobile robots; simultaneous localization and mapping (SLAM); Wi-Fi relay placement; AD-HOC; CONNECTIVITY;
D O I
10.1109/TMECH.2017.2751149
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Stable communication plays an important role in many autonomous robotic applications, particularly in challenging environments that lack communication infrastructures. At present, there exists a high demand for wireless communication networks that can be quickly established to operate devices or agents, such as tasked mobile robots. Eliminating the bottlenecks in data transmission and optimizing the communication ability of base stations, mobile robots, and clients are necessary to ensure stable wireless communication. To solve the problem, an efficient approach is proposed by equipping Wi-Fi routers on mobile robots to enable and enhance dynamic communication ability. First, two specific Wi-Fi models are proposed to detect the distribution of Wi-Fi signals over operating environments and assist in the navigation of relay robots. A visual-laser simultaneous localization and mapping is proposed to establish an environmental map and further localize relay robots. A rapidly exploring random trees-based motion planning method is utilized to identify the target relay locations with optimal communication ability based on the built Wi-Fi signal distribution. Mobile relay robots are controlled automatically to the corresponding target locations, and an ad-hoc wireless network with good quality is established. The experimental results are presented to demonstrate the effectiveness of the proposed approach.
引用
收藏
页码:2532 / 2542
页数:11
相关论文
共 42 条
[1]   The Parallel Approach to the Conjugate Gradient Learning Algorithm for the Feedforward Neural Networks [J].
Bilski, Jaroslaw ;
Smolag, Jacek ;
Galushkin, Alexander I. .
ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING ICAISC 2014, PT I, 2014, 8467 :12-21
[2]   Optimal placement of UV-based communications relay nodes [J].
Burdakov, Oleg ;
Doherty, Patrick ;
Holmberg, Kaj ;
Olsson, Per-Magnus .
JOURNAL OF GLOBAL OPTIMIZATION, 2010, 48 (04) :511-531
[3]   Transportation of Multiple Biological Cells Through Saturation-Controlled Optical Tweezers In Crowded Microenvironments [J].
Chen, Haoyao ;
Wang, Can ;
Li, Xiaojian ;
Sun, Dong .
IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2016, 21 (02) :888-899
[4]   Moving Groups of Microparticles Into Array With a Robot-Tweezers Manipulation System [J].
Chen, Haoyao ;
Sun, Dong .
IEEE TRANSACTIONS ON ROBOTICS, 2012, 28 (05) :1069-1080
[5]   Maximizing throughput of UAV-relaying networks with the load-carry-and-deliver paradigm [J].
Cheng, Chen-Mou ;
Hsiao, Pai-Hsiang ;
Kung, H. T. ;
Vlah, Dario .
2007 IEEE WIRELESS COMMUNICATIONS & NETWORKING CONFERENCE, VOLS 1-9, 2007, :4420-4427
[6]   Coverage control for mobile sensing networks [J].
Cortés, J ;
Martínez, S ;
Karatas, T ;
Bullo, F .
IEEE TRANSACTIONS ON ROBOTICS AND AUTOMATION, 2004, 20 (02) :243-255
[7]   Fuzzy Dijkstra algorithm for shortest path problem under uncertain environment [J].
Deng, Yong ;
Chen, Yuxin ;
Zhang, Yajuan ;
Mahadevan, Sankaran .
APPLIED SOFT COMPUTING, 2012, 12 (03) :1231-1237
[8]   Optimizing Cascaded Chains of Unmanned Aircraft Acting as Communication Relays [J].
Dixon, Cory ;
Frew, Eric W. .
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2012, 30 (05) :883-898
[9]  
Dousse O, 2002, IEEE INFOCOM SER, P1079, DOI 10.1109/INFCOM.2002.1019356
[10]   SVO: Semidirect Visual Odometry for Monocular and Multicamera Systems [J].
Forster, Christian ;
Zhang, Zichao ;
Gassner, Michael ;
Werlberger, Manuel ;
Scaramuzza, Davide .
IEEE TRANSACTIONS ON ROBOTICS, 2017, 33 (02) :249-265