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
[31]  
Saitou T, 2013, IEEE WORK ADV ROBOT, P237, DOI 10.1109/ARSO.2013.6705535
[32]   The critical transmitting range for connectivity in sparse wireless ad hoc networks [J].
Santi, P ;
Blough, DM .
IEEE TRANSACTIONS ON MOBILE COMPUTING, 2003, 2 (01) :25-39
[33]  
Sato Noritaka, 2008, International Journal of Advanced Mechatronic Systems, V1, P10, DOI 10.1504/IJAMECHS.2008.020834
[34]  
Shima Keiichi, 2008, SICE 2008 - 47th Annual Conference of the Society of Instrument and Control Engineers of Japan, P1648, DOI 10.1109/SICE.2008.4654927
[35]  
Sun YX, 2014, 2014 IEEE INTERNATIONAL CONFERENCE ON INFORMATION AND AUTOMATION (ICIA), P250, DOI 10.1109/ICInfA.2014.6932662
[36]  
Tadokoro Satoshi, 2009, Journal of the Institute of Electronics, Information and Communication Engineers, V92, P203
[37]  
Takeuchi Toshio, 2008, IECON 2008 - 34th Annual Conference of IEEE Industrial Electronics Society, P1782, DOI 10.1109/IECON.2008.4758224
[38]  
Tan M, 2013, 2013 IEEE INTERNATIONAL CONFERENCE ON INFORMATION AND AUTOMATION (ICIA), P344, DOI 10.1109/ICInfA.2013.6720321
[39]  
Thrun S., 2005, PROBABILISTIC ROBOTI
[40]  
Xu KX, 2001, 2001 MILCOM, VOLS 1 AND 2, PROCEEDINGS, P230, DOI 10.1109/MILCOM.2001.985795