Networking of multi-robot systems: issues and requirements

被引:1
作者
Nakib, Samih El [1 ]
Jawhar, Imad [2 ]
Sindian, Samar [2 ]
Wu, Jie [3 ]
机构
[1] Islamic Univ Lebanon, Comp & Commun Engn Dept, Beirut, Lebanon
[2] Al Maaref Univ, Fac Engn, Beirut, Lebanon
[3] Temple Univ, Dept Comp & Informat Sci, Philadelphia, PA USA
关键词
multi-robot system; MRS; wireless sensor networks; WSNs; unmanned aerial vehicles; UAVs; path planning; trajectory optimisation; swarm robotics; UAV; OPTIMIZATION; VEHICLES;
D O I
10.1504/IJSNET.2023.134307
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The advancement of multi-robot systems (MRS), wireless sensor networks (WSNs) and unmanned aerial vehicles (UAVs) have led to their increasing use for large-scale monitoring. The research in this area has focused on developing advanced sensing and networking protocols, as well as specialised system topologies and embedded computer and communication platforms. This has resulted in a need for multidisciplinary projects to develop appropriate algorithms for data processing, communication, and control across diverse fields. The primary focus of this article is the collaborative features of MRS. It briefly overviews recent advancements in this vital domain, with a comparative focus on numerous recent theoretical and practical contributions. The article also identifies and discusses focus areas, such as a classification of MRS systems and the issues and requirements of MRS networking protocols. Additionally, references to applications in various domains, including the environment, agriculture, emergency scenarios, and border patrol, are highlighted. Finally, an integrated system model based on WSNs and UAVs is presented, along with an optimality study.
引用
收藏
页码:88 / 98
页数:12
相关论文
共 45 条
[1]   Unmanned Aerial Vehicle Based Wireless Sensor Network for Marine-Coastal Environment Monitoring [J].
A. Trasvina-Moreno, Carlos ;
Blasco, Ruben ;
Marco, Alvaro ;
Casas, Roberto ;
Trasvina-Castro, Armando .
SENSORS, 2017, 17 (03)
[2]  
Adams StuartM., 2011, 9th International Workshop on Remote Sensing for Disaster Response, page, P8
[3]  
Ali A, 2017, FUTURE INTERNET, V9, DOI 10.3390/fi9040077
[4]  
[Anonymous], 2018, P 26 TEL TELFOR 2018
[5]   A technical comparison of three low earth orbit satellite constellation systems to provide global broadband [J].
del Portillo, Inigo ;
Cameron, Bruce G. ;
Crawley, Edward F. .
ACTA ASTRONAUTICA, 2019, 159 :123-135
[6]   Big Data Collection in Large-Scale Wireless Sensor Networks [J].
Djedouboum, Asside Christian ;
Ari, Ado Adamou Abba ;
Gueroui, Abdelhak Mourad ;
Mohamadou, Alidou ;
Aliouat, Zibouda .
SENSORS, 2018, 18 (12)
[7]   Wireless Sensor Networks and Multi-UAV systems for natural disaster management [J].
Erdelj, Milan ;
Krol, Michal ;
Natalizio, Enrico .
COMPUTER NETWORKS, 2017, 124 :72-86
[8]   AIRWISE An Airborne Wireless Sensor Network for Ambient Air Pollution Monitoring [J].
Evangelatos, Orestis ;
Rolim, Jose D. P. .
SENSORNETS: PROCEEDINGS OF THE 4TH INTERNATIONAL CONFERENCE ON SENSOR NETWORKS, 2015, :231-239
[9]   Multirobot systems: A classification focused on coordination [J].
Farinelli, A ;
Locchi, L ;
Nardi, D .
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, 2004, 34 (05) :2015-2028
[10]   Ad Hoc Communication in Teams of Mobile Robots Using ZigBee Technology [J].
Fernandes, Amadeu ;
Couceiro, Micael S. ;
Portugal, David ;
Santos, Joao Machado ;
Rocha, Rui P. .
COMPUTER APPLICATIONS IN ENGINEERING EDUCATION, 2015, 23 (05) :733-745