Consensus Analysis of Wireless Multi-Agent Systems Over Fading Channels

被引：5

作者：

Oral, Ezgi ^{[1
]}

Schmeink, Anke ^{[2
]}

Dartmann, Guido ^{[3
]}

Ascheid, Gerd ^{[4
]}

Pusane, Ali E. ^{[1
]}

Kurt, Gunes Karabulut ^{[5
]}

机构：

[1] Bogazici Univ, Dept Elect & Elect Engn, TR-34342 Istanbul, Turkey

[2] Rhein Westfal TH Aachen, ISEK Res & Teaching Area, D-52062 Aachen, Germany

[3] Trier Univ Appl Sci, Res Grp Distributed Syst, D-54293 Trier, Germany

[4] Rhein Westfal TH Aachen, Inst Commun Technol & Embedded Syst, D-52062 Aachen, Germany

[5] Istanbul Tech Univ, Dept Elect & Commun Engn, TR-34467 Istanbul, Turkey

来源：

IEEE WIRELESS COMMUNICATIONS LETTERS | 2021年 / 10卷 / 07期

关键词：

Channel fading; consensus; random graph theory; sound-to-noise ratio; wireless multi-agent systems;

D O I：

10.1109/LWC.2021.3073170

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this letter, the probability of reaching consensus in wireless multi-agent systems (WMASs) is introduced. Starting with the connectivity probability of random graphs, and considering link outages between agents, we obtain the probability expression that a WMAS with N agents reaches consensus. We validate the obtained exact expression via simulation results. Furthermore, we show that the corresponding diversity order is N-1, hence increasing the number of agents will contribute towards the likelihood of consensus, despite the increased communication need between each agent. Finally, we observe that the consensus speed is highly dependent on the signal-to-noise ratio (SNR) level and the number of agents in a WMAS.

引用

页码：1528 / 1531

页数：4

共 50 条

[41] On the performance analysis of wireless communication systems over α-μ/α-μ composite fading channels
Badarneh, Osamah S.
Almehmadi, Fares S.
Aldalgamouni, Taimour
INTERNATIONAL JOURNAL OF AD HOC AND UBIQUITOUS COMPUTING, 2019, 30 (03) : 137 - 149
[42] Quantised consensus of heterogeneous multi-agent systems
Zhu, Yunru
Zheng, Yuanshi
Wang, Long
IET Control Theory and Applications, 2015, 9 (17): : 2553 - 2560
[43] Adaptive consensus estimation of multi-agent systems
Demetriou, Michael A.
Nestinger, Stephen S.
2011 50TH IEEE CONFERENCE ON DECISION AND CONTROL AND EUROPEAN CONTROL CONFERENCE (CDC-ECC), 2011, : 354 - 359
[44] Interaction Reduction and Consensus for Multi-agent Systems
Geng, Xiaojun
Jeffcoat, David
Xu, Yunjun
2010 AMERICAN CONTROL CONFERENCE, 2010, : 1635 - 1640
[45] Consensus in Networked Multi-Agent Systems with Adversaries
LeBlanc, Heath
Koutsoukos, Xenofon
HSCC 11: PROCEEDINGS OF THE 14TH INTERNATIONAL CONFERENCE ON HYBRID SYSTEMS: COMPUTATION AND CONTROL, 2011, : 281 - 290
[46] Bringing Paxos consensus in multi-agent systems
Mocanu, Andrei
Badica, Costin
ACM International Conference Proceeding Series, 2014,
[47] Fast consensus seeking for multi-agent systems
She, Yingying
Fang, Huajing
JOURNAL OF SYSTEMS ENGINEERING AND ELECTRONICS, 2011, 22 (03) : 534 - 539
[48] Robust consensus of multi-agent systems with noise
WANG Lin LIU ZhiXin Institute of Systems ScienceAcademy of Mathematics and Systems ScienceChinese Academy of SciencesBeijing China
ScienceinChina(SeriesF:InformationSciences), 2009, 52 (05) : 824 - 834
[49] Fast consensus seeking for multi-agent systems
Yingying She and Huajing Fang Department of Control Science and Engineering
Journal of Systems Engineering and Electronics, 2011, 22 (03) : 534 - 539
[50] Cluster Consensus of Boolean Multi-Agent Systems
Li, Fangfei
Chen, Yao
Lu, Jinhu
Hill, David
2013 9TH ASIAN CONTROL CONFERENCE (ASCC), 2013,

← 1 2 3 4 5 →