Spatial approaches to broadband jamming in heterogeneous mobile networks: a game-theoretic approach

Bhattacharya, Sourabh; Başar, Tamer

doi:10.1007/s10514-011-9253-0

Cited by 11 publications

(6 citation statements)

References 32 publications

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“…[37] was restricted to the case of 2 UAVs and a jammer, and [1] provided an extension to multiple UAVs and jammers. And in [9], we extended the results to a scenarion involving also AGVs. We have addressed the connectivity maintenance problem also in [14], but now when two mobile autonomous agents (holonomic agents) navigate in an environment containing polygonal obstacles.…”

Section: Communication Jamming and Allocation Of Resources With Applmentioning

confidence: 82%

“…In a series of papers [1,9,14,16,23,28,29,30,37,40,42,44], we have brought in additional elements into the jamming scenario above such as mobility, continuous dynamics, and multiplicity of agents. In [1] and [37], we have investigated a jamming attack on the communication network of a team of unmanned aerial vehicles (UAVs) flying in a formation under a communication and a motion model for the UAVs, where communication is essential for a team of UAVs to sustain formation.…”

Section: Communication Jamming and Allocation Of Resources With Applmentioning

confidence: 99%

See 1 more Smart Citation

Distributed Control for Networked Systems with Non-Traditional Communication Constraints: Lossy Links, Power and Usage Limitations, and Induced Cooperation

Başar¹

2012

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Public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing this collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing this burden to Department of Defense, Washington Headquarters Services, Directorate for Information The report is comprised of 5 sections. Section 1 provides an overview of the relevant research area and the issues addressed by the PI during the period of the Grant. Section 2 describes the research conducted and the results obtained, broken down to 7 subsections, each one covering a specific subarea. After a brief conclusions section (Section 3), the report contains a list of plenary talks and special colloquia given by the PI on topics covered by the Grant (Section 4), and a list of publications and conference presentations resulting from this research, along with additional bibliography cited in the report (Section 5). SPONSORING / MONITORING AGENCY NAME(S) AND ADDRESS(ES) 10. SPONSOR/MONITOR'S ACRONYM(S) SPONSOR/MONITOR'S REPORT NUMBER(S) Overview of the Research Area and Issues AddressedAs wireless sensing and control become increasingly applicable in fields ranging from real-time alarm systems and vehicle systems to aeronautical guidance and formation control, the need for establishing a theoretical foundation for what is known as networked systems [R1] has grown likewise. Such systems have sensors and controllers distributed generally in an ad-hoc manner, but have to be connected virtually either through communication and information transmission or because of the need to achieve some level of performance driven by individual or common goals, or both. Any effective effort to develop a theoretical foundation for this relatively new paradigm necessitates pooling together of tools (both conceptual and algorithmic) from multiple seemingly disparate disciplines, such as control theory, information theory, coding, communication, computing, and game theory. Some salient aspects of this paradigm, and the challenging issues that arise in this context, which we have addressed in the research supported by this AFOSR grant, are as follows, where the generic term agents is used for entities that are responsible for decision making that leads to actions, be they sensors or controllers or even dynamical systems.

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Section: Communication Jamming and Allocation Of Resources With Applmentioning

confidence: 82%

Section: Communication Jamming and Allocation Of Resources With Applmentioning

confidence: 99%

Distributed Control for Networked Systems with Non-Traditional Communication Constraints: Lossy Links, Power and Usage Limitations, and Induced Cooperation

Başar¹

2012

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“…The problem of finding an algorithm to attain Nash equilibrium (NE) has inspired many researchers thanks to the vast variety of applications of differential non-cooperative games in areas such as motion planning (LaValle and Hutchinson, 1998), (LaValle, 2000), (Turnwald et al, 2014), formation control (Olfati-Saber et al, 2007), (Gu, 2007), wireless networks (Shen et al, 2014), (AlSkaif et al, 2015), mobile sensor networks (Bhattacharya and Bas ¸ar, 2011), (Gu, 2010), network security (Li et al, 2012), and demand side management in smart grid (Zhu & Bas ¸ar, 2011), (Zhu et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

Seeking Nash Equilibrium in Non-Cooperative Differential Games

Zahedi

Khayatian²,

Arefi³

2022

Journal of Vibration and Control

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This paper aims at investigating the problem of fast convergence to the Nash equilibrium (NE) for N-Player noncooperative differential games. The proposed method is such that the players attain their NE point without steady-state oscillation (SSO) by measuring only their payoff values with no information about payoff functions, the model and also the actions of other players are not required for the players. The proposed method is based on an extremum seeking (ES) method, and moreover, compared to the traditional ES approaches, in the presented algorithm, the players can accomplish their NE faster. In fact, in our method, the amplitude of the sinusoidal excitation signal in classical ES is adaptively updated and exponentially converges to zero. In addition, the analysis of convergence to NE is provided in this paper. Finally, a simulation example confirms the effectiveness of the proposed method.

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“…T HE problem of finding an algorithm to attain NE has inspired many researchers thanks to the vast variety of applications of differential non-cooperative games in areas such as motion planning [1], [2], [3], formation control [4], [5], wireless networks [6], [7], mobile sensor networks [8], [9], network security [10] and demand side management in smart grid [11], [12].…”

Section: Introductionmentioning

confidence: 99%

Seeking Nash equilibrium in non-cooperative differential games

Abbaszadeh¹,

Khayatian²,

Arefi³

et al. 2020

Preprint

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This paper aims at investigating the problem of fast convergence to the Nash equilibrium (NE) for N-Player noncooperative differential games. The proposed method is such that the players attain their NE point without steady-state oscillation (SSO) by measuring only their payoff values with no information about payoff functions, the model and also the actions of other players are not required for the players. The proposed method is based on an extremum seeking (ES) method, and moreover, compared to the traditional ES approaches, in the presented algorithm, the players can accomplish their NE faster. In fact, in our method the amplitude of the sinusoidal excitation signal in classical ES is adaptively updated and exponentially converges to zero. In addition, the analysis of convergence to NE is provided in this paper. Finally, a simulation example confirms the effectiveness of the proposed method.

show abstract

Spatial approaches to broadband jamming in heterogeneous mobile networks: a game-theoretic approach

Cited by 11 publications

References 32 publications

Distributed Control for Networked Systems with Non-Traditional Communication Constraints: Lossy Links, Power and Usage Limitations, and Induced Cooperation

Distributed Control for Networked Systems with Non-Traditional Communication Constraints: Lossy Links, Power and Usage Limitations, and Induced Cooperation

Seeking Nash Equilibrium in Non-Cooperative Differential Games

Seeking Nash equilibrium in non-cooperative differential games

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