Managing a Cloud for Multi-agent Systems on Ad-Hoc Networks

Author(s):  
Subhajit Sidhanta ◽  
Supratik Mukhopadhyay
Author(s):  
Joseph Macker ◽  
William Chao ◽  
Myriam Abramson ◽  
Ian Downard

2009 ◽  
pp. 850-857
Author(s):  
John F. Bradley ◽  
Conor Muldoon ◽  
Gregory M.P. O’Hare ◽  
Michael J. O’Grady

A significant rise in the use of mobile computing technologies has been witnessed in recent years. Various interpretations of the mobile computing paradigm, for example, ubiquitous and pervasive computing (Weiser, 1991) and more recently, ambient intelligence (Aarts & Marzano, 2003)?have been the subject of much research. The vision of mobile computing is often held as one of “smart” devices operating seamlessly and dynamically, forming ad-hoc networks with other related devices, and presenting the user with a truly ubiquitous intelligent environment. This vision offers many similarities with the concept of distributed artificial intelligence where autonomous entities, known as agents, interact with one another forming ad-hoc alliances, and working both reactively and proactively to achieve individual and common objectives. This article will focus on the current state of the art in the deployment of multi-agent systems on mobile devices and smart phones. A number of platforms will be described, along with some practical issues concerning the deployment of agents in mobile applications.


2021 ◽  
Author(s):  
João G. Ribeiro ◽  
Luis Müller Henriques ◽  
Sérgio Colcher ◽  
Julio Cesar Duarte ◽  
Francisco S. Melo ◽  
...  

Ad hoc teamwork is a research topic in multi-agent systems whereby an agent (the "ad hoc agent") must successfully collaborate with a set of unknown agents (the "teammates") without any prior coordination or communication protocol. However, research in ad hoc teamwork is predominantly focused on agent-only teams, but not in agent-human teams, which we believe is an exciting research avenue and has enormous application potential in human-robot teams. This paper will tap into this potential by proposing HOTSPOT, the first framework for ad hoc teamwork in human-robot teams. Our framework comprises two main modules, addressing the two key challenges in the interaction between a robot acting as the ad hoc agent and human teammates. First, a <i>decision-theoretic module</i> that is responsible for all task-related decision making (task identification, teammate identification, and planning). Second, a <i>communication module</i> that uses natural language processing in order to parse all communication between the robot and the human. To evaluate our framework, we use a task where a mobile robot and a human cooperatively collect objects in an open space, illustrating the main features of our framework in a real-world task.


2019 ◽  
Vol 8 (3) ◽  
pp. 2070-2073

A special kind of Mobile ad-hoc networks (MANETs) is Vehicular ad -hoc networks (VANETs). The higher moving vehicles speed is the major issues relative with it. This affects the network instability and topological changes of communication routes. For VANETs, routing protocols is the difficulty that the research group mainly focus on. For vehicular communication, the familiar protocols of MANET proactive routing are used extensively. For VANET, they are not sufficient ones. In dynamic circumstances, route instability is the major issues with the protocols. To resolve the denoted issues, this work merges the PSO and multi-agent system methods and devised an improved PSO (i-PSO) algorithm. To examine the efficiency of our method, we have performed some experimentation. Superior results are exhibited by the proposed technique.


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