An Immune System Based Multi-robot Mobile Agent Network

Godfrey, W. Wilfred; Nair, Shivashankar B.

doi:10.1007/978-3-540-85072-4_37

Cited by 13 publications

(2 citation statements)

References 8 publications

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“…[Outtagarts 2009]. Mobile agents have been used in a myriad of applications ranging from wireless sensor networks [Chen et al 2007], e-commerce [Maes et al 1999], robot control [Kambayashi et al 2005;Godfrey and Nair 2008], security [Boukerche et al 2007] and e-learning [Zaiane 2002]. Posadas et al [2008] highlight the advantages of using mobile agents for controlling mobile robots using two approaches of executing tasks.…”

Section: Mobile Agentsmentioning

confidence: 99%

On Ordering Multi-Robot Task Executions within a Cyber Physical System

Semwal

Jha

Nair

2017

ACM Trans. Auton. Adapt. Syst.

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With robots entering the world of Cyber Physical Systems (CPS), ordering the execution of allocated tasks during run-time becomes crucial. This is so because, in a real world, there can be several physical tasks that use shared resources that need to be executed concurrently. In this paper, we propose a mechanism to solve this issue of ordering task executions within a CPS which inherently handles mutual exclusion. The mechanism caters to a decentralized and distributed CPS comprising nodes such as computers, robots and sensor nodes, and uses mobile software agents that knit through them to aid the execution of the various tasks while also ensuring mutual exclusion of shared resources. The computations, communications and control, are achieved through these mobile agents. Physical execution of the tasks is performed by the robots in an asynchronous and pipelined manner without the use of a clock. The mechanism also features addition and deletion of tasks and insertion and removal of robots facilitating On-The-Fly Programming. As an application, a Warehouse Management System as a CPS has been implemented. The paper concludes with the results and discussions on using the mechanism in both emulated and real world environments.

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Section: Mobile Agentsmentioning

confidence: 99%

On Ordering Multi-Robot Task Executions within a Cyber Physical System

Semwal

Jha

Nair

2017

ACM Trans. Auton. Adapt. Syst.

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“…Mobile agents can also be used to churn out and carry intelligence along with them as they migrate within a network [16]. They have been used in a wide range of applications which include wireless sensor networks [17], robot control [18,19], e-commerce [20], security [21,22], e-learning [23], robotics [24,25], IoT [10,26], etc. Some of the major advantages of using mobile agents are:…”

Section: Mobile Agentsmentioning

confidence: 99%

AgPi: Agents on Raspberry Pi

Semwal

Nair

2016

Electronics

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Abstract:The Raspberry Pi and its variants have brought with them an aura of change in the world of embedded systems. With their impressive computation and communication capabilities and low footprint, these devices have thrown open the possibility of realizing a network of things in a very cost-effective manner. While such networks offer good solutions to prominent issues, they are indeed a long way from being smart or intelligent. Most of the currently available implementations of such a network of devices involve a centralized cloud-based server that contributes to making the necessary intelligent decisions, leaving these devices fairly underutilized. Though this paradigm provides for an easy and rapid solution, they have limited scalability, are less robust and at times prove to be expensive. In this paper, we introduce the concept of Agents on Raspberry Pi (AgPi) as a cyber solution to enhance the smartness and flexibility of such embedded networks of physical devices in a decentralized manner. The use of a Multi-Agent System (MAS) running on Raspberry Pis aids agents, both static and mobile, to govern the various activities within the network. Agents can act autonomously or on behalf of a human user and can collaborate, learn, adapt and act, thus contributing to embedded intelligence. This paper describes how Tartarus, a multi-agent platform, embedded on Raspberry Pis that constitute a network, can bring the best out of the system. To reveal the versatility of the concept of AgPi, an application for a Location-Aware and Tracking Service (LATS) is presented. The results obtained from a comparison of data transfer cost between the conventional cloud-based approach with AgPi have also been included.

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