Improving services using mobile agents-based IoT in a smart city

Verma, Pulkit; Gupta, Mayank; Bhattacharya, Tuhin; Das, Pradip K.

doi:10.1109/ic3i.2014.7019766

Cited by 6 publications

(4 citation statements)

References 14 publications

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“…Along with the more recent trends, there have been several proposals of using mobile agents within the so-called Internet of Things (IoT) concept [13], in smart objects [21,22] and in smart cities [23]. The role of Siebog in these practical applications is possible and feasible and would be in providing a standards-compliant, platform-independent, and efficient [4] multiagent middleware.…”

Section: Related Workmentioning

confidence: 99%

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A scalable distributed architecture for client and server-side software agents

Ivanović

Vidaković

Budimac

et al. 2016

Vietnam J Comput Sci

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This paper describes recent developments of the Siebog agent middleware regarding performance. This middleware supports both server-side and client-side agents. Server side agents exist as EJB session beans on the JavaEE application server, while client-side agents exist as JavaScript Worker objects in the browser. Siebog employs enterprise technologies on the server side to provide automatic agent load-balancing and fault-tolerance. On the client side this distributed architecture relies on HTML5 and related standards to support smooth running on a wide variety of hardware and software platforms. Such architecture supports rather easy, reliable and efficient communication, interaction, and coexistence between numerous agents. With the automatic clustering and state persistence, Siebog can support thousands of server-side agents, as well as thousands of external devices hosting tens of client-side agents. Performed and presented experiments showed promising results for real life applications of our architecture.

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Section: Related Workmentioning

confidence: 99%

“…As it is discussed later, Siebog is suitable and reliable for distributed systems with large populations of agents. A concrete example of its possible practical application would be in the area of swarm intelligence, as it is presented [23].…”

Section: Related Workmentioning

confidence: 99%

A scalable distributed architecture for client and server-side software agents

Ivanović

Vidaković

Budimac

et al. 2016

Vietnam J Comput Sci

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“…In this context, the system demonstrated the ability to adapt incorporating new features and flexibility. In [17], a framework for IoT was presented which uses mobile agents for information transfer. The proposed approach can update information like the availability and usability of services dynamically.…”

Section: Introductionmentioning

confidence: 99%

Towards a New Model to Secure IoT-based Smart Home Mobile Agents using Blockchain Technology

Sabir¹,

Youssfi

Bouattane

et al. 2020

Eng. Technol. Appl. Sci. Res.

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The Internet of Things (IoT) is becoming an indispensable part of the actual Internet and continues to extend deeper into the daily lives of people, offering distributed and critical services. Mobile agents are widely used in the context of IoT and due to the possibility of transmitting their execution status from one device to another in an IoT network, they offer many advantages such as reducing network load, encapsulating protocols, exceeding network latency, etc. Also, Blockchain Technology is growing rapidly allowing for the addition of an approved security layer in many areas. Security issues related to mobile agent migration can be resolved with the use of Blockchain. This paper aims to demonstrate how Blockchain Technology can be used to secure mobile agents in the context of the IoT using Ethereum and a Smart Contract. The transactions within the Blockchain are used to detect the malevolent mobile agents that could infiltrate the IoT systems. The proposed model aims to provide a secure migration of mobile agents to ensure security and protect the IoT applications against malevolent agents. The case of a smart home with multiple applications is applied to verify the proposed solution. The model presented in this paper could be extended to a wider selection of IoT systems outside of the smart home.

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“…approach to developing IoT ecosystems could open doors for the service innovation. MAS can help to deploy IoT ecosystems by using smart phones on demand, dynamically (for example, by tracking availability and usability of services they provide) and to facilitate their adaptive behavior(Verma et al, 2014). Another possible innovation opportunity lays in the convenience of MAS approach for ensuring self-management capability of IoT systems, by realizing the context-awareness and selfadaptation properties of the individual agents(Ayala et al, 2015).…”

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confidence: 99%

Domain framework for implementation of open IoT ecosystems

Zdravković

Aubry

et al. 2017

International Journal of Production Research

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In this paper, we provide the overview of the scientific disciplines which could contribute to the resolution of the IoT implementation problem, namely requirements engineering, change management/continuous improvement, modelbased systems engineering, system architecture design, interoperability and policy and regulatory aspects. Then, we identify the challenges of these contributions in the context of IoT and finally, make an attempt to identify research directions which could have a significant impact. The discussion of the challenges and opportunities is illustrated by the proposed domain framework for implementation of open IoT ecosystems.

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Improving services using mobile agents-based IoT in a smart city

Cited by 6 publications

References 14 publications

A scalable distributed architecture for client and server-side software agents

A scalable distributed architecture for client and server-side software agents

Towards a New Model to Secure IoT-based Smart Home Mobile Agents using Blockchain Technology

Domain framework for implementation of open IoT ecosystems

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