Eagilla: An Enhanced Mobile Agent Middleware for Wireless Sensor Networks

Lingaraj, K.; Biradar, Rajashree V; Patil, Venkanagouda C

doi:10.1016/j.aej.2017.03.003

Cited by 14 publications

(6 citation statements)

References 8 publications

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“…A middleware presented to support remote level communication in different tuples, integrating mobile agents to the multicasting wireless sensor networks. It enhanced the mobile agents for supporting multiple concurrent applications to support dynamic changes and support large scale networks for increasing scalability, and heterogeneity [12].…”

Section: B Mobile Agents In Wsnsmentioning

confidence: 99%

An Ensemble model for automated attack classification in large scale wireless sensor network using Mobile Agent based Intrusion Detection System

kaur

Rana

Batra

2023

Preprint

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The latest technology trend is the conflation of mobile agent technology for high-level inference and surveillance in wireless sensor networks. Bridging the two technology contributes to the emerging areas and acquiring foremost importance in communication. The sensor nodes shift from fixed to a dynamic environment that changes rapidly becomes prone to malicious attacks. This work considers the attacks which cause the communication failure and raises the alarm for appropriate action. A scheme has been defined to collect sufficient data to identify the abnormal behaviour on sensor nodes from Network Simulator (NS-2.35) on the defined features with mobile agent based intrusion detection system (IDS) using SPIN protocol is one of the most useful data-centric routing protocols in WSNs. This work describes a novel approach for classifying attacks based on consumed energy onto different parameters. Furthermore, on the basis of attacks type, a performance matrix is computed by standard classifiers with machine learning models. An ensemble model is proposed to improve the performance of the ensemble classifiers, which yields an average accuracy of 95%. Further, K Fold cross validation has been performed to check the consistency of the proposed ensemble model.

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Section: B Mobile Agents In Wsnsmentioning

confidence: 99%

An Ensemble model for automated attack classification in large scale wireless sensor network using Mobile Agent based Intrusion Detection System

kaur

Rana

Batra

2023

Preprint

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“…This leads us to consider agents as black boxes, i.e., an object that can be viewed only in terms of inputs and outputs without any modification of its code. Some solutions meet this constraint, such as the EAgilla (Lingaraj et al, 2018) whose deployment consists in introducing a middleware between the OS of the already deployed agent and the mobile agents. It allows a deployment without modifying the agents' code, but imposes other constraints including a control of the agents' operating system.…”

Section: Adopted Guidelinementioning

confidence: 99%

“…In order to have a comparative study, COPE is compared for these criteria to a state of the art solution named EAgilla (Lingaraj et al, 2018). EAgilla is a middleware specialized in the development of applications using information coming from a WSN.…”

Section: Evaluation Of the Cope Approachmentioning

confidence: 99%

A Meta-Agent Based Approach to Exploit the Collective Product of Mobile Cyber-Physical Collectives

Khenifar

Jamont²,

Occello³

et al. 2022

Front. Robot. AI

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A cyber-physical system (CPS) is a system with integrated computational and physical abilities. Deriving the notion of cyber-physical collective (CPC) from a social view of CPS, we consider the nodes of a CPS as individuals (agents) that interact to overcome their limits in the collective. When CPC agents are able to move in their environment, the CPC is considered as a Mobile CPC (MCPC). The interactions of the agents give rise to the appearance of a phenomenon collectively generated by the agents of the CPC that we call a collective product. This phenomenon is not recorded as “a whole” in the CPC because an agent has only a partial view of its environment. This paper presents COPE (COllective Product Exploitation), an approach that allows one MCPC to exploit the collective product of another one. The approach is based on the deployment of meta-agents in both systems. A meta-agent is an agent that is external to a MCPC but is associated with one of its agents. Each meta-agent is able to monitor the agent with which it is associated and can fake its perceptions to influence its behavior. The meta-agents deployed in the system from which the collective product emerges provide indicators related to this product. Utilizing these indicators, the meta-agents deployed in the other system can act on the agents in order to adapt the global dynamics of the whole system. The proposed coupling approach is evaluated in a “fire detection and control” use case. It allows a system of UAVs to use the collective product of a network of sensors to monitor the fire.

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“…SOA is defined as an architectural framework having three fundamental roles, namely, service providers, service consumers, and service broker (Figure 23). Some researchers 86,87 have detailed the architectural concepts, design, and technologies of SOA.…”

Section: Leveraging Soa For Wsnsmentioning

confidence: 99%

Evolution of wireless sensor network design from technology centric to user centric: An architectural perspective

Singh

Luhach

Gao

et al. 2020

International Journal of Distributed Sensor Networks

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Wireless sensor networks form the crux of a wide range of automated applications that are gaining popularity with every passing day. The journey of wireless sensor networks has seen simple sensory monitoring to sensing-processing-actuation based end-to-end applications to the design and deployment of highly sophisticated service-oriented use cases. This highly disruptive field has seen rapid transformations to gain insights and assess the relative merits. Demerits of competing design strategies, it very important to know the evolutionary milestones this technology has undergone in achieving the state-of-the-art in this area. In this article, a systematic review is carried out that captures the evolution of architectural designs and developments in wireless sensor network–based applications. This review delves into the relative pros and cons of various epochs in developments and delineates the future areas of research in wireless sensor network design paradigm.

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Eagilla: An Enhanced Mobile Agent Middleware for Wireless Sensor Networks

Cited by 14 publications

References 8 publications

An Ensemble model for automated attack classification in large scale wireless sensor network using Mobile Agent based Intrusion Detection System

An Ensemble model for automated attack classification in large scale wireless sensor network using Mobile Agent based Intrusion Detection System

A Meta-Agent Based Approach to Exploit the Collective Product of Mobile Cyber-Physical Collectives

Evolution of wireless sensor network design from technology centric to user centric: An architectural perspective

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