Evaluation of a selective distributed discovery strategy in a fully decentralized biologically inspired environment

Paunovski, Ognen; Eleftherakis, George; Dimopoulos, Konstantinos; Cowling, Tony

doi:10.1016/j.ins.2009.07.017

Cited by 6 publications

(3 citation statements)

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“…The rationale of introducing emergent properties in a distributed system is to improve its operational efficiency and to eliminate the need for human configuration and management. EDBO is a continuation of previous work in distributed systems where the focus was on understanding how relationships among network nodes affect resource discovery overall [46]. Although it is a generic case study which represents distributed systems, more concrete studies, like file sharing networks, high performance computing, decentralized schemes of Web services, or sensor and monitoring networks, could potentially benefit from the results of this work.…”

Section: Proposed Architecturementioning

confidence: 98%

Architecting the IoT Paradigm: A Middleware for Autonomous Distributed Sensor Networks

Eleftherakis¹,

Pappas

Λάγκας³

et al. 2015

International Journal of Distributed Sensor Networks

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Actualizing Internet of Things undoubtedly constitutes a major challenge of modern computing and is a promising next step in realizing the unification of all seamlessly interacting entities, either human users or participating machines, under a shared, coherent architecture. While it has now become common belief that the related solutions should be based on compatible network infrastructure employing widely accepted communication schemes, the specifics of the intermediate system that would act as global interface for all involved "things" are yet to be determined. A rising trend to define such machine-based entities is through cyberphysical systems, in terms of collaborating elements with physical input and output. Certainly, sensor networks constitute the most representative realization of such systems. Taking these issues and opportunities under consideration, this work proposes a bioinspired distributed architecture for an Internet of Things that exhibits self-organization properties to enable efficient interaction between entities modeled as cyber-physical systems, mainly focusing on sensor networks. Furthermore, a middleware has been implemented according to the proposed architecture, which serves the role of the backbone of this network as a multiagent and autonomous distributed system. The evaluation results demonstrate the self-optimization properties of the introduced scheme and indicate global network convergence.

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Section: Proposed Architecturementioning

confidence: 98%

Architecting the IoT Paradigm: A Middleware for Autonomous Distributed Sensor Networks

Eleftherakis¹,

Pappas

Λάγκας³

et al. 2015

International Journal of Distributed Sensor Networks

Self Cite

View full text Add to dashboard Cite

show abstract

“…Some researchers also evaluate the performance of information discovery mechanisms. Paunovski [29] evaluates the performance of a selective discovery mechanism in a distributed bio-inspired multi-agent community. In [29], the open distributed network is treated as a fully decentralized biologically inspired environment.…”

Section: Related Workmentioning

confidence: 99%

“…Paunovski [29] evaluates the performance of a selective discovery mechanism in a distributed bio-inspired multi-agent community. In [29], the open distributed network is treated as a fully decentralized biologically inspired environment. The combination and aggregation of information are also studied in distributed environments to reduce the traffic of information discovery [10].…”

Section: Related Workmentioning

confidence: 99%