Bio-inspired multi-agent data harvesting in a proactive urban monitoring environment

Lee, Uichin; Magistretti, Eugenio; Gerla, Mário; Bellavista, Paolo; Lió, Píetro; Lee, Kang‐Won

doi:10.1016/j.adhoc.2008.03.009

Cited by 45 publications

(18 citation statements)

References 55 publications

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“…Biochemical coordination models appear very flexible in enabling the spatial formation of both localised and distributed activity patterns, and have been exploited in many special-purpose pervasive frameworks, including crowd mobility management [75] and participatory sensing [76]. The amorphous computing model can be considered an example of biochemical coordination model [77].…”

Section: Biochemical Coordinationmentioning

confidence: 99%

Developing pervasive multi-agent systems with nature-inspired coordination

Zambonelli

Omicini

Anzengruber³

et al. 2015

Pervasive and Mobile Computing

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Pervasive computing systems can be modeled effectively as populations of interacting autonomous components. The key challenge to realizing such models is in getting separately-specified and -developed sub-systems to discover and interoperate with each other in an open and extensible way, supported by appropriate middleware services. In this paper, we argue that nature-inspired coordination models offer a promising way of addressing this challenge. We first frame the various dimensions along which nature-inspired coordination models can be defined, and survey the most relevant proposals in the area. We describe the nature-inspired coordination model developed within the SAPERE project as a synthesis of existing approaches, and show how it can effectively support the multifold requirements of modern and emerging pervasive services. We conclude by identifying what we think are the open research challenges in this area, and identify some research directions that we believe are promising.

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Section: Biochemical Coordinationmentioning

confidence: 99%

Developing pervasive multi-agent systems with nature-inspired coordination

Zambonelli

Omicini

Anzengruber³

et al. 2015

Pervasive and Mobile Computing

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“…Chemotaxis describes the phenomenon that bacteria will innately move towards a higher concentration of certain chemicals in their environment [99]. Datataxis is a term coined by Lee et al [100], to describe the movement of routed agents (vehicles, in this case) towards a higher concentration of data.…”

Section: Datataxismentioning

confidence: 99%

A taxonomy of biologically inspired research in computer networking

2010

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a b s t r a c tThe natural world is enormous, dynamic, incredibly diverse, and highly complex. Despite the inherent challenges of surviving in such a world, biological organisms evolve, self-organize, self-repair, navigate, and flourish. Generally, they do so with only local knowledge and without any centralized control. Our computer networks are increasingly facing similar challenges as they grow larger in size, but are yet to be able to achieve the same level of robustness and adaptability. Many research efforts have recognized these parallels, and wondered if there are some lessons to be learned from biological systems. As a result, biologically inspired research in computer networking is a quickly growing field. This article begins by exploring why biology and computer network research are such a natural match. We then present a broad overview of biologically inspired research, grouped by topic, and classified in two ways: by the biological field that inspired each topic, and by the area of networking in which the topic lies. In each case, we elucidate how biological concepts have been most successfully applied. In aggregate, we conclude that research efforts are most successful when they separate biological design from biological implementation -that is to say, when they extract the pertinent principles from the former without imposing the limitations of the latter.

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“…Термин дататаксис был сформулирован в [107] для описа-ния движения агентов по направлению к наивысшей концентрации данных. В этой работе datataxis был использован для маршрутизации транспортных агентов.…”

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Нестерук¹,

Kotenko²,

Шоров³

2019

Тр. СПИИРАН

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И.В., Шоров А.В., Нестерук Ф.Г. Анализ биоинспирированных подходов для защиты компьютерных систем и сетей. Аннотация. В настоящее время в области безопасности компьютерных систем и сетей все чаще упоминаются и рекламируются различные биоинспирированные подходы, то есть подходы, основанные на биологической метафоре. Действительно, традиционные компьютерные методы и системы, как правило, ограничены по своим функциональным возможностям, подвержены частому выходу из строя из-за незначительных ошибок, имеют недостаточную масштабируемость, не обладают способностью к адаптации к условиям функционирования и изменению целей. В противоположность этому, биоло-гические системы, как правило, реализуют развитые механизмы самозащиты, достаточ-но надежны, обладают высокой масштабируемостью, адаптивны и способны к саморе-генерации. Указанные свойства биологических систем стимулируют использование принципов их построения и механизмов их функционирования в технических системах, включая системы защиты информации. В данной статье рассматриваются различные подходы к защите компьютерных систем и сетей, в основе которых лежит биологиче-ская метафора. Ключевые слова: биологическая метафора, защита компьютерных систем и сетей, им-мунокомпьютинг, нейронные сети, гибридные интеллектуальные средства.Kotenko I.V., Shorov A.V., Nesteruk P.G. Analysis of bio-inspired approaches for protection of computer systems and networks. Abstract. Nowadays more and more different bio-inspired approaches (based on a biological metaphor) for the computer and networks security systems are mentioned and advertised. Traditional computer-based systems and their functionality are often limited by different conditions. Due to frequent minor errors, these systems are subject of failure. They lack scalability, have low adaptation ability to changeable conditions of functioning and its goals. As opposed to traditional computer-based systems, biological systems are often quite reliable. They have great self-protection mechanisms, highly scalable, adaptable and able to self regeneration. These properties of biological systems can be used to construct technical systems (including information security systems). The paper considers different approaches to the protection of computer systems and networks, which are based on a biological metaphor.

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Bio-inspired multi-agent data harvesting in a proactive urban monitoring environment

Cited by 45 publications

References 55 publications

Developing pervasive multi-agent systems with nature-inspired coordination

Developing pervasive multi-agent systems with nature-inspired coordination

A taxonomy of biologically inspired research in computer networking

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