Biologically Inspired Networking

Leibnitz, Kenji; Wakamiya, Naoki; Murata, Masayuki

doi:10.1002/9780470515143.ch1

Cited by 19 publications

(11 citation statements)

References 31 publications

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“…However, as others have recognized [14,117], the next generation of bio-inspired research will be most successful if it takes a more conceptual, systems-level approach. This means studying not just the behavior of individual components of the system, but their interactions, and the characteristics of the system that forms as a result.…”

Section: Resultsmentioning

confidence: 99%

“…Instead, wherever possible, we will include references to more exhaustive literature reviews specific to particular research topics. For readers interested in similarly broad surveys with a different focus, we recommend two excellent book chapters [14,15], both of which survey algorithms and techniques in networking that are the product of biologically inspired research.…”

Section: Focusmentioning

confidence: 99%

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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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Section: Resultsmentioning

confidence: 99%

Section: Focusmentioning

confidence: 99%

A taxonomy of biologically inspired research in computer networking

2010

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“…Similarly, researchers at Osaka University, Japan point out that biological systems from molecular processes and immune systems and from social insects to predator-prey relationships exhibit robustness in the face of catastrophe, a property desired in communications networks. Architectural properties of such biological systems include [group] membership perception, network awareness, buffer management [pheromone decay], and message filtering [75]. Also in this context, John Strassner (Motorola) and his group at Waterford, Ireland, report a Ideal cognition cycle: the Observe-Orient-Plan-DecideAct-Learn (OOPDAL) cycle of the iCRA embeds self-aware, user-aware, RF-aware agent into SDR to improve QoS and QoI refined autonomic network architecture, in some sense a distributed networked version of the iCRA [76].…”

Section: Networking and Cra Evolutionmentioning

confidence: 99%

Cognitive radio architecture evolution: annals of telecommunications

Mitola

2009

Ann. Telecommun.

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Cognitive radio research has developed dynamic radio spectrum management to enhance spectrum efficiency, e.g., as secondary users in unused TV bands. The location and user context of the mobile wireless user that regulatory bodies and lawmakers view as significant to spectrum interference policies have not been addressed as thoroughly.In addition, quality of service (QoS) provides a starting point but does not guarantee quality of experience (QoE) that depends on quality of information (QoI) which is a function of place, time, and user state in a social setting (e.g., commuting, shopping, or in need of medical assistance). This paper considers the evolution of cognitive radio architecture (CRA) from dynamic spectrum access (DSA) to QoE via an interdisciplinary perspective. Machine perception in visual, acoustic, speech, and text domains can cue the automatic detection of user state in stereotypical situations, enabling cognitive nodes and networks to select from among radio bands and modes more appropriately, thus enabling cognitive wireless networks (CWNs) to deliver higher QoE within technical policy constraints, in a way that makes cost-effective use of embedded and distributed computational intelligence. The control of networks of such cognitive radios requires advances in policy language architectures, so this paper introduces cognitive linguistics for policy languages.

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“…In [9], [10], we successfully applied a biologically-inspired control method to the networking problem. It is called an attractor selection model.…”

Section: How Bio-inspired Approach Is Applied To Amne?mentioning

confidence: 99%

“…Actually, in [9], [10], the above modeling principle is applied to the multi-path routing problem in the overlay network as shown in Fig. 2.…”

Section: How Bio-inspired Approach Is Applied To Amne?mentioning

confidence: 99%

Towards Establishing Ambient Network Environment

Murata

2009

IEICE Trans. Commun.

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SUMMARYIn this article, we introduce a new concept for the future information environment, called an "ambient information environment (AmIE)." We first explain it, especially emphasizing the difference from the existing ubiquitous information environment (UbIE), which is an interaction between users and environments. Then, we focus on an ambient networking environment (AmNE) which supports the AmIE as a networking infrastructure. Our approach of a biologically inspired framework is next described in order to demonstrate why such an approach is necessary in the AmIE. Finally, we show some example for building the AmNE. key words: ambient information environment, ambient networking environment, interactions, bio-inspired approach, dynamical system IntroductionThe ubiquitous information environment (referred to as UbIE below) has been actively developed as the Internet becomes a societal infrastructure. However, it is now recognized that while the importance of the UbIE is apparent, its diffusion in the society is still limited. One reason is of course that it requires time for the new technology to be broadly utilized in the "ubiquitous fashion." For example, in Japan, UNS R&D Strategic Program II is recently published to accelerate the research and development in the UbIE field towards the ubiquitous society [1]. In our view, however, more important is that we need "design principles" or "an overall architecture" for exploring the new technology like UbIE. Also, we consider that interactions among users and real/virtual environments should be explicitly involved in such a design principle of the new information environment. Taking into account those factors, we are now conducting the new project for AmIE [2], putting an emphases on interactions between users and environments, which will be introduced later in this paper.This article consists of four sections. In Sect. 2, we will introduce the AmIE, especially devoted to describing the difference from the existing UbIE. Section 3 describes the AmNE, and explains our originality. Also, some example is shown to introduce our approach. Finally we conclude this article in Sect. 4. What is Ambient Information Environment? Introduction to Ambient Information EnvironmentBroadly, "ubiquitous" is defined as: interfaces, environments and technologies that allow users to be unaware of what it is they are using (invisible), and furthermore, to allow interactions anytime, anywhere, and by anyone.However, it is a rather ambiguous statement, and often explained that in the UbIE, the user can access the network every time and everywhere by choosing the adequate communication medium. Technically, its realization would require environmental sensing to detect an existence of wired/wireless communication media and the choice of the adequate medium. However, it would be insufficient for building the actual information environment. For example, according to the network status, another media occasionally become more appropriate to the user. At that time, it should be chosen, but it is ...

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Biologically Inspired Networking

Cited by 19 publications

References 31 publications

A taxonomy of biologically inspired research in computer networking

A taxonomy of biologically inspired research in computer networking

Cognitive radio architecture evolution: annals of telecommunications

Towards Establishing Ambient Network Environment

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