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System zur kontextabhängigen, zweckgesteuerten Selbstkonfiguration und Verfahren der autonomen Erweiterung lokaler Datennetze

A Novel System Paradigm for Self Growing Wireless Networks
 
: Bochow, B.; Schuster, M.; Thiem, L.; Tiemann, J.

:
Fulltext urn:nbn:de:0011-n-1323203 (223 KByte PDF)
MD5 Fingerprint: b33fdfaaec1b7acf82ff8bbb21b04c62
Created on: 2.6.2010


2010, 16 pp.
German
Study, Electronic Publication
Fraunhofer FOKUS ()
self growing networks; software defined systems; networking roles; evolutionary networks; incident driven communication; sensor networks

Abstract
This paper introduces a novel paradigm for autonomic and self-managing wireless communication networks denoted herein as 'self-growing' and 'purpose-driven'. In this it is focusing on a specific convergence of wireless communication networks supporting machine-to-machine communication and sensor networks for control and monitoring applications based on reconfigurable network nodes and topologies, and dedicated to enable versatile use of a deployed network infrastructure.
The reconfiguration capacity of network nodes (e.g., available wireless interfaces, software radio modules, sensor or actor modules, protocol stacks, software and hardware interfaces ...) and of the network (e.g., topologies supported, collocation and implementation of services, connectivity, routing ...) determines the target purposes that can be attained by a system implementing the approach presented.
In this approach, the 'purpose-driven' property is characterized by the method used to control the reconfiguration of a suitable sensor and communication platform towards a give target purpose applying a set of a-priori known or learned rules to approach a new purpose.
The 'self-growing' property of the approach presented is based on a network/node capacity that allows augmenting functionality by either introducing new nodes, or by adding functionality to existing nodes.
The 'target purpose' is assumed to be determined by human interaction or by cognitive decision making based on changes in the operational (by internal stimuli) or environmental (by external stimuli) context.
A 'purpose transition' is either based on a soft-reconfiguration potentially initiated by cognitive decision making, or by adding nodes manually or by an artificial cognitive process that 'utilizes' or 'acquires' nodes temporarily from geographically collocated networks.
State-of-the-art and upcoming software-defined systems will provide a continuously increasing capacity to adapt networks to dedicated purposes either in the course of their planed lifecycle, or in responding to some external incident. Networks deployed on construction sites, industrial facilities, or in an incident area may be taken as concise application examples. A cognitive plane then adds the capacity for decision making such that the network can (ideally) automatically switch its purpose on demand (e.g., reconfiguring from a sensor network to a voice and data communication network and vice-versa), or respond to an exceptional situation (e.g., switching between sensor network, incident area network and communication network upon some incident detected by the sensor network initially).
That is, let's say, a sensor network is requested to provide an increased spatial-temporal resolution of data gathered, that both requires enhanced functional or communication capacity of nodes as well as an increased node density. The cognitive functions of the network respond by applying available reconfiguration rules that are decided to match best the required transition from an initial operational purpose towards the requested target purpose. In the course of transition both network and network nodes are reconfigured.
While it can easily be understood that a functional change of nodes and network can be achieved be soft-reconfiguration, increasing the node density in this example requires a degree of (network-assisted) planning. That is, physically adding nodes to the network might require human interaction but temporarily 'acquiring' or 'utilizing' nodes of a collocated network may be well within the capacity of autonomic reconfiguration.

: http://publica.fraunhofer.de/documents/N-132320.html