Internet DRAFT - draft-qxhuang-uwn-arch
draft-qxhuang-uwn-arch
Internet Engineering Task Force Q. X. Huang
INTERNET-DRAFT Western Mining Company Limited
<draft-qxhuang-uwn-arch-00.txt> J. H. Hu
Intended status: Informational U. S. T. B
Expires: January 19, 2012 August 18, 2011
Ubiquitous Wisdom Networking Architecture
draft-qxhuang-uwn-arch-00.txt
Abstract
This document describes the concept of wisdom networks. To begin
with, some related intelligent networks are overviewed and the
wisdom network is proposed. Then, the analysis of wisdom node is
outlined. Furthermore, the architecture of wisdom network is
proposed. Finally, open research issues for the realization of
wisdom network are also discussed.
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Table of Contents
1 Terminology.....................................................3
2 Introduction....................................................3
3 Wisdom Philosophy...............................................3
3.1 The concept of wisdom......................................3
3.2 UWN Nodes..................................................4
3.3 The Definition of UWN......................................4
4 The Architectural Description...................................5
5 Open research issues............................................6
5.1 Wisdom measurement problems................................6
5.2 Management of wisdom nodes.................................6
5.3 Network Organization Technical Issues......................6
5.4 Security Problems..........................................7
6 Security Considerations.........................................7
7 IANA Considerations.............................................7
8 Acknowledgments.................................................7
9 References......................................................7
Author's Addresses................................................7
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1 Terminology
The key words "MUST", "MUST NOT", "REQUIRED", "SHALL", "SHALL NOT",
"SHOULD", "SHOULD NOT", "RECOMMENDED", "MAY", and "OPTIONAL" in this
document are to be interpreted as described in [RFC2119].
This document uses terms from [RFC3261].
2 Introduction
This document describes architecture for ubiquitous wisdom networking
(UWN). In the wisdom philosophy description part, the concept of
wisdom is introduced and the definition of the wisdom node in UWN is
given. Furthermore, the document develops the framework of UWN, and
three kinds of architecture are detailed. Since the traditional
ubiquitous network which is based on intelligence can no longer meet
the growing demand for information of humanity, we expect the UWN
architecture described here to be utilized in various practical
applications, including those subject to technologies of remote
monitor in the construction of digital mine.
In a sense, the architecture of UWN provides a common goal for
network-related parties, which is to increase the wisdom of
networks. Through the introduction of the wisdom, UWN will realize a
high degree of unity among the academic research, technology
development, equipment manufacturing, network operation and policy
setting.
3 Wisdom philosophies
3.1 The concept of wisdom
First we should make it clear that wisdom is different from
intelligence. This can be expressed as the following three aspects.
Firstly, the relationship between intelligence and wisdom is not
including simply, because their abilities involve kinds of fields
respectively. Secondly, they emphasis different aspects -
intelligent emphasis the ability, while wisdom emphasis the
perception. Thirdly, the objectives to be achieved are distinct -
intelligence goes to the improvement and perfection, while wisdom
is faced to surpass the boundary.
Generally, wisdom can be distilled from knowledge, knowledge can be
derived from information, information can be gathered from data and
finally data can be assembled, acquired, switched and channeled by
the existing tools and techniques borrowed from computer science and
network technology. To a network, wisdom is acquired as follows:
to begin with, the collected raw data is processed to information.
Then, through controlling the information, we establish a credible
and persuasive knowledge base. Finally, wisdom extracted from the
knowledge base, and other knowledge with no wisdom we call it simple
knowledge.
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3.2 UWN Nodes
The nodes in UWN are wisdom nodes. According to the level of the
wisdom that the node has, we classify four kinds of wisdom: Super
Wisdom (SW), High-level Wisdom (HW), Mid-level Wisdom (MW) and
Elementary Wisdom (EW). Then, four kinds of nodes are obtained, i.e.
elementary wisdom nodes, mid-level wisdom nodes, high-level wisdom
nodes, and super wisdom nodes.
The EW is the basic wisdom that any nodes should possess while only
very few nodes have SW. The wisdom amount of a node is unfixed during
its lifetime. The node which has low level of wisdom can raise their
wisdom capacity to a high level over time.
There are two extreme cases when wisdom is measured. The first case
is that wisdom is infinite, and it corresponds to the probability of
the inevitable occurrence event in the standard event field, namely
1, and that is the case of SWN. The second case is that there is no
wisdom, which corresponds to the probability of the event that is
unlikely to occur in the standard event field, namely 0. The two
extreme forms can be obtained from the definition, but in real life
situations turn up between them.
3.3 The Definition of UWN
The UWN is a communication network composed of kinds of wisdom
nodes, and it provides ultimate services which based on the wisdom
for network users. One with a high perception can improve ability
easily in kinds of fields. But in turn, one of many-sided abilities
is not likely easy to improve its perception. Therefore, the network
with the highest wisdom capacity is the ideal network, and it is the
ultimate requirement.
The UWN reflects the wisdom characteristic in 3 aspects: (1) when the
network is handling with the incident, it can always select the best
kind of strategy; (2) the network can know its insufficient aspects
by itself to realize new or potential needs from users, thus it can
prepare for the implementation; and (3) the network can improve the
wisdom ability of the outside through the dynamic learning feedback
mechanism.
In UWN, both human beings and other objects use their own wisdom
smoothly, and they wisely provide and accept kinds of services.
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4 The Architectural Description
The UWN architecture can be descript from three constituent parts,
i.e. the layer architecture, the abstract architecture, and the
technological frame.
The layer architecture of UWN consists of the application layer,
wisdom layer, transport layer, network layer, data link layer and
physical layer. We give the transport layer, network layer, data
link layer and physical layer a joint name - general based layer.
The layer between general based layer and the application layer is
the wisdom layer. The function of each general based layer is similar
to the according layer in traditional networks. The new layer -
wisdom layer provides services that network wants. The wisdom layer
is able to connect low layers, in DTN [1], the wisdom layer is
depicted as the bundle layer, and thus the application programs can
achieve multi-regional inter-communication.
The abstract architecture consists of the perceptive extension plan,
network plane and service and application plane. The main function
of the perceptive extension plan is to realize information
collection, capture and object identification. The network plane
optimizes network features according to the perceptive extension
plan, to support material-to-material and material-to-man or
man-to-material communication well. The service and application plane
is oriented to various applications. The task of this plan is to
realize the information processing, collaboration, sharing and
decision.
The technological frame consists of the data platform, control
platform, knowledge platform, management platform and service and
support platform. In [2], the data platform, control platform and
knowledge platform are described clearly. It depicted that the data
plane concerns the basic data necessary for the localization process,
the control platform is in charge of controlling data plane's
entities in order to retrieve the necessary data, and the knowledge
platform provides a global view of all information concerning the
network. The management plane involves all management issues, such
as mobility, task, security, etc. The service and support platform
involves many fields, such as common middleware, information opening
platform, cloud computing and service support.
The correlation between the abstract architecture and the
technological frame is that, according to each architecture function,
the data platform corresponds to the perceptive extension plan,
control platform, knowledge platform and management platform
correspond to network plane, and service and support platform
corresponds to the service and application plane.
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5 Open research issues
Many open research issues in UWN that need in-depth study inevitably
exist. We list four important issues here.
5.1 Wisdom measurement problems
In UWN, the specific wisdom capacity measurement is an emergent
problem needed to be solved. Moreover, when the wisdom node can
be considered reaching a high wisdom level as the wisdom capacity
increases is worth discussing.
Two aspects should be considered. The first one is the definition
problem, such as definitions of the standard event field and its
probability; the second one is the equivalent mechanism establishing
problem. The primary problem that should be taken particular
attention during researches is that there is no uniform standard for
wisdom comparison at all. To be intuitively, the wisdom shown in
harsh environments is higher than it shown under normal conditions
when choose a good strategy.
5.2 Management problems of wisdom nodes
Since wisdom nodes are deployed arbitrarily in UWN, relevant
mechanisms that nodes join and exit the network needed to be
established, and how to describe items of the mechanism will also be
an issue. Moreover, the wisdom network can not be limited to
distribute on the earth only. That is because the concept of SP is
too small, and the wisdom network need to exceed the scope of the
earth. Therefore, we can extend the wisdom network to universe in
future, and establish various kinds of wisdom networks, such as the
wisdom solar system network, the wisdom Milky Way network, the wisdom
galaxy cluster network and the wisdom galaxy cluster network.
5.3 Network Organization Technical Issues
Self-organization in the wisdom network involves a lot of related
technology researches, such as OFDM modulation and demodulation
technologies, channel coding and decoding technologies,
synchronization technology and RFID, etc. The wisdom network must
be the trend of future networks, and its application will be very
extensive. For various applications and different networking modes,
how to organize the network nodes effectively will be an open
research issue.
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5.4 Security Problems
In UWN, the number of nodes is very large, so the network security
issue will be an important aspect that should be considered
seriously. In order to realize the secure network environment for
interactive identification information and to start the appropriate
security mechanism in a dynamic way, security issues of UWN become
unavoidable.
Other than cryptography, key management, routing security, location
aware security, data fusion security, physical security and data
link security, we also need to consider the security of the wisdom
layer (e.g. the authentication problem of wisdom nodes).
6 Security Considerations
Security is an integral concern for the design of UWN Architecture,
but its use is optional. Sections 5.4 of this document present
some factors to consider for securing the UWN architecture.
7 IANA Considerations
This document does not have any implications for IANA.
8 Acknowledgments
The research was supported by National High Technology Research and
Development Program of P. R. China (No.2009AA062705).
9 References
[1] V. Cerf et al, "Delay-Tolerant Networking Architecture", RFC
4838, April 2007.
[2] Mathieu Bouet, Shahab Gashti, Guy Pujolle. "An Energy-Aware
Autonomic Architecture for Localization in Ubiquitous Networks",
Proceedings of Wireless Communications and Networking Conference,
April 2009.
Author's Addresses
Qiuxiang Huang
Western Mining Company Limited
No. 52 Five Four Street, Xining, Qinghai, 810001
P. R. China
Email: hujiahui17@126.com
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