![](bg4.png)
Distributed
Tagged/Intelligent
devices
Reader 1 or
Profibus/Profinet enabled
device
Reader 3 or
Profibus/Profinet enabled
device
Reader 2 or
Profibus/Profinet enabled
device
Edge Server
Integration layer
1 65432
Tier 1:
Devices with
overlapping
fields
Tier 3:
Integration
Tier 2:
Edge Server
Tier 4:
Packaged
Applications
Figure 5: 4-Tier Reference Architecture.
The Tier 3 also enables it as self-healing and self-
provisioning service architecture to increase
availability and reduce support cost. Control
messages flow into the system through business
application portal to the integration layer, then on to
the edge and, eventually, to the reader. Provisioning
and configuration is done down this chain, while
reader data is filtered and propagated up the chain.
3 CONCLUSIONS
The main idea behind two processes is
decentralization. The communication delay is
reduced at the cost of increased intelligence at the
local level. In fact, if we look at equation (1) we see
that d
1
(t), d
2
(t) and d
3
(t) minimize to a level when
problem of the node device exceeds the threshold
level of the agent intelligence. If collaborative
intelligence exceeds combinatorial complexity then
there is no need of communication between devices
and the controller and requirements of the central
process reduce to that of the design of agents only.
Thus, the performance matches to that of the
centralized MIMO system. The four-tier modular
architecture at central level helps in implementation
of distributed intelligence at field level and in
designing of agents. The functionality more
appropriate to the layer has been fit into respective
tiers at central level. Additionally, design and
reconfigurability can help introduce features in
agents to thwart intrusive agents, during real time.
This set of gains has not been claimed in either of
the approaches (E. Tovar, 1999, A. Willing, 2003).
ACKNOWLEDGEMENTS
This work was financially supported by UAE
University under a grant no. 01-04-7-11/07.
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