IEEE Systems, Man and Cybernetics Magazine - July 2023 - 42
system cost. This is because the
system uses a greater number of
devices for performing an increased
number of instructions in the given
delay and energy thresholds. Figure
2(a) also shows the impact of
delay on the system cost. We can
minimize the system cost by
increasing the delay threshold for
an increased number of instructions.
The delay threshold
T ,th
varied
from 300 to 1,000. These values
can be adjusted based on the
requirements of use case. The
results show that the cost of the
system depends on the delay
threshold, number, and cost of different types of devices.
Figure 2(b) and (c) demonstrates the impact of the number
of instructions on the number of devices. Figure 2(b)
shows that the number of type 1 devices increases with
respect to the number of instructions to be performed. It
10
20
30
40
50
60
70
80
100 200 300 400 500 600 700 800 900 1,000
Number of Instructions
(a)
10
12
2
4
6
8
100 200 300 400 500 600 700 800 900 1,000
Number of Instructions
(c)
Tth = 300
Tth = 700
Tth = 500
Tth = 1,000
Figure 2. An illustration of the effect of the number of instructions on the system cost and the required number
of devices with different delay threshold. (a) The cost of the system. (b) The required number of type 1 devices.
(c) The required number of type 2 devices.
42 IEEE SYSTEMS, MAN, & CYBERNETICS MAGAZINE July 2023
The development of
a channel-net with
higher performance
is highlighted as a
next step in reducing
interference and
transmission errors in
LoRa communication.
is also observed that by increasing
the delay threshold, we can minimize
the number of devices which,
in turn, minimizes the cost of the
system. The impact of the number
of instructions on type 2 devices is
shown in Figure 2(c). Type 2 devices
also increase in number with
respect to the number of instructions,
but we can see a very minimal
increase compared to type 1
devices. This is because the cost of
type 2 devices is higher than type 1
devices, so the system considers
fewer type 2 devices to minimize
the system cost.
Conclusion and Future Work
In this article, an LCDT method for smart building data
is proposed. Compression-decompression models based
on DL estimate the energy and communication delay for
10
12
14
16
18
20
2
4
6
8
100 200 300 400 500 600 700 800 900 1,000
Number of Instructions
(b)
Cost of the System
Number of Type 2 Devices
Number of Type 1 Devices
IEEE Systems, Man and Cybernetics Magazine - July 2023
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