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CHAPTER 6
RESULT & DISCUSSION
6.1 Communication between two nodes using mail
Figure 6.1 and 6.2 shows snapshot of mail boxes and indicates that node 1 sent the mail to
node 2 using their respective mail ids. Selected option, mail id and sensor IoT sent mailbox are
shown as 1, 2 and 3 in the snapshots. Figure 6.3 shows the mail box of Device IoT. It indicates
that node 2 receive the mail from node 1 using their specified mail ids. Device IoT mail, inbox
of Device IoT received mail from node 1 as shown as 1 and 2 in snap shot. Figure 6.4 shows
the Device IoT mailbox which clearly indicates the mail received from Sensor IoT.
Figure 6.1 Selected option (2) Mail ID and sensor IoT (3) sensor IoT sent mailbox
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Figure 6.2 Selected options (2) sent mail of Sensor IoT
Figure 6.3 Device IoT mail (2) inbox of device IoT received mail from
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Figure 6.4 Selected option (2) device IoT mail (3) inbox showing mails received from
sensor IoT
Self-powered energy aware nodes which are enabled by Wi-Fi network and capable of
communicating self using mail box based on Internet of Things is proposed in this research. In
this setup all the nodes are connected to one another through Wi-Fi and communicate on the
Internet Protocol version 6 (IPv6). Here two nodes are accessing their own mail box,
according to the specified work indicated in the mailbox and the required action is taken. We
have implemented sensor side interface IoT and Device side interface IoT to communicate
both two nodes self using their mail id. This research work demonstrates that node 1 writes the
control action to be taken at the mail [email protected] and node 2 opens the mail reads the
message content and appropriate action is taken place.
6.2 Performance metrics
Average Queue Size
The average queue size depends on the previous average value and the present value of the
queue. Theformula for finding average queue size is given below
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avg = O * (1 - 2-n
) + C*( 2-n
)
Where n is the user-configurable exponential weight factor, O is the old average value
and C is the current value of queue length. For getting higher values of n, the previous value of
average should be more important.
Throughput
Throughput is defined as the average rate of successful message delivery over the
specified communication channel. It is generally measured in bits per second (bit/s or bps) and
sometimes in data packets per second or data packets per time slot
6.3 Performance analysis of the wirelessLan
This work will form a supplement to the earlier work titled „Self Powered Energy Aware
Internet of Things‟, embedded things with IP address and the ability to communicate self
using mailbox/message concept. WirelessLan network is used to create a self configurable
network. Nowvarious performance metrics of WirelessLAN is analyzed using Network
Simulator Tool, OPNET.
WLAN access point (AP) is capable of relaying traffic coming from any of its neighbors.
The metrics like wireless LAN average queue size, wireless LAN average load, average (in
wireless Lan Data Traffic Received (bits/sec)), average(in wirelessLan Data Traffic
sent(bits/sec)), throughput, delay and retransmission attempts have been used for performance
analysis of the wireless computer networks using simulation through OPNET Modeler.
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Figure 6.5 Average Data Traffic Sent(bits/sec) in WirelessLan
Figure 6. 6 Average Data Traffic Received(bits/sec) in WLAN
Figure 6.5 & 6.6 shows the average data sent and received by mobile nodes in
wirelessLan where all mobile nodes are using different trajectories. The amount of data sent
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and received by the mobiles depends on their distance and its movement from the server.
Figure 6.7 shows the overall load of the network when five mobile nodes are moving in
different directions.
Figure 6.8 indicates the throughput in wirelessLan network. In a wireless LAN, throughput
is defined as the fraction of time that a channel is used to transmit payload bits successfully.
When user population is increased beyond the specific limit, throughput decreases. The
throughput of Wi-Fi keeps on changing within some certain range due to overhead collisions
and propagation delay affecting at that time. Figure 6.9 shows WirelessLan Queue size
(packets). Queue size can be studied based on the factors such as size, priority or time of
arrival of data within queues. Average Retransmission Attempts in WirelessLan (packets) is
shown in Figure 6.10. In this research, five mobile nodes are tranfering the information with in
certain distance and Queue size as well as average retransmission rate will not be changed
tremondously.
Figure 6. 7 Average Load(bits/sec) in WirelessLan
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Figure 6.8 Average Throughput in WirelessLan (bits/seconds)
Figure 6.9 WirelessLan Queue size (packets)
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Figure 6.10 Average Retransmission Attempts in Wireless Lan(Packets)
6.4 Results of IoT applications
6.5 Case (i) Smart parking
Figure 6.11 and 6.12 shows Server Screenshots of the IoT based application, smart parking
of vehicles.
Figure 6.11 Server Screenshots
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Figure 6.12 Raspberry Pi Screenshots (IoT node)
6.6 Checking data on server (screenshots)
In this setup, actual IP address & port address on web browser (192.168.1.9:8000) are
assigned and the results obtained are as shown in figure 6.13.Whether slot is occupied (or)
empty can be checked by giving the actual IP address & port address in web browser with
state (192.168.1.2:8080/state/1/) and the results are updated on server. Figure 6.13 and 6.14
show the Screen shots of checking data on Server and Raspberrr Pi screenshots respectively.
Figure 6.13 Screen shots of checking data on Server
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6.7 Case (ii) weather reporting system
Raspberry Pi Screenshots
Figure 6.14 Raspberry Pi Screenshots- Weather reporting system
6.8 Updated data on twitter
Internet of Things based solution for environmental information sharing and
communication with inbuilt automotive electronics is presented in this work. The research
provides the vehicle user with environmental conditions dynamically and uses open source
cloud and twitter services along with hardware. For this purpose master slave architecture is
used. Data acquisition logic and control algorithm is driven by slave module and master
module respectively. The data acquisition rate is increased greatly and it is used for fast
motion system. The remote monitoring activities are effectively transformed into access within
the reach of vehicle users. Figure 6.15 shows Screenshots of weather update using Twitter.
Twitter interfaced with raspberry-pi to get the data from weather reporting bot and displayed
in twitter. Weather reporting bot is used to collect data on environmental conditions such as
temperature, pressure, humidity and light in an area using multiple end nodes shown in Figure
6.15.
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Figure 6.15 Screenshots of weather update using Twitter
6.9 Case (iii) smart irrigation
Raspberry Pi ScreenShots
Figure 6.16 to 6.18 show screen shots of smart irrigation results.
(in terminal window)
Figure 6.16 Screenshots of smart irrigation – 1
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Figure 6.17 Screenshots of smart irrigation – 2
Figure 6.18 Screenshots of smart irrigation – 3
6.10 Case (iv) Air pollution monitoring
Figure 6.19 to 6.21 show the Raspberry Pi ScreenShots of air pollution monitoring.
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Figure 6.19 Screenshots of Air pollution monitoring – 1
Figure 6.20 Screenshots of Air pollution monitoring – 2
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Figure 6.21 Screenshots of Air pollution monitoring – 3
6.11 Chapter Conclusion
This Chapter deals with the results of mail communication between the two IoT nodes
and various performance metrics of WirelessLAN network. Also the results of IoT based
Smart parking, IoT based Weather reporting bot, IoT based Smart irrigation and IoT based Air
pollution control are shown and analyzed. Internet of Things based solution for environmental
information sharing and communication with inbuilt automotive electronics is presented in
this work. This research provides the vehicle user with environmental conditions dynamically
and uses open source cloud and twitter services along with hardware.
