Integrating Wireless Sensor Network into Cloud Services for Real-time Data Collection

Colorado's flash floods, September 17, 2013

Fukushima Daiichi nuclear disaster, March 2011

Yosemite National Park, August 22, 2013

We don’t want to be there………
………..but we need information

International Conference on ICT Convergence 2013

Integrating Wireless Sensor Network
into Cloud Services for Real-time
Data Collection

Presenter: Rajeev Piyare
Department of Information Electronics Engineering
Mokpo National University
rajeev.piyare@hotmail.com

Outline
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•
•
•
•
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Abstract
Prior Work
Proposed Architecture
Connecting Sensor Networks to Cloud
Results and Discussion
Conclusion

Abstract
• This paper presents an extensible and flexible
architecture for integrating Wireless Sensor Networks
with the Cloud.
• For proof of concept, Representational State Transfer
(REST) based Web services on an IP based low power
WSN test bed has been set up, which enables data
accessibility from anywhere.
• The alert feature has also been implemented to notify
users via email or tweets for monitoring data when they
exceed values and events of interest.

Prior Work
Problems:
 Architecture of these systems has been designed in a very
ad hoc fashion.
 Not flexible to adapt to other applications or scenarios
 Decision making process is executed at a single central
point .
 Coordinator is the central point of access for all applications
and sensor contributors where all the sensor data is stored
and analyzed.
 Power consumption.

Solution
 Various decision levels can be implemented onto different
architectural layers.
 Flexible architecture for integrating WSN to Cloud using
REST based Web services as an interoperable application
layer.
 To reduce energy consumption and to increase the network
lifetime, sleep mechanism for battery powered sensor
nodes have been utilized.
 Inclusion of Alert feature

Description of Proposed Architecture
The architecture of the proposed system is divided into three layers:
Sensor Layer, the Coordinator Layer and the Supervision Layer.

Figure 1. Proposed Architecture

Sensor Layer
• consists of sensors that interact with the
environment.
• Mesh network and send the information
gathered by the sensors to the Coordinator
Layer through the sink node called the base
station.
• XBee ZB module has the capability to directly
gather sensor data and transmit it without the
use of an external microcontroller.
–
–
–
–

the overall size of the nodes are reduced.
minimizes weight
reduces power consumption
cheaper

Coordination Layer
• responsible for the management of the data
received from the sensor network.
• temporarily stores the gathered data into buffer
and sends it to the Supervision layer at predefined
intervals.

• serves as a mobile mini application server between
the wireless sensors and the dedicated network
and has more advanced computational resources
compared to the End Devices found in Sensor
Layer.
Base Station

Supervision Layer
• stores the sensor data in a database and
also offers a Web interface for the end
users to manage the sensor data and
generate statistics.
• offers a graphical interface for real-time
monitoring of systems

• Automatic alert and notification to the user
– Email
– Twitter
– SMS

Connecting Sensor Network to Cloud (1)
• the access to Cloud services has to be easy, direct, open
and interoperable.
– to utilize Web services
– Simple Object Access Protocol (SOAP) and Representational State
Transfer (REST).
– REST is a much more lightweight mechanism than SOAP offering
functionality similar to SOAP based Web services.

• Open.Sen.se is an open source “Internet of Things”
application and API to store and retrieve data from things
and sensors using Hypertext Transfer Protocol (HTTP)
– Supports JSON, XML and CSV formats for integration into
applications

Connecting Sensor Network to Cloud (2)
• GET and POST requests is used that return JSON responses to
communicate between the base station and the Open.Sen.se server.
– JSON is easy for human beings to read and write and simpler for machines
to parse and generate messages than using XML.

• To read the current sensor value, an HTTP GET request is sent to the
resource of the sensor
• HTTP POST request is sent from the base station to the Cloud for
updating the data entry.
• For authentication, Open.Sen.se server is protected with a Sen.se key
which is specific and unique to each user.

Results and Discussions
 WSN was created to collect temperature and battery voltage
readings.
 Preliminary experiments were performed to evaluate the
system in terms of
– sensor data accessibility
– alert notification time
– battery consumption
– Senseboard>> to present the collected data to the user in
an easy and meaningful way.

Senseboard

Figure 6 shows the real-time acquisition curve on Open.sen.se Cloud services

Event Notification
• An event notification system is also implemented on
Open.Sen.se server based on measurements from sensors
and predefined If-conditions.
– allows monitoring End Devices supply voltage, temperature etc..
– send a notification alert to the user via a push email, SMS, or tweets.

Figure 7. Notification Email to alert the user on low battery voltage

Event Notification Time delay

Ten trials were conducted and it is observed that it takes about
8-13s and an average of 11s for the notification email to be
auto generated and delivered to the user on their specified
email account from the Open.Sen.se server

Battery Lifetime of the End Devices
 Replacing batteries regularly is inconvenient.

 Using cyclic sleep mechanism.
 Data Packet size.
 Carried out for End Devices since coordinator is
mains powered.

Battery Lifetime (2)
I act ( n ) 

tonoff I onoff  tlistenI listen  ttrans( n ) I trans
t active( n )

ttrans( n ) 

8  (31  n)
r

tactive( n )  tonoff  tlisten  ttrans( n )
I drain( n ) 

tactive( n )

L

T

 t active( n ) 
 I sleep
I act ( n )  1 

T 



C / ( I drain( n ) 1000)
365  24

(1)

(2)

(3)

(4)

(5)

Figure 8. Wireless Sensor Network Node
lifetime with different packet size and update
period

Conclusion
 Flexible architecture for integration of Wireless Sensor
Networks to the Cloud for sensor data collection and
sharing.
 Embedded intelligence at different architectural layers to
accommodate for the diverse requirements of possible
application scenarios with minimum redesign and recoding.
 Results illustrate that the sensor data can be accessed by
the users anywhere and on any mobile device with internet
access.

Thank you all for your attention

Integrating Wireless Sensor Network into Cloud Services for Real-time Data Collection

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