6147
A New concept of Smart Universities Using
Internet of Things (IoT)
Alan AchenkunjuJohn, P Venkatesh Kumar
Abstract: The network which is used to collect andexchange data by enables the Physical objects-devices, buildings, vehicles and other items embedded with electronics, sensors, software and network connectivity of Internet is known as Internet of Things (IoT). The properties of IoT are product information, electronic tag, uploading information and Standard expressed. It utilises the Modern methods Wireless Sensor Networks (WSN) and Radio Frequency Identification (RFID). The objects to be controlled and sensed through network and remotely accessed across existing technology of the infrastructure. Recently, many countries and local governments have been planning to implement an IoT-based smart buildings, smart vehicles, and smart education system and waste managements. This paper summarized tangible IoT based models which are helpful to provide better Education, Academic and Research for the future by building of Smart University.
Key words: IoT, Smart University, Smart buildings, Smartvehicles, Smart Education, RFID, WSN, Sensors.
—————————— ——————————
I. INTRODUCTION:
This third wave of information technology right after mobile communication network and Internet, which is characterized by more intelligence and comprehensive Interoperability. The definition, components, status and status of Internet of Things (IoT) [1] are introduced, and possible Research that can be implement IoT in a smart University are examined. Internet is one of the most invention done by humans, now Internet of Things (IoT) doing a major role all over the world to build up a new era for Technologies Internet of Things (IoT) are making reaction in the way of methods where people are working, practising, learning, and living theories. There is a revolution is coming in the field of higher education. Internet is integrating with institutions for providing better changes in education, in the research ,management, learning system other aspects like campus building, hostel and it will be a huge impact to the future generations. IoT is bring a new Interconnection with Things to Things (T2T), Human to Human (H2H), and Human to Things (H2T) [2].The technology for IoT and higher education should complexity to the intelligent systems. Internet of Things (IoT) is making a happiness life and social harmony by intelligent network tools by virtual digital for the communication for both digital and real world with help of their own network systems. In thispaper we are actually introducing the security and safety to provide better
power saving, access control systems,
Situationmanagement, emergency warning, and alarm monitoring. Student services: Remote campus monitoring,
digital recordsmanagement, smart education and learning networks Identity: smart card systems and biometric systemsUtilities: Facilities management (e.g., energy, water), climate control, energy production and Storage management, network management, Water, energy and gas leak detectionEnvironment: Data monitoring and collection monitoring (noise, air, water, pollution, etc.).
II.
SMART
UNIVERSITY
MODEL
REQUIREMENTS BY IOT
The researchers conducted by Pike on Smart
Implementations through IoT. They estimated that by 2020 the world is fully transformed into Smart with help of Internet. We have recently gained a significant attention in University using the concept of [4] Internet of Things (IoT). IoT technology and other related technologies like Wireless Sensor Network (WSN) and there applications for software testing were used in cost effective, updated and easy to handle through various network chains developing a good environment. A typical smart university is built on the basis several sensors that communicate with a central application to main network and the branches. This application is integrated through various works as the Integrator and Gateway, Radio Frequency Identification (RFID) [5] and Wireless Sensor Networks (WSN) etc. In creating a better university system smartly on IoT by good Infrastructure for both teaching and learning, developing secured and effective applications and software’s for research and studies.
A. Basic Model for Smart University
The Basic Model of University (typical architecture model are shown in Fig.1) includes the requirements like Administration, Office, Departments, Research and Development, Laboratories, Library, Auditoriums, Cafeteria, Stores & Purchases, Sports Centre’s, Transportation, Power House, Mess, Hostel etc. These can be changed by adapting the newly invented technology with help of Internet to the field of learning, teaching, researches, facilities, other basic needs of the Universities.
______________________
Alan AchenkunjuJohn, Student,Department of Electrical & Electronics Engineering, Karunya Institute of Technology & Sciences,Coimbatore, India E-mail: [email protected] Dr. P Venkatesh Kumar, Assitant Professor – Department of
Electrical & Electronics Engineering, Karunya Institute of Technology & Sciences,Coimbatore, India
6148 Fig.2. Smart University Model
B.RFID Identification
Radio Frequency Identification (RFID) [5] is major emerging technology used for built up a Smart University for Attendances of Students, Teachers and Staffs. Using this low cost and secured wireless technology for identification of objects. We can easily obtain the location via tracking and remote sensing [14], recently they are used for bar code technology so with the help of internet connectivity through each and everyone in the data base [6] and easily identify the bunkers and more help to make some smart branch operations and without any permission non-one can enter in to the campus. RFID identify and transfer things using radio waves and collect information with help of Reader [13] not any physical contact in RFID system. The Radio Frequency Identification system working main two components Transponders (Electronic Tags of RFID) [15] and Transceivers (Readers of RFID).The electronic tag consist of memory record information, microchip, Universal Identification (UID) and transmit through an embedded antenna. The electronic tags of RFID [13] is attached to the components which have to be monitored and information is to be shared. The readers on the tag is flashed due to signals received by the antenna, the electronic tag responds by transfer their EPC to the reader and it transmits the data from EPC to the computer and shared through internet.
C. Wireless Sensor Network(WSN)
These sensors play a major role in connecting the physical world to the internet world [16]. These also monitoring the changes happening in and around the environment such as room temperature controlling, power leakage [19], AC, ventilations, supplies and inventory tracking etc.; and report them immediately so that corresponding solution taken easily. Wireless Networks help in the short-distance communication among buildings, objects and all by in a smart monitoring way. The working of WSN [7] consists of nodes which contain sensors, memory cards, transceiver, micro controllers and battery supply. The sensors are mainly used to collecting data and transferred to the sink
node [9] (main node). It redirecting the destination of the sender and receiver this may done by coordination of several node and the signal joint together.
D. Robotics System
Now a day’s robotic technology become widespread we can use for various applications [3]. Menial tasks that human don’t want to do like garbage collection, cleaning and all other activities. This will implement in the University is more helpful for cleaning and e-waste management and for all other stuffs. It can be controlled by the main server with help of IoT.
III.
IMPLEMENTATION
OF
SMART
UNIVERSITY BY IOT APPLICATIONS
III.A. Applications using RFID in Smart University
Radio Frequency Identification (RFID) is most essential applications which can implemented for a smart education system for attendances purposes, and tracking students. It can also be used in library and for document tracking and management.
a. RFID Attendance System
Students are given ID cards affixed with UHF RFID tags and antennas the location will track by the RFID badges (block diagram shown in Fig.2a) in as the attendee visits classes, seminars, laboratories, libraries and other activities Student Safety India provided Smart Attendance systems that track the Student's attendance using a simple smart ID card, that transmits the parents mobile an SMS that the student has left/reached the University.
Fig.2a. Block diagram of RFID System
6149
Fig.3. Graph of Wireless Devices Fig.2b. RFID interaction with barcode in Library
III.B.WSN devices for the Building of Smart University Wireless Sensors are most compatible method used in the field of Internet of things (IoT) [17] and other fields These also monitoring the changes happening in and around the environment such as room temperature controlling, power leakage, AC, ventilations, supplies and inventory tracking etc.; and report them immediately so that corresponding solution taken easily. Wireless Networks help in the short-distance communication among buildings, objects and all by in a smart monitoring way. Area monitoring is the major application of Wireless sensors in this WSN [10] develop an area of re3gion for the monitoring. Give proper security instructions for breaching, unwanted activities in and around the region. Water monitoring [17] which helps to find the purity, quality and other related things and give proper accurate water status for the drinking and other usages. Energy wastage [19] should be calculated and gave proper guidance for energy saving and calculated the enter area leakages and give direct information to the technical departments with help of IoT. By using WSN we can implement different energy saving devices for the storage and less power consumption and maximum output. The graph showing (Fig.3. Graph of Wireless Device) the present stage of world who were using wireless applications in various sectors with the help of IoT and other electrical, mechanical usages of past years were gradually increasing doubled the previous years.
III.C. Applications using Robotics in Smart University Robotics is another method we can use for various applications [3]. Menial tasks that human don’t want to do like garbage collection, cleaning and all other activities. This will implement in the University is more helpful for cleaning and e-waste management and for all other stuffs. With help of IoT will monitoring the entire works and give proper information’s and guidance to the robots.
III.D. Other Smart Devices
Smart Band/Watch: - It will used for the applications like tracking biometric and important information regarding the works, assignments, projects etc.
Tablets: - Instead books we can use the Tablet for notes and other purposes like e-books etc. This will helpful to study and store data and information as more relevant.
Virtual Class: - This will provide visual magic for the students and for the learning process and we can study things easily without going to the industry, labs and it will provide virtual experience we can do the experiments with help of wireless controllers. Virtual class give proper way of learning topics easily and more efficiently.
Smart Board: - We can use smart boards instead of using projectors and all it will help to taught and learn the things easily for both faculties and students it will directly connected to the Internet and it will helps to provide large amount of information’s and all related thins
E lab: - We can stimulate and construct and do all the laboratory works with help of internet and student can learn the practical things virtually.
IoT Based Biometric Attendance system
Attendance plays a vital role in an institution. And the way that the most of the institution follow is the conventional method that is calling the name and this method is time consuming which effects lecture hours. And there is a chance for fake attendance too. These issues can be easily solved through the help of modern technologies which is more reliable and efficient.This is where the area IoT based biometric attendance system plays a major role which is efficient, fast and most reliable method and this is very simple to implement the most used methods are
Finger print scanner
Iris scanner
Finger print scanner
6150 All the information’s are stored and secured using cloud
and all this information’s can be assessed through API (Application Programming Interference). API is a set of enrolment routines and protocols for accessing a web-based software application or web tool. All this information can be acquired through pushing box API. This is a cloud service that provides cloud notification based on API calls. Using pushing boxAPI it is easy to launch notifications by simply attaching device ID as theargument. All this information will be transferred to hand held device of the respected faculty and the same will be stored in the server and the system will calculate the attendance for each student if the student is below the required attendance notification will be given to student’s parents automatically.
Iris scanner
Iris scanner is the most efficient method because everyone has got different iris pattern. In case finger print scanner, it is comparatively easy to make patterns of finger prints but it is not possible in case of iris scanner and iris scanner quite expensive because it uses high resolution camera to take the image of iris. Rest all the workings are similar to finger print scanner.
Hostel attendance
Through implementing IoT based biometric attendance system it will be very easy to know the current attendance status of the students and all this information is stored in cloud. Parents of absentees will receive a message if they have not taken permission. This same attendance status will be forwarded to mess so that the authorities will get a
clear idea about amount of food needed for the particular day. Through these authorities will be able to reduce the wastage of food.
Mess bill through IoT
This will be very useful for students or staffs that use university provided mess regularly. In present scenario most of the institution use to take fixed amount of mess fee which is not refundable. Through implementing this method of payment, it will be very flexible and transparent. In this we will be using identity card of the recipient for the payment of the amount. The amount will be detected from his or her account automatically when his or her identity card is scanned for purchasing particular food. This can reduce the total amount of money that spends on food. Through this system we can have frequent check on our expenses on food and we can plan accordingly.
Staff room update through handheld Devices
This system is very useful for students. Students will get periodic status of teaching staff that is present for the day or absent for the day so that students can plan accordingly and make their day more efficient. Staff can inform students about lectures or any change in schedules. His actually work as student teacher interference. Through this students and teachers can save their time this interference makes student teacher communication easy and effective.
IV. SECURITY PRECAUTIONS FOR SMART
UNIVERSITY
6151 itself without any relying on human control like new
methods and approaches examples are from machine learning, are required to lead to a self-managing IoT. The techniques of Cryptographic that enables protected data to be stored shared and processed, without the information data’s being accessible to other third parties.Technologies such as searchable encryption and homomorphic are potential peoples for developing such approaches for future.
V.CONCLUSION
The Smart University can be built by proper energy efficient and cheaper by the help of Internet of Things in more secure way Technologies such as RFID, wireless sensor networks and robotics play a vital role in sufficient high performance IOT applications and providing us a better eco-friendly energy efficient infrastructure of Smart University.
VI. REFERENCES
[1] Dr. Ovidiu Vermesan, SINTEF, Norway, Dr. Peter Friess EU, Belgium, “Internet of Things: Converging Technologies for Smart Environments and Integrated Ecosystems”.
[3] Jean-Philippe Vasseur, Adam Dunkels,
“Interconnecting Smart Objects with IP,”
CharalamposDoukas, “Building Internet of Things with the Arduino (Volume 1)”. Tom Igoe “Making Things Talk, 2ndEdition”.
[4] Robert Faludi “Building Wireless Sensor Networks: with ZigBee, Xbee, Arduino, and Processing”.
[5] ArshdeepBahga and Vijay Madisetti “Internet of Things (A Hands-on-Approach)”
[6] Honbo Zhou “The Internet of Things in the Cloud: A Middleware Perspective”
[7] Yinghui Huang, GuanyuLi,”Descriptive Models for Internet of Things”, International Conference on Intelligent Control and Information Processing, August, 2010 - Dalian, China.
[8] Yinghui Huang, Guanyu Li “A Semantic Analysis for Internet of Things”, International Conference on Intelligent Computation Technology and Automation, 2010.
[9] Lu Tan, Neng Wang, “Future Internet: The Internet of Things”, 3rd International Conference on Advanced Computer Theory and Engineering (ICACTE), 2010. [10]Guicheng Shen, BingwuLiu,”The visions, technologies,
applications and security issues of Internet of Things”, IEEE, 2011.
[11]Qian Zhu, Ruicong Wang, Qi Chen, Yan Liu and WeijunQiny,“IOT Gateway: Bridging Wireless Sensor Networks into Internet of Things, IEEE/IFIP International Conference on Embedded and Ubiquitous Computing, 2010
[12]S. Misra, P. Venkata Krishna, Harshit Agarwal, Anshima Gupta and M. S. Obaidat, “An Adaptive Learning Approach for Fault-Tolerant Routing in
Internet of Things”, 2012 IEEE Wireless
Communications and Networking Conference: PHY and Fundamentals, pp.815 -819,2012.
[13]J. Kimionis and M. M. Tentzeris, “RF tag front-end
design for uncompromised communication and harvesting,” in Proc. IEEE RFIDTechnol. Appl. Conf. (RFID-TA), Tampere, Finland, Sep. 2014, pp. 109–114. [14]B. S. Cook, J. R. Cooper, and M. M. Tentzeris, “An inkjet printer Microfluidic RFID-enabled platform for wireless lab-on-chip applications,” IEEE Trans. Micro. Theory Techn. vol. 61, no. 12, pp. 4714–4723, Dec. 2013.
[15]J. Kimionis and M. M. Tentzeris, “Software-defined reader for multimodal RFID sensing,” in IEEE MTT-S Int. Microw. Symp. Dig.,San Francisco, CA, USA, May 2016, pp. 1–4.
[16]D. Girbau, A. Ramos, A. Lazaro, S. Rima, and R. Villarino, “Passive wireless temperature sensor based on time-coded UWB chipless RFID tags,” IEEE Trans. Microw. Theory Techn. vol. 60, no. 11, pp. 3623– 3632, Nov. 2012.
[17]H. Aubert et al., “Wireless sensing and identification based on radar cross section variability measurement of passive electromagnetic sensors,” Ann. Telecomm., vol. 68, no. 7, pp. 425–435, Jun. 2013.
[18]A. Souza and J. R. A. Amazonas, "A Novel Smart Home Application Using an Internet of Things Middleware," in Smart Objects, Systems and Technologies (SmartSysTech), Proceedings of 2013 European Conference on, 2013, pp. 1-7:
[19]VDE.Y. Xu, A. Helal, M. Thai, and M. Schmalz, “Optimizing push/pullenvelopes for energy-efficient cloud-sensor systems,” in Proc. 14th ACMInt. Conf. Model. Anal. Si
