Krishnamoorthy A

Department of Software Systems

School of Computer Science and Engineering

Vellore Campus

Vijayarajan V

Vijayarajan

Vellore Institute of Technology (VIT) is a private university located in&nbsp;Tamil Nadu, India. Founded in 1984, as Vellore Engineering College, the institution offers 20 undergraduate, 34 postgraduate, four integrated and four research programs. It has campuses in Vellore, Amravati, Bhopal and Chennai.

VIT is one of the top ranked private universities in India according to NIRF, THE and QS Rankings.&nbsp;Govt. of India has recognized&nbsp;VIT, Vellore as an&nbsp;Institution of Eminence. This has allowed VIT to take independent quality initiatives and move up in world ranking.

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VIT University

International Journal of Computers and Applications

Automated shopping experience based on embedded sensors using Raspberry Pi with ultrasonic sensor is introduced. Such a system is well suitable in places like grocery stores, where it can reduce the employee’s requirements to manage the whole place. The main objective is to help consumers to checkout items in real time. In addition, by processing all the information on the go will help to acquire and analyze the needs of the users and user interest on specific items. Instead of making the user to wait in queue for making the bill, our system will automate the process by detecting the item when it is picked out of the shelf and added to the user virtual cart. It makes the system attractive to both seller and buyer perspective. When the user left the store, those who picked the items will be added up and charged using their connected bank account to the application. To detect who is entering and leaving the store is monitored with the help of a camera implemented along with the facial recognition algorithm called Kairos. And, all the actions are updated in real time using a database called Google’s Firebase as a backend. The system design and experimental setup are presented in this paper. © Springer Nature Singapore Pte Ltd. 2019.

Advances in Intelligent Systems and Computing Information Systems Design and Intelligent Applications

Automated Shopping Experience Using Real-Time IoT

The Wireless Sensor network has placed its inevitable position in monitoring and surveillance purpose. The remote and unattended condition of Wireless Sensor network seeks a new energy efficient algorithm. Enhancing the lifetime of Wireless sensor network has become the primary need to prolong the network lifetime. This paper envisage the increase in lifetime of nodes by properly selecting the cluster head based on the residual energy state and total number of frames transmitted to the sink. The role of sensor node is modelled as Finite State machine and realized as markov process. The process helps in scheduling the role of the sensor node and in the process of cluster head selection. Lifetime enhancement is achieved by selecting optimal cluster head among eligible cluster members. The proposed algorithm outperforms the other algorithms in terms of lifetime and throughput when compared to other protocol. The results supports that Energy aware routing increases the lifetime of the network and serves as the better solution for energy consumption. © 2017 Elsevier Ltd.

Materials Today: Proceedings

Effective implementation of Energy Aware Routing for Wireless Sensor Network

IEEE Communications Letters

Energy Efficient Clustering Scheme for Prolonging the Lifetime of Wireless Sensor Network With Isolated Nodes

Journal	International Journal of Computers and Applications
Publisher	Informa UK Limited
ISSN	1206-212X
Open Access	0