Santosh Anand

Bio: Santosh Anand is an academic researcher from Amrita Vishwa Vidyapeetham. The author has contributed to research in topics: Wireless sensor network & Sensor node. The author has an hindex of 3, co-authored 9 publications receiving 15 citations.

Efficient Model For Automated Home Management System

Abstract: With in a household, a home automation system automates the majority of electronic and electrical tasks. This uses a mix of hardware and software to control and manage appliances and devices inside a home. The fundamental purpose of tracking electronic devices in the modern world through the use of the Internet of Things (IoT) is to regulate them according to situational requirements. The need for efficient monitoring is greater with the advancement of technology as it optimizes efficiency and saves excessive power and resource wastage. Turning on lights during daytime can be avoided in this way. NodeMCU is very popular in Home Automation. It’s Wi-Fi features and support for Arduino IDE makes it easier for IoT Applications. Home appliances can be controlled using the Android Application which is Blynk App.

A Survey on Clustering Approaches to Strengthen the Performance of Wireless Sensor Network

Abstract: Wireless sensor networks are used in diverse areas such as battlefields, security, hospitals, universities, etc. It has been used in our everyday lives. Its development is rising day by day. Wireless sensor network includes hundreds to thousands of sensor nodes which aid in gathering various information like temperature, sound, location, etc. Recharging or modifying sensor nodes which might have limited battery power is usually difficult. Therefore, energy conservation is a crucial concern in sustaining the network. Clustering the networks is definitely one of the most common solutions for rendering WSNs energy. In this paper, the various clustering approaches used by wireless sensor networks got to learn and analyzed.

Cluster-Based Energy Efficient Protocol for Wireless Sensor Network

Abstract: Sensor node in the wireless sensor network are battery constrained as well as the energy in it is minimal. As sensor nodes are required to sense the environment conditions like temperature, humidity etc. Since Sensor node continuously sense data most of the energy is used for sensing and collection of data. Energy consumption is a major research problem in WSN. Major setup in clustering is formation of cluster which is done on the basis of received signal strength of the nodes. When clustering is done and data is transmitted most of the times nods that are deployed are very close to each other that and sense same data which is unnecessary. The energy is mostly wasted by huge number of inactive nodes. This work aims at evaluating the WSN and proposing a cluster-based approach to reduce the energy demand of the sensor node by avoiding redundant information transfer to the cluster controller and each node should transmit data in particular time slot in order to avoid collision This research work uses the NS3 for evaluation purpose and the performance metrics as throughout, packet delivery ratio, energy consumption and delay.

Enhancing Reliability of Wireless Sensor Network Without Affecting Other QOS Parameters

Abstract: In this era where the trend runs behind adapting wireless medium to communicate and sensing of data. Clustering is a process of grouping up of similar nodes and proposed work is to build path to transmit the messages which has more priority like hospital data, defense system data. To get the reliable network there is a requirement of cluster all the deployed nodes/motes and elect cluster head for each cluster. Cluster head will be elected based on optimal cluster head selection algorithm which is based on received signal strength index of the anchor motes in cluster. For monitoring whole network there is a need of SDN (software defined network) which is a new trend in the wireless network domain. This SDN based proposed work can assure to provide reliable network for the essential communication.

Role of Radio Control to Enhance the Lifetime of Wireless Sensor Network

Abstract: WSN is highly defined to be a limited resource constrained group of network where energy acquisition plays a vital role. Sensor node in WSN is battery constrained and are required for conditions of environ as sensor nodes. In this paper adopted and enhanced an energy efficient routing protocol such as "Enhanced Position Responsive Routing Protocol" (EPRRP). EPRRP is mainly aimed for energy consumption and minimization energy in every node by decreasing the total amount of time in which sensors are in idleness listening condition and the medium transmitting distance in the network is reduced. The proposed EPRRP was strictly evaluated in the condition of network lifetime, throughput and energy acquisition in the network. By comparing with existing work with proposed work there was major difference in energy consumption because in proposed system first it will select the shortest path using shortest radio consumption frequency for transmitting so energy consumption is minimized

Enhancing Reliability of Wireless Sensor Network Without Affecting Other QOS Parameters

Abstract: In this era where the trend runs behind adapting wireless medium to communicate and sensing of data. Clustering is a process of grouping up of similar nodes and proposed work is to build path to transmit the messages which has more priority like hospital data, defense system data. To get the reliable network there is a requirement of cluster all the deployed nodes/motes and elect cluster head for each cluster. Cluster head will be elected based on optimal cluster head selection algorithm which is based on received signal strength index of the anchor motes in cluster. For monitoring whole network there is a need of SDN (software defined network) which is a new trend in the wireless network domain. This SDN based proposed work can assure to provide reliable network for the essential communication.

Role of Radio Control to Enhance the Lifetime of Wireless Sensor Network

Abstract: WSN is highly defined to be a limited resource constrained group of network where energy acquisition plays a vital role. Sensor node in WSN is battery constrained and are required for conditions of environ as sensor nodes. In this paper adopted and enhanced an energy efficient routing protocol such as "Enhanced Position Responsive Routing Protocol" (EPRRP). EPRRP is mainly aimed for energy consumption and minimization energy in every node by decreasing the total amount of time in which sensors are in idleness listening condition and the medium transmitting distance in the network is reduced. The proposed EPRRP was strictly evaluated in the condition of network lifetime, throughput and energy acquisition in the network. By comparing with existing work with proposed work there was major difference in energy consumption because in proposed system first it will select the shortest path using shortest radio consumption frequency for transmitting so energy consumption is minimized

Improvement of e-learning in Ontology using Machine Learning Techniques

Abstract: E-learning is a way of delivering the knowledge to the learners through mobile, tabs and computer. Basically, eLearning is directed on the Internet, where learners can access their learning materials online at any time and any place. In this paper, machine learning approach goals are to deliver individualized, dynamic learning performance, supporting the improvement of knowledge. It is significant for thinking on accessible knowledge. Ontology is concerned with what is real or truth and the nature of genuineness and reality. The utilization of ontology method is to demonstrate the knowledge on certain areas. E-learning ontology can be used for representing domains in educational fields and for describing vibrant knowledge. This work contributes an balanced way for dealing with an educative model by consolidating ontology advancement. The following steps adapted for Ontology advancement are defining the domain and scope of the ontology, considering reprocessing present ontology, Enumerate significant terms. The main principal issues of educational fields are the absence of control data designing area through e-Learning performers. Building modelling helps in communication between the structure and behavior of the e-learning system. E-learning ontology has the ability to define a semantic model of the data combined with the domain knowledge. The proposed Enhancement of e-learning ontology using machine learning approach disclosure technique has been truthfully tried in an e-Learning environment for showing the subject Database Management Systems. In this proposed system student is going to select his subjects and he should take the test of that particular subject then by seeing his obtained marks in that subject its asks whether he needs pdf's or video in his feedback form then by predicting his performance it shows the particular videos or pdf's. The main intension of this paper is to exploit the KNN, SVM and K-Means algorithms for clustering of students and to utilize the ontology idea of comprehension and learning style recognizable identification.