Narula Institute of Technology

About: Narula Institute of Technology is a based out in . It is known for research contribution in the topics: Quantum dot cellular automaton & Cognitive radio. The organization has 288 authors who have published 490 publications receiving 2258 citations. The organization is also known as: NiT.

Throughput Analysis for Fixed Allocation of Channels in Cognitive Radio Network

Abstract: In this paper we discuss throughput analysis for fixed allocation of channels in a cognitive radio network. In fixed allocation of channels number of primary users allocated to a channel is fixed all the time. But the number of primary users is different for different channels. The secondary users or cognitive users sense the channel whether the channel is free or not. But sometimes when secondary users access the channel then primary users arrive and collision occurs. The transmission probabilities of primary and secondary users are different. The packet transmission delay and channel access delay of secondary users is considered in this paper. Our objective is to find the optimal number of secondary users to maximize the total throughput of primary and secondary users.

A WBAN-Based Framework for Health Condition Monitoring and Faulty Sensor Node Detection Applying ANN

Abstract: Remote health monitoring framework using wireless body area network with ubiquitous support is gaining popularity. However, faulty sensor data may prove to be critical. Hence, faulty sensor detection is necessary in sensor-based health monitoring. In this paper, an artificial neural network (ANN)-based framework for learning about health condition of patients as well as fault detection in the sensors is proposed. This experiment is done based on human cardiac condition monitoring setup. Related physiological parameters have been collected using wearable sensors from different people. These data are then analyzed using ANN for health condition identification and faulty node detection. Libelium MySignals HW (eHealth Medical Development Shield for Arduino) v2 sensors such as ECG sensor, pulse oximeter sensor, and body temperature sensor have been used for data collection and ARDINO UNO R3 as microcontroller device. ANN method detects faulty sensor data with classification accuracy of 98%. Experimental results and analyses are given to prove the claim.

Semi-isotropically optimized Parallel Manipulator Design Issues: A Performance Comparison in view of Vibration Isolator Application

Abstract: Semi-isotropically designed parallel manipulator based devices using identical actuators have been found to exhibit point isotropy in the working space. Although research is being carried out to find isotropic configuration of the parallel manipulators, the maximum achievable isotropy is only found through the recently proposed semi-isotropic design solution. In this paper a kinematic performance index based mapping of design variation about the semi-isotropically optimized design architecture has been illustrated. In addition a case of design optimization of Stewart platform based vibration isolator is considered for performance comparison. Finally results show that dual quaternion approach to achieve dimensionally homogeneous Jacobian matrix pertaining to the manipulator architecture optimization process does not turn up at global optimum.

Generalize 3D model of energy consumption for deploying nodes in Sensor Network

Abstract: Wireless Sensor Networks (WSN) provide network access for mobile users. Therefore, most traffic flows in WSNs are to and from the sensor node and base station of the networks without wired connection. Power consumption is one of the most important issue in the sensor network. Energy constraints have a significant impact on the design and operation of wireless sensor networks. This paper describes a mathematical model for the power consumption of mobile node in wireless sensor networks. A wireless sensor network having multiple BSs (data sink nodes)and mobile nodes are considered. Each source node must send all its locally generated data to the other nodes and vice -versa. To maximize mobile node's lifetime, it is essential to have optimum monitored region and radio range of each source node of WSNs. To find an optimal solution a mathematical model, which is proposed for optimal power consumption in terms of ratio of whole energy of sensor nodes to energy consumption speed of sensor nodes in any area should be constant. Through extensive simulation of the model we achieved the results of the model which is shown below and implies that this model has excellent performance and provides a near-optimal solution.

Analysis of power consumption and delay of an inverter circuit using TMJLSRG MOSFET for the design of digital integrated circuit

Abstract: This paper represents delay and power analysis of an inverter using a triple-material junctionless surrounding gate MOSFET (TMJLSRG) to design integrated circuit. TCAD tools have been used for the purpose of simulation. The delay and power consumption are the vital design metrics to design the circuit in nano level. In this work, the variation of power consumption has been reported for different values of power supply voltage VDD and channel length. Delay is also reported with respect to VDD .Moreover, power consumption has been reported for the gate engineered device for different ratio of gate length. The results are satisfactory to design low power and high speed digital integrated circuit using TMJLSRG MOSFET.