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.

A variable higher bit approach to audio steganography

Abstract: Steganography is the art of hiding data in a medium without making it apparent that the medium contains a message Various techniques for Steganography have been proposed in different mediums by researchers The most commonly used form of Steganography is the LSB (Least Significant Bit) Steganography in which the Least Significant Bit of a byte is changed Here, we propose a variable higher bit approach to Steganography with audio as our medium of choice We present an algorithm which uses either of 2 consecutive higher order bits to hide data In this approach, instead of simply setting or resetting the relevant bit, the whole byte is modified so that it retains the data while being nearest to the original byte value Since the LSB itself is not used in this method, an additional bit of data can also be hidden if need be

Throughput maximization problem for random allocation of channels in a cognitive radio network

Abstract: In this paper, throughput analysis is presented for random allocation of channels in a cognitive radio network. In random allocation, each primary user dynamically and randomly selects a channel in each time slot. Secondary users are able to dynamically detect the idle channels in each time slot and compete to access these channels. We develop a model for throughput of primary and secondary users. A Poisson probability law is utilized for secondary users for throughput computation. The parameters such as traffic generation probability, fraction of primary users are computed for quantification of throughput. Some specified number of primary and secondary users are utilized in the analysis in light of maximum throughput.

Energy aware modified PEGASIS through packet transmission in wireless sensor network

Abstract: Network lifetime is the prime factor in wireless sensor networks which consists nodes with limited energy. Gathering information efficiently in critical situation in sensor network for a long period of time is required efficient protocols. The LEACH (Lower-Energy Adaptive Clustering Hierarchy) and PEGASIS (Power-Efficient Gathering in Sensor Information Systems) protocols are perfect solutions to this problem which minimize the overall energy dissipation by the nodes in the network. The LEACH protocol randomizes cluster heads for achieve equal energy dissemination, whereas the PEGASIS protocol forms a chain of cluster heads taking rounds in transmitting to the base station. In this paper, we propose an energy efficient protocol which enhances the performance of PEGASIS. In Modified PEGASIS, each node communicates only with a close neighbor node with minimum distance and transmits data to the base station, thus reducing the amount of energy spent per round. For this protocol it will combine few parameters such as Distance and Residual Energy for each node. The proposed system will increase the overall communication and increase the network life. Simulation results show that Modified PEGASIS performs better than PEGASIS, LEACH-C, and LEACH.

Improved cluster based route discovery algorithm for ad-hoc networks

Abstract: In case of wireless networks with infrastructure there is a base station which is reachable through all mobile nodes. Ad-hoc network defers in this point where destination nodes might be unreachable from source nodes. The Mobile Ad-Hoc Network are prone to packet loss and route congestion due to their dynamic nature. The lack of centralized infrastructure adds up to these problems. In this respect cluster based routing mechanism is necessary for dealing with such problems. This paper emphasizes the shortest path finding between the source and destination in cluster based adhoc network for reducing packet delay and energy consumption. The paper also includes a performance comparison of this logic with existing SDSSR algorithm.

Identification of spectrum holes using ANN model for cognitive radio applications

Abstract: With the burgeoning popularity & necessity of all things wireless, the radio spectrum has become a scarce utility; cognitive radio (CR) is now the relevant technology under development that enables one to utilize the spectrum more efficiently. Here we propose a new artficial neural network (ANN) model that predicts the channel capacity of the received signal. This information is analyzed theoretically which is subsequently verified by a suitable simulation scheme for identifying possible white space in a given band.