Title: Performance Evaluation of Hybrid Evolution Swarm Technique Detector
Authors: Ms. Sonam Dwivedi and Dr. Neeta Tripathi
Abstract: Channel estimation and symbol detection in MIMO-OFDM systems are needful tasks. Although the maximum likelihood (ML) detector reveals excellent performance for symbol detection but computational complexity of this detector is extremely high in systems with more transmitter antennas and high-order constellation size. Whereas PSO has better computational efficiency but it has low convergence rate. In the present work performance of A Hybrid Differential Evolution Swarm Technique Detectors (HDESTD) is evaluated. HDESTD a technique that combines particle swarm optimization (PSO) and Differential Evolution (DE) in which Maximum likelihood detector is applied as a fitness function. Base of evaluation is comparison of Symbol Error Rate and computing time of HDESTD with PSO detector and DE detector.
Title: Analysis Of Image Compresssion By Dwt Using Vedic Multiplier
Authors: Satyendra Tripathi and Dr. Bharat Mishra
Abstract: A simple image-compression scheme based on the wavelet transform is proposed. The scheme attempts to achieve better performance results than those achieved with the well-established JPEG compression technique for very high image-quality levels. To achieve this, the wavelet scheme tries to identify the wavelet filter that will result in the smallest number of non-zero coefficients (thus giving a high compression ratio), to adaptively quantize wavelet coefficients, and efficiently codes the processed wavelet transform. The results show that the scheme does outperform JPEG in terms of the achievable compression ratios and image quality. Also, the scheme produces very high-quality reconstructed images, which can in fact be considered to be perceptually lossless. According to the basic theory of wavelet, this paper used matlab software simulation to study image compression problem. Compared with traditional methods, it is more simple and effective. Wavelet image compression technology solves the contradiction of time and frequency domains localization which cannot be achieved by the Fourier transform. For improving the image compression ratio and compression speed this study has actual reference value
Title: A Novel Multiband Fractal Antenna for X Band Communication
Authors: Pushkar Mishra and Shyam Sunder Pattnaik
Abstract: In this paper, a new parallelogram shaped fractal antenna has been presented and discussed. The proposed antenna follows the self-similarity property of fractal structure. The patch having shape of parallelogram has the outer dimension of 30 mm ? 20 mm ? 50 mm ?20 mm. The antenna resonates at three different resonant frequencies at 7.20 GHz, 8.26 GHz and 11.395 GHz with gain of 1.81158 dB, 1.23462 dB and 4.6328 dB respectively. The antenna is fabricated using FR-4 substrate with resonance at 7.05 GHz, 8.15 GHz, 8.77 GHz and 10.625 GHz. The simulated and measured results shows good agreement.
Title: Performance Analysis of Enhanced Energy Aware Sleep Scheduling Clustered based Routing Protocol using NS2
Authors: Rajiv Thapa, Anurag Sharma and Rajni Verma
Abstract: In wireless sensor network (WSN), deployed sensor nodes to detection an event and transmit the data from sensor nodes to the base station (BS). Stability period, energy consumption and network lifetime is a big issue in the WSN. For this purpose, a number of routing algorithms are invented. In this research paper, we are introduced enhanced energy aware sleep scheduling clustered based routing (EEASSCR) protocol is based on clustering approach. When clustering is an approach used to minimize the energy consumption of such network. Hence it reduces the energy consumption, increase stability period of network and increases the network lifetime Basically, EEASSCR is an enhancement protocol of EASSCR. The comparative analysis of EEASSCR with EASSCR, LEACH and SEP on the basis of delay, packet loss, throughput and residual energy is done and it has found that EEASSCR is better.
Title: A FD-BPM method for analysis of add-drop filter with embedded square cavity
Authors: Prasenjeet Damodar Patil and Dr. Gajanan Govind Sarate
Abstract: Over the last two decades there has been immense research in the design and development of integrated photonic devices and circuits. Optical ring resonators are used as channel dropping filters in dense wavelength division multiplexing. A particular wavelength can be added or dropped by selecting length of the ring. The exchange of optical energy between the waveguides relies on evanescence coupling. This paper presents the application of explicit finite difference beam propagation method for the analysis of resonator with embedded square cavity. Simulations results shows that, resonator with smaller square cavities can be used as add drop filter, but losses at the sharps bends are more, causing severe degradation in the coupling of optical power.
Title: Improved Tabu Search based Cellular Automaton Inspired Algorithm for DDoS attacks in VANETs
Authors: Amuthan. A and K.Deepa Thilak
Abstract: In Vehicular Ad hoc Network (VANETs), co-operation is essential for ensuring reliable data delivery between the vehicular nodes under connectivity. The degree of co-operation decreases when the interactive active vehicular nodes become unavailable and does not offer its service either intentionally or unintentionally. Meta-heuristic algorithms are found to be effective in analysing the possible solution for identifying reliable path for efficient data dissemination. Tabu Search based Meta-heuristic algorithm has the maximum probability to easily converge into local optimal solution. Hence an Improved Tabu Search based Cellular Automaton (ITSBCA) inspired algorithm is contributed for integrating Cellular Automata with phenomenally improved traditional Tabu Search Technique. In ITSBCA, the location of each vehicular node of the network topology is considered as a cellular automaton which is distributed in the two-dimensional square area. The updating of each node related with a cellular automaton depends not only based on the current state of the node and its neighbours but also on the reliable state of the optimal nodes belonging to any cellular automata cell. Further the availability of each node for effective data forwarding depends on its past velocity, past reliability factor, local optimal state, global optimal state and neighbour?s best state. Simulation results proves that ITSBCA is significant compared to the considered baseline techniques in terms of robustness, local search capability, global search capability and its efficiency in identifying reliable routing path under DDoS attack. Results also prove that ITSBCA is effective in terms of packet delivery rate and prediction accuracy by 23% and 27% even when the number of vehicular nodes are increased.