CLUSTERING BASED ENHANCED ENERGY EFFICIENT DMM-MAC FOR BURSTY TRAFFIC IN UNDERWATER SENSOR NETWORK

CLUSTERING BASED ENHANCED ENERGY EFFICIENT DMM-MAC FOR BURSTY TRAFFIC IN UNDERWATER SENSOR NETWORK

P.Swapna 1, S. Sneha 2

1,2 Assitant professor, Dept of IT, M.Kumarasamy College of Engineering, Karur, Tamil Nadu, India.

A wireless sensor network (WSN) has the sensor nodes with gathered data packets from the environment and communicate with each other using wireless transceivers. It gathers the data using sensor nodes and conveys the information to the sink node. The critical issue in Under Water Sensor Networks (UWSN) is energy consumption. By decreasing the transmission collision and idle listening, the energy can be well-maintained. Multiple Rendezvous Multichannel MAC (MM-MAC) and Dynamic Duty Cycled Multiple Rendezvous Multichannel MAC (DMM- MAC) are used to transfer the data packet even in bursty traffic in UWSN. The concept of dynamic duty cycling is playing the vital role in achieving good results. In this paper, both intra and inter communication is established.  Here, the cluster Head based data communication is taken where, they deal with the energy. These Cluster head is dynamically changed based on their energy level. Finally, the results of DMM-MAC with and without clustering are compared. From the simulation results it is well understand that DMM with clustering mechanism provides the improvement in the parameters like reduce in delay, improved rate in throughput and packet delivery and overhead for packet transmission is also greatly.

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AUTOMATIC DETECTION AND TRACKING OF PEOPLE IN VIDEO SURVEILLANCE

AUTOMATIC DETECTION AND TRACKING OF PEOPLE IN VIDEO SURVEILLANCE

Guru Selvi.D 1, Vijay Anandh.T 2

1 PG Student, Department of ECE, National Engineering College, Kovilpatti, Tamil Nadu, .India.

2 Assistant Professor, Dept of ECE, National Engineering College, Kovilpatti, Tamil Nadu, .India.

Object detection and tracking are necessary in many computer vision applications such as surveillance, vehicle navigation, and autonomous robot navigation. In this paper video segmentation technique that accurately segments the moving objects using Gaussian Mixture model is introduced. In a video footage, the moving human beings are segmented with the help of GMM, then detected silhouettes can be segmented into head, torso, and leg parts of a human in order to reduce confusion that may occur between different individuals in case of global descriptors. This work proposes the spatial segmentation method for head, torso and leg segmentation. As a novel implementation, this work also genesis a 2D-trajectory plotting for analyzing the detected human’s movement over a time period. This is possible to calculate and plot trajectories by calculating the centroid of the silhouettes. This proposed work can coordinate the multiple human detection and able to plot their individual trajectory over a horizon.

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BIG DATA TRAFFIC ANALYSIS OF CELLULAR NETWORK USING HADOOP

BIG DATA TRAFFIC ANALYSIS OF CELLULAR NETWORK USING HADOOP

S.Sneha1, G.Mohana Prabha2

1 Assistant Professor, Dept of IT, M.Kumarasamy College of Engineering, Karur, Tamil Nadu, India.

2 Assistant Professor,Dept of IT, M.Kumarasamy College of Engineering, Karur, Tamil Nadu, India.

Monitoring and analysis network traffic is significant for optimizing network resource and improving user experience. However, existing solutions, which rely on a high-performance server faces challenges in handling massive and heterogeneous data sets from various source of network application. In addition to that existing tools is scalable only for single workstation mode which is not capable for processing big data. The solutions for distributed computing and storage for big data processing is Hadoop, an open source computing platform.ThusHadoop based system is deployed in cellular network and the evaluated analysis result shows it can process 4 terabytes of data from high performance server at low cost.

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AN IMPROVEMENT IN COVERAGE BY SENSORS WITH ADJUSTABLE SENSING RANGES USING DISTRIBUTED GREEDY VERTEX BASED ALGORITHM

AN IMPROVEMENT IN COVERAGE BY SENSORS WITH ADJUSTABLE SENSING RANGES USING DISTRIBUTED GREEDY VERTEX BASED ALGORITHM

Anitha.G 1, Subramanian.K 2

1 PG student, Department of ECE, National Engineering College, Kovilpatti, Tamil Nadu, India.

2 Assistant Professor (SG), Department of ECE, National Engineering College, Kovilpatti, Tamil Nadu, .India.

A fundamental challenge in designing wireless sensor network is to enhance the network lifetime by changing the direction of the sensor. The connectivity and coverage constraints are problems in maximizing network lifetime in Wireless Sensor Networks. The effective sensing range of sensors is characterized by directionality and sensing angle. In proposed work, the range has been adjusted in order to reduce the overlapped coverage. The sensor field is divided into voronoi cells by calculation of sensor. The direction of the sensor is based on the largest vertex distance. Thus the sensor covers more area. The sensor calculates its respective intra-cell coverage sizes of aligning direction with each vertex and selects the vertex having the maximum coverage as its preliminary working direction. This improves the overall intercell coverage ratio in the sensor network environment. Then the range has been adjusted in order to reduce the overlapped coverage. The parameter such as distance of the largest vertex and the maximum area coverage of voronoi cell has been analyzed with the help of matlab and the simulation performance of method was compared. It shows that there is improvement in the adjustable range coverage of the proposed method.

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COMPARITIVE STUDY OF TWO SINGLE PHASE AC-DC BOOST CONVERTER TOPOLOGIES BASED ON POWER QUALITY PERFORMANCE INDICES

                                      Saranya Natarajan ¹, B.V.Manikandan ²

¹PG student- Department of EEE – Mepco Schlenk Engineering College, Sivakasi Tamilnadu, India.

²Professor- Department of EEE – Mepco Schlenk Engineering College, Sivakasi Tamilnadu, India.

   
 Single-phase switch mode AC-DC converters are being used as front-end rectifiers for a variety of applications due to the advantages of high efficiency and power density. These classical converters, however, draw non-sinusoidal input ac currents leading to low input power factors and injection of harmonics into the utility lines. Harmonics have a negative effect in the operation of electrical system and hence they need to be removed. Research into passive and active techniques for input current wave shaping has highlighted their inherent drawbacks. Passive filters have the demerits of fixed compensation, large size and resonance whereas active filters improve the power quality of the input current and consequently they improve the power factor. The Power Factor Correction (PFC) which is an active filter based method provides efficient means for reducing harmonics. These circuits reduce harmonics and consequently they improve power factor. This work presents a comparative study of two topologies of single-phase AC-DC boost converters with improved power factor correction (PFC).Both open loop and closed loop control modes are discussed for the considered two converter topologies. Simulation studies have been carried out using SIMULINK tool in MATLAB 7.4 environment.

                                               

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MODIFIED HYBRID CASCADED H- BRIDGE MULTILEVEL INVERTER

                                                                A.Rajkumar

PG student- Department of EEE - SBM college of Engineering and technology, Dindigul, Tamilnadu, India

          This paper presents a cascaded H-bridge multilevel inverter that can be implemented using only a single dc power source and capacitors. Standard cascaded multilevel inverters require N dc sources for 2N+1 level. Without requiring transformers, the scheme proposed here allows the use of a single dc power source (example: a battery or a fuel cell stack) with the remaining dc sources being capacitors, which is referred to as Hybrid Cascaded H-bridge Multilevel Inverter (HCMLI) in this paper. It is shown that the inverter can simultaneously maintain the dc voltage level of the capacitors and choose a fundamental frequency switching pattern to produce a nearly sinusoidal output. HCMLI using only a single dc source for each phase is promising for high power motor drive applications as it significantly decreases the number of required dc power supplies, provides high quality output power due to its high number of output levels, and results in high conversion efficiency and low thermal stress as it uses a fundamental frequency switching scheme.

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OPTIMIZATION OF LCL-T RESONANT CONVERTER FOR CC-CV

S.Praveena

PG student- Department of EEE – Mepco Schlenk Engineering College, Sivakasi Tamilnadu, India.

            The LCL-Type series resonant converter has nearly load independent output voltage under some operating conditions. It behaves as a constant current source (CC) when operated under resonant frequency. The output voltage of a CC power supply increases linearly with load resistance. Therefore a constant voltage limit must be incorporated for its use for applications like arc-welding power supplies etc .This limit can be done by incorporating clamp diodes. Since no feedback control is used, the proposed circuit is more reliable and rugged.

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