International Journal of Advanced Networking and Applications

3765-3769

Authors: Essam Shaaban, Mona Nasr

With the new era of Information and Communication Technology; collaborative learning is considered to be an elearning approach where learners are able to socially interact to the others, as well as instructors. In essence, learners work together in order to expand their knowledge of a particular subject or skill. Nowadays, Social Networks could be used as an e-learning platform. One would typically log in and collaborate with other learners on a specific topic using the social network as the common working space. In this paper, a new approach is presented for collaborative learning throughout social networks. The behavior the proposed approach is presented. The proposed collaborative e-learning approach consists of three modules. The first one is mobile application which is used for collecting some data about the user and his/her interests that may be considered as a data entry process. The second module is getting some location information using the GPS of the mobile device. The third module here is matching algorithm, which will do two main functions. The first one is matching the interests of the users and displaying the results based on these interests. The second one is displaying the results and sorting it based on the nearest user.in addition to routing information.

3776-3781

Authors: Abhigya Mahajan, Alka Gupta, Lalit Sen Sharma

Snort is the most widely deployed Network Intrusion Detection System (NIDS) whose performance is dominated by the pattern matching of packets in the network. In this paper, we present an experimental evaluation and comparison of the performance of different pattern matching algorithms of Snort NIDS namely ac-q, ac-bnfa, acsplit, ac-banded and ac-sparsebands on Linux Operating System (Ubuntu Server 16.04). Snort's performance is measured by subjecting the server running Snort v2.9.9.1 to live malicious traffic and a standard dataset. The performance is calculated and compared in terms of throughput, memory utilization and CPU utilization.

3788-3793

Authors: Shivshanker.P.Biradar1, Dr. T.S. Vishwanath2

Wireless sensor network is a wireless network of autonomous sensor nodes where objective is to acquire data from different sensor nodes called sources in a central node called base station or server or sink. Several routing techniques are proposed for sensor networks. It includes shortest path routing, gossiping, flooding and so on. But Spanning tree is considered as good topology control mechanism for sensor network. Most of the literature emphasizes on generating the tree where sink is the root node. Such trees are called sink based tree. However sink based trees has maximum spreading. If congestion occurs at any node joining lower nodes to sink than sink cannot acquire data from nodes at lower level at tree. In order to avoid this problem, we propose a source based tree. Each of the source node generates a tree till sink. Therefore there are more than one tree present in the network and sink is connected to source through different paths. Each node upon getting a route request checks if it has maximum nodes connected to it. This list is called a MPR list. If it has maximum connectivity, it can acquire data from many nodes, aggregate them and forward it to sink. Thus our work consists of many trees from source nodes to sink where every intermediate node has maximum connectivity. Therefore the tree is most expanded. We further implement backup route creation to prevent sudden connectivity loss. Multiple paths from each source to sink ensures maximum data delivery. As power and energy loss is a major concern in such a network, we adopt an Energy aware tree creation to ascertain that all the intermediate nodes have maximum energy. Through results we prove that the proposed system performs better than sink based tree in terms of packet delivery ratio, throughput, low average energy consumption and elongated lifetime.

3800-3803

Authors: Lakshmi kiranMukkara, Kota VenkataRamanaiah

Multipliers play an important role in today's digital world especially in DSP and DIP applications. With advances in technology, many researchers are trying to design multipliers which offer either of the following targets-high speed, low power consumption, regularity of layout and less area or even combination of them in one multiplier. Now-a-days researchers are focusing on low power and high speed. This may be possible by designing effective multiplies as these are involved in huge amount in almost all DSP architectures. To do so many multipliers are available such as Booth multiplier and Wallace tree multiplier. Booth multiplier gives high performance (accuracy) but with high delay, whereas Wallace tree multiplier gives high speed but with less accuracy.The proposed method of CSD multiplication has the ability to reduce truncation error, computation latency for constant word length multiplications. Furthermore Horner CSD multiplier with pipelining concept makes multiplier design power efficient and speed efficient. This novel CSD algorithm is used here to design a Digital FIR filter and the same is designed with the booth and Wallace tree algorithm and compared. It is observed that proposed design is better w.r.t no. of slices and delay in comparison with existing methods. This design is coded in Verilog HDL and targeted on the spartran-3 device of XILINX 14.5.

3808-3815

Authors: Manas Kumar Yogi, K. Ganga Devi Bhavani

IoT is a worldwide-recognized trend that is gaining popularity incredibly fast. The baseline lies in the fact that IoT has already transformed a number of industries and took them to the new level, and these industries include healthcare, finances and much more. No wonder there is such a hype about it .There are tremendous new opportunities with IoT flowing out every couple of months so we highly recommend all to keep an eye on this technology. In this paper will have shed light on the inherent concepts which will affect the working of IoT beyond 2025.We have discussed key points in this paper regarding the operational components of an IoT System where improvements can be done by researchers so as to leverage the usage of IoT environment.

3822-3828

Authors: Dr. G. Rama Subba Reddy

In the current IT industry, big data analytics and Cloud Computing are the two most basic advancements. Amazingly these two innovations are come up together to give the best outcomes for different multinational business companies. In the former case, it requires huge amount of resources such as memory or hardware to store, process and other kinds of big data analytics. The cost to store this data is greatly expanded and requires innovative algorithms to reduce this complexity and this will be easy to process less information using machine learning algorithms. Distributed applications are using cloud service providers (i.e. Amazon AWS) to host and process this data with different cost to meet service level agreements. However, the customers are interested in reliable SLAs with minimized cost to store and process their data. The data centers maintained at different locations throughout the world are giving services with different get/put latencies. Allocation of data to multiple data centers and resource reservation are the two primary issues and yet to be solved. In this work, we proposed a method to reduce the cost by meeting the SLOs with integer programming. Also, we proposed an efficient method to store the data files by the optimal selection by minimizing the cost along with resource reservation. Our experimental study shows that our technique is giving the best result by selecting the optimal selection of data center along with resource reservation and its effective utilization.