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IMPLEMENTATION AND PERFORMANCE ANALYSIS EVALUATION OF A NEW MANET ROUTING PROTOCOL IN NS-2
Get PDFMobile ad hoc networks (MANETs) can be defined as a collection of large number ofmobile nodes that form temporary network without aid of any existing network infrastructure or central access point. The Efficient routing protocols can provide significant benefits to mobile ad hoc networks, in terms of both performance and reliability. Many routing protocols for such networks have been proposed so far. The main method for evaluating the performance of MANETs is simulation.The Network Simulator is a discrete event driven simulator. The goal of ns-2 is to support networking ,research, and education. In this paper we create a new Routing Protocol called MyRouter step by step in Ns-2.Then we evaluate its performance based on several parameters such as Packet Delivery Ratio , End to End Delay etc and compare it with MANET routing protocol OLS
Hardening of UNIX Operating System
Get PDFOperating system hardening is the process to address security weaknesses in the operation systems by implementing the latest operating system patches, hot fixes and updates as well as follow up the specific procedures and policies to reduce attacks and system down time
Computational Intelligence with Automata Theory
Get PDFIn this paper I have discussed about a various techniques i.e. Neural Network, Fuzzy Logic, and Genetic algorithm and a few concepts of automata theory. Every application that deals with fuzzy logic also deals with Neural Networks and Genetic algorithm. But how the application will work depends totally on Computational Intelligence. So here I discussed Computational Intelligence with Automata Theory concepts for designing any application
An Efficient Algorithm for Delay and Delay- Variation Bounded Core Based Tree Generation
Get PDFMany multimedia group applications require the construction of multicast tree satisfying the quality of service (QoS) requirements. To support real time communication, computer networks need to optimize the Delay and Delay-Variation Bounded Multicast Tree (DVBMT). The problem is to satisfy the end-to-end delay and delay-variation within an upper bound. The DVBMT problem is known to be NP complete. In this paper, we propose an efficient core selection algorithm for satisfying the end-to-end delay and delay-variation within an upper bound. The efficiency of the proposed algorithm is validated through the simulation. The simulation results reveal that our algorithm performs better than the existing heuristic algorithms
“Next Gen Smart and Connected Systems”
Get PDFWith the kind of technological advancements such as cloud computing, virtualization, computing grids, etc, that we are seeing today, soon the hardware and software producers will be under severe pressure to deliver cheaper and cost effective solutions and to combine them with innovate commercial models such as “pay as you use” or “pay per use” etc. Imagine that your lap top contains only a browser like software, which will enable you to connect to clouds around your area and then dynamically fetch the required computing resources of h/w and s/w. It will be even better; if you could get software (even a DBMS) that you want at that point in time to execute an application, for a pepper corn price subscription. In order to be made affordable of such massive computing hardware and software systems, the vendors have to depend on exponential volume growth of users and also cost reduction of the computing infrastructure by taking a complete relook at the architecture of the h/w and s/w systems to make them lighter and cheaper to manufacture. The industrial revolution taught us job specialization as one of the major means to improve productivity and to cut manual labor costs. We now need such a specialization in the computing arena as well. I am starting with a fundamental premise that all computing systems available today are heavily biased towards data processing with very limited specialization. The systems are produced to contain an overload of computer parts of h/w and s/w code, more than what is required for most situations. Therefore, whether you like it or not, you end up paying for the overloaded complexity that you may very rarely require. The main theme of this submission is to relook at creating optimally functioning specialized systems coupled with the elimination of massive overload of unwanted processing needs could make them less complex, easy to use and cheap
Capacity Enhancement in WLAN using MIMO
Get PDFIncreasing demand for high-performance 4G broadband wireless is enabled by the use of multiple antennas at both transmitter and receiver ends. Multiple antenna technologies enable high capacities suited for Internet and multimedia services, and also dramatically increase range and reliability. The combination of multiple-input multiple-output (MIMO) signal processing with orthogonal frequency division multiplexing (OFDM) is regarded as a promising solution for enhancing the data rates of next-generation wireless communication systems operating in frequencyselective fading environments. In this paper ,we focus mainly on Internet users in hotspots like Airport etc., requiring high data rate services. A high data rate WLAN system design is proposed using MIMO-OFDM. In the proposed WLAN system, IEEE 802.11a standard design is adopted but the results prove a data rate enhancement from the conventional IEEE 802.11
Mechanical and Micro-structural Study of Friction Stir Welding of Al-alloy
Get PDFThe present study is on the development of friction stir welding (FSW) of commercial grade Al-alloy to study the mechanical and microstructural properties. The proposed research will include experiments related to the effect of FSW optimum process parameter on weldability of Al alloy. The present paper has been subdivided in to two different sections: 1. Study of Mechanical properties and 2. Study of micro-structural properties. Section1 describes the tensile strength of welded sample and distribution of microhardness in different zones of FSW weld specimen and section2 contains the microstructure characterization of different zones of friction stir welds
Development of Fuzzy Multi Criteria Decision Making Method for Selection of Optimum Maintenance Alternative
Get PDFAn optimal maintenance strategy is a key support to production in the manufacturing industry. This paper present a fuzzy approach based on Multi-Criteria Decision-Making (MCDM) methodology for selecting the optimal maintenance alternative. In the present work the criticality of each equipment is achieved by ranking (based on production loss).It is very difficult to quantify the qualitative factors in exact numerical value. These factors can be expressed in the linguistics terms which can be translated into mathematical measures by using fuzzy sets & system theory. The study problem to develop a fuzzy decision approach to rank the suitable maintenance alternative. The objective of this paper is to propose fuzzy frame work based on fuzzy number theory to solve optimal maintenance alternative which includes decision criteria analysis, weight assessment & decision model development. The approach can aid formulating a cost-effective maintenance strategy for a manufacturing plant
EFFICIENT BANDWIDTH ESTIMATION MANAGEMENT FOR VOIP CONCURRENT MULTIPATH TRANSFER
Get PDFConcurrent Multipath Transfer distributes incoming traffic simultaneously between several paths to maximize network resource utilization and to improve quality of service. Voices over IP real time application is more sensitive to delay and requires bandwidth guarantee. In this paper, Efficient Bandwidth Estimation Management for VoIP Concurrent Multipath Transfer is proposed. The proposed technique estimates the bandwidth of each path from a group and selects multiple paths from SCTP multihoming association to transmit VoIP traffic with assured bandwidth guarantees. Simulation results are reported using Ns2 network simulator to show the efficiency of the proposed syste
AUTOMATIC DETECTION OF EPILEPSY EEG USING NEURAL NETWORKS
Get PDFThe electroencephalogram (EEG) signal plays an important role in the diagnosis of epilepsy. The EEG recordings of the ambulatory recording systems generate very lengthy data and the detection of the epileptic activity requires a timeconsuming analysis of the entire length of the EEG data by an expert. The traditional methods of analysis being tedious, many automated diagnostic systems for epilepsy has emerged in recent years.This paper proposes a neural-network-based automated epileptic EEG detection system that uses approximate entropy (ApEn) as the input feature. ApEn is a statistical parameter that measures the predictability of the current amplitude values of a physiological signal based on its previous amplitude values. It is known that the value of the ApEn drops sharply during an epileptic seizure and this fact is used in the proposed system.Two different types of neural networks, namely, Elman and probabilistic neural networks are considered. ApEn is used for the first time in the proposed system for the detection of epilepsy using neural networks. It is shown that the overall accuracy values as high as 100% can be achieved by using the proposed syste