g ....etc

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Distributed Algorithm for Source based Energy Efficient Multicasting in wireless AdHoc Networks

Abstract:
In this paper, we discuss the energy efficient multicast problem in ad hoc wireless networks. Each node in the network is assumed to have a fixed level of transmission power. The problem of our concern is: given an ad hoc wireless network and a multicast request, how to find a multicast tree such that the total energy cost of the multicast tree is minimized. We first prove this problem is NP-hard and it i ....etc

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ODAM: An Optimized Distributed Association Rule Mining Algorithm
Abstract: Association rule mining is an active data mining research area. However, most ARM algorithms cater to a centralized environment. In contrast to previous ARM algorithms, ODAM is a distributed algorithm for geographically distributed data sets that reduces communication costs. Modern organizations are geographically distributed. Typically, each site locally stores its ever-increasing amount of day-to-day data. Using centralized data mining to discover useful patterns in s ....etc

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Domain
NETWORKING

Technology
DOT NET

Abstract:
A DISTRIBUTED CSMA ALGORITHM FOR THROUGHPUT AND UTILITY MAXIMIZATION IN WIRELESS NETWORKS

In multihop wireless networks, designing distributed scheduling algorithms to achieve the maximal throughput is a challenging problem because of the complex interference constraints among different links. Traditional maximal-weight scheduling (MWS), although throughput-optimal, is difficult to implement in distributed networks. On the other hand, a distributed greedy protocol similar to IEEE ....etc

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Abstract
With the increasing of database applications, mining interestinginformation from huge databases becomes of most concern and avariety of mining algorithms have been proposed in recent years.As we know, the data processed in data mining may be obtainedfrom many sources in which different data types may be used.However, no algorithm can be applied to all applications due tothe difficulty for fitting data types of the algorithm, so the selectionof an appropriate mining algorithm is based on not only thegoal of application, but als ....etc

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Distributed Algorithm for En Route Aggregation Decision in Wireless Sensor Networks-

Abstract
Sensor networks en route aggregation decision regarding where and when aggregation shall be performed along the routes has been explicitly , implicitly studied extensively. However, existing solutions have omitted one key dimension in the optimization space, namely, the aggregation cost. In this paper, focusing on optimizing over both transmission and aggregation costs, we develop an online algorithm capable of dynamically adjusting the route stru ....etc

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ABSTRACT
To meet the demanded bandwidth requirements of future optical communication networks, more dynamism,scalability and automatism will need to be provided, which will require, as well, new control plane designs to respond to network changes very rapidly. In this work, we propose the use of an ant colony optimization (ACO) algorithm to support the routing and wavelength assignment in wavelength continuity constraint optical burstswitched networks. The main advantage of the protocol is its distributed nature, which provides higher survivab ....etc

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Distributed-Input-Distributed-Output (DIDO) Wireless Technology



Abstract

Distributed-Input-Distributed-Output (DIDO) wireless technology is a breakthrough approach that allows each wireless user to use the full data rate1 of shared spectrum simultaneously with all other users, by eliminating interference between users sharing the same spectrum. With conventional wireless technologies the data rate available per user drops as more users share the same spectrum to avoid interference, but with DIDO, the data ....etc

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An Algorithm for Dynamic Load Balancing in
Distributed Systems with Multiple Supporting
Nodes by Exploiting the Interrupt Service

INTRODUCTION

Rapid growth in use of computer has increased the
number of resource sharing application which
increased the amount of load across internet. The Problem can
be solved by increasing the size of servers or distributing
the applications in effective manner across different
servers which is termed as load balancing.load estimation can be estimated by means of processing power of the node. ....etc

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developing an algorithm for data mining using clustering genetic algorithm at c++



With an enormous amount of data stored in databases and data warehouses, it is increasingly important to develop powerful tools for analysis of such data and mining interesting knowledge from it. Data mining is more than slicing and dicing of data; it is a powerful business intelligence technology that provides knowledge about unknown patterns and events from large databases. Data mining technologies have known to significantly reduce operational costs and ....etc

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