In-network data aggregation becomes an important technique to achieve efficient transmission in wireless sensor networks (WSN). Energy efficiency, latency and accuracy are the major key elements evaluating performance of in-network technique. The trade-offs among them largely depends on specific application. For instance, prefix frequency filtering (PFF) is a good recently example for that optimizing energy consumption accuracy. objective PFF find similar sets generated by neighboring nodes...

Monitoring phenomena and environments is an emergent required field in our today systems applications. Hence, wireless sensor networks (WSNs) have attracted considerable attention from the research community as efficient way to explore various kinds of environments. Sensor applications can be useful different domains (terrestrial, underwater, space exploration, etc.). However, one major constraints such energy consumption that increases when data transmission increases. Consequently,...

Data collection from unreachable terrain and then transmit the information to sink is a fundamental task in periodic sensor networks. Energy major constraint for this network as only source of energy battery with limited lifetime. Therefore, order keep networks operating long time, adaptive sampling approach data constitutes mechanism optimization. The key idea behind allow each node adapt its rates physical changing dynamics. In way, over-sampling can be minimised power efficiency overall...

Patient monitoring is becoming a requirement for offering better healthcare to an increasing number of chronic patients whether they are living alone, or in nursing homes. Thus, it necessary constantly monitor their vital signs effectively control health condition and provide urgent treatment while emergency such as abnormal variation heart rate occurs. In recent years, wireless body sensor networks have emerged low cost solution applications. However, processing the huge amount raw data...

The inherent limitation in energy resources and computational power for sensor nodes a Wireless Sensor Network, poses the challenge of extending lifetime these networks. Since radio communication is dominant consuming activity, most presented approaches focused on reducing number data transmitted to central workstation. This can be achieved by deploying both workstation node synchronized prediction model capable forecasting future values. Thus, enabling transmit only values that surpasses...

Low data delivery efficiency and high energy consumption are inherent problems in sensor networks. Finding accurate is difficult leads to expensive readings. Adaptive collection aggregation techniques provide opportunities for reducing the of continuous collection. In this paper, we propose an adaptive scheme periodic Our approach two-fold: firstly, present efficient sampling based on dependence conditional variance measurements varies over time. Then, over-sampling can be minimised power...

In emergency call centers, operators are required to analyze and prioritize situations prior any intervention. This allows the team deploy resources efficiently if needed, thereby provide optimal assistance victims. The automation of such an analysis remains challenging, given unpredictable nature calls. Therefore, in this study, we describe our attempt improving calls processing system's accuracy classification emergency's severity, based on transcriptions caller's speech. Specifically,...

Synchronous iterative algorithms are often less scalable than asynchronous ones. Performing large scale experiments with different kind of network parameters is not easy because supercomputers such fixed. So, one solution consists in using simulations first order to analyze what could influence or the behavior an algorithm. In this paper, we show that it interesting use SimGrid simulate algorithms. For that, compare a synchronous GMRES algorithm multisplitting which let us easily choose some...

The application service provider (ASP) model is a valuable candidate to provide simple computing grid access. In this model, users submit requests execute already deployed applications on their own data. context, finding good server request not the only way increase performances. As size of data may be huge, it also mandatory avoid useless transfers between client and servers. Most existing ASP platforms management services facilitate improve executions by automatically distributing...

This paper focuses on large scale experiments with Java and asynchronous iterative applications. In those applications, tasks are dependent the use of distant clusters may be difficult, for example, because latencies, heterogeneity, synchronizations. Experiments have been conducted Grid'5000 platform using a new version Jace environment. We study behavior an application (the Poisson problem) following experimentation conditions: one several sites, number processors (from 80 to 500),...

Data reduction is a well known efficient technique to reduce energy consumption in wireless sensor networks (WSN). It consists reducing the amount of data sensed and transmitted sink. In this paper, we propose an energy-efficient two-levels based on clustering architecture. At first level, each sends set representative points cluster-head (CH) at period, instead sending raw data. When are received by CH, it uses Euclidean distance order eliminate redundant generated neighboring nodes, before...

Abstract Network‐enabled server (NES) environments are valuable candidates to provide simple computing Grid access. These allow transparent access a set of computational servers via Remote Procedure Call mechanisms. In this context, challenge is increase performances by decreasing data traffic. This paper presents DTM (Data Tree Manager), management service for NES environments. Based on the notions persistency and replication, proposes efficient policies which minimize computation times...