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Underwater Sensor Networks (USN) has a wide range of aquatic application that is totally different from terrestrial sensor network. The nodes of USN has a peculiar character tics like float mobility, limited bandwidth and energy, signal and link quality, routing challenges and its cost and high error probability. This nature if USN degrades the performance in terms of throughput and lifetime. This...
Similarity computations are crucial in various web activities like advertisements, search or trust-distrust predictions. These similarities often vary with time as product perception and popularity constantly change with users' evolving inclination. The huge volume of user-generated data typically results in heavyweight computations for even a single similarity update. We present I-SIM, a novel similarity...
Efficiently exploiting thread level parallelism from new multicore systems has been challenging for software developers. While blindly increasing the number of threads may lead to performance gains, it can also result in disproportionate increase in energy consumption. For this reason, rightly choosing the number of threads is essential to reach the best compromise between both. However, such task...
This paper presents a new approach of clusteringmechanism in the wireless sensor networks. In our proposedapproach the selection of the cluster head is based on multiplecriteria by combining varieties of performance metrics. Therefore, the main aim of this paper is to enhance the election of themost performed node in order to be a cluster head. The proposedmechanism is evaluated by Matlab and was...
Nowadays, digital video processing has become an important challenge when developing digital systems, mainly in terms of energy consumption. The High Efficiency Video Coding (HEVC) is the state-of-the-art video coding standard and the energy profiling of different HEVC encoder implementations is of key importance. HEVC encoder has different implementations developed for different goals. This work...
The operation of a wireless sensor network is constrained by the limited energy capacity of its constituent nodes. Thus a routing protocol that minimizes energy consumption will allow sensor nodes to gather data and route packets from distant nodes for longer periods of time. However, most routing metrics such as ETX and ML tend to favor certain paths, often forwarding data on the same nodes repeatedly,...
Significant progress has been made in recent years using computer programs recognizing objects in images. Meanwhile, many cameras are embedded in battery-powered systems (such as mobile phones, wearable devices, and drones) and energy efficiency is essential. Even though many research papers have been published on the topics related to low power and image recognition, there does not exist a common...
GB/T 28925-2012 is a standard of P. R. China for active radio frequency identification (RFID). It defines wireless communications between reader and tag at 2.45GHz. Framed Slotted Binary Tree (FSBT) anti-collision protocol is adapted in it. However, performance of FSBT is not evaluated and parameters of FSBT are not estimated. A metrics for evaluating time performance and another metrics for evaluating...
Improvements to sensor devices including micro-electro mechanical devices that are used for information collection and dissemination has led to the introduction of Wireless Sensor Networks (WSN). Sensor nodes in a WSN are deployed over an area to collect data from the surroundings and to perform additional actions including data aggregation and storage, computations and data transmission to gateway...
Energy-aware resource-management strategies for web-server clusters use on/off strategies which are based on thresholds. The basic idea is to turn off currently unused nodes, and on again when the load increases. The biggest challenge for these strategies is to provide enough compute power in an unexpected peak load situation. We investigate this challenge using trace-driven simulation for different...
Pushing supply voltages in the near-threshold region is today one of the main avenues to minimize power consumption in digital integrated circuits. This works well with logic units, but memory operations on standard six-transistor static RAM (6T-SRAM) cells become unreliable at low voltages. Standard cell memory (SCM) works fully reliably at near-threshold voltages, but has much lower area density...
Wireless sensor networks are valuable assets to both the commercial and military communities with applications ranging from industrial control on a factory floor to reconnaissance of a hostile border. In most applications, the sensors act as data sources and forward information generated by event triggers to a central sink or base station (BS). The unique role of the BS makes it a natural target for...
Heating, Ventilation, and Air Conditioning (HVAC) systems account for a large share of the energy consumed in commercial buildings. Simple strategies such as adjusting HVAC set point temperatures can lead to significant energy savings at no additional financial costs. Despite their promising results, it is currently unclear if such operation strategies can have unintended consequences on other building...
An examination of existing studies in the area of Routing Protocol for Low-Power and Lossy Networks (RPL) implementation in wireless sensor networks (WSNs) reveals a consistent approach taken of optimal node distribution. This in order to best evaluate networking metrics such as Packet Delivery Ratio (PDR), latency and energy consumption. The tests detailed in this paper differ from previous work,...
Energy consumption represents a large percentage of the operational expenses in data centers. Most of the existing solutions for energy-aware scheduling are focusing on job distribution and consolidation between computing servers, while network characteristics are not considered. In this paper, we propose a model of power and network-aware scheduling that can be tuned to achieve energy-savings, through...
Energy Efficiency is an important feature in poor-covered areas where not only the access to a cellular network is scarce but also energy sources are limited. In this paper, we consider a wireless mesh network to act as a local backhaul network to cover rural and remote villages. The shortage of energy in these settlements motivates to optimize the energy consumption of the wireless backhaul network...
Virtualization technology has been widely adoptedin Cloud data centers for adaptive resource provisioning. Withvirtualization, multiple virtual machines (VMs) can be colocatedon a single physical host to yield maximum efficiency. However, VMs which show high CPU utilization correlationsto other co-located peers are more likely to trigger overloadingincidents. This work provides an analysis on effects...
As the number of data centers increases, it is urgent to reduce their energy consumption. Although servers are becoming more energy-efficient, their idle consumption remains high, which is an issue as data centers are often over-provisioned. This work proposes a novel approach for building data centers with heterogeneous machines carefully chosen for their performance and energy efficiency ratios...
Energy consumption of today's datacenters is a constant concern from the standpoints of monetary and environmental costs. We model a datacenter as a queueing system, where each server can be switched on or off, with the time to switch a server on being nonnegligible. Previously derived structural properties of the optimal policy allow us to intelligently select policies to analyse further. Using the...
In this paper, we use experimental measurements to calibrate and validate a discrete-event simulator for dynamic speed scaling systems. The experimental implementation work iscarried out in an Ubuntu Linux environment using a quad-core 2.3 GHz Intel i7 processor with the Ivy Bridge micro-architecture. Our implementation provides fine-grain user-level control of process execution, and uses the Running-Average...
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