NewEvery arXiv paper, its researchers & institutions — mapped.
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#energy efficiency

15 results
cs.NI2019

Mobility based network lifetime in wireless sensor networks: A review

Linh Nguyen, Hoc T. Nguyen

The paper surveys techniques that exploit the mobility of sensor nodes and/or sinks to prolong the lifetime of mobile wireless sensor networks.

#mobile sensor networks#network lifetime#energy efficiency#mobile sink
cs.ET2019

Implementing Binarized Neural Networks with Magnetoresistive RAM without Error Correction

Tifenn Hirtzlin, Bogdan Penkovsky, Jacques-Olivier Klein +5

The paper demonstrates that binarized neural networks can tolerate the write errors inherent in spin‑torque MRAM, allowing low‑energy, error‑correction‑free in‑memory implementatio…

#binarized neural networks#st-mram#in-memory computing#error tolerance
cs.IT2019

Energy Efficient and Throughput Optimal CSMA Scheme

Ali Maatouk, Mohamad Assaad, Anthony Ephremides

The paper proposes a distributed CSMA MAC protocol that jointly achieves throughput optimality and energy savings by dynamically adjusting back‑off and sleep timers for each link.

#csma#medium access control#energy efficiency#throughput optimality
eess.SP2019

Coordinated Hybrid Precoding for Interference Exploitation in Heterogeneous Networks

Ganapati Hegde, Christos Masouros, Marius Pesavento

The paper proposes a coordinated hybrid precoding method for downlink massive MIMO heterogeneous networks that exploits interference to reduce total transmit power while meeting us…

#massive mimo#hybrid precoding#interference exploitation#heterogeneous networks
cs.DC2019

Using Machine Learning to Optimize Web Interactions on Heterogeneous Mobile Multi-cores

Lu Yuan, Jie Ren, Ling Gao +2

The paper proposes a machine‑learning based runtime system that predicts frame rates for user interactions on mobile web pages and selects optimal processor cores and clock speeds…

#energy efficiency#mobile web browsing#heterogeneous multicore#machine learning
cs.NI2019

Fuzzy informer homed routing protocol for wireless sensor network

Gholamreza Kakamanshadi, Savita Gupta, Sukhwinder Singh

The paper proposes a fuzzy informer homed routing protocol for wireless sensor networks that uses fuzzy logic to estimate cluster head communication ranges, aiming to balance workl…

#fuzzy logic#routing protocol#wireless sensor networks#energy efficiency
eess.SP2019

Energy Efficiency Optimization for UAV-assisted Backscatter Communications

Shengzhi Yang, Yansha Deng, Xuanxuan Tang +2

The paper proposes a UAV‑assisted backscatter communication system for IoT devices and optimizes the UAV’s data‑collection location to maximize energy efficiency while meeting outa…

#uav communications#backscatter#energy efficiency#iot
cs.DC2019

MAPO: A Multi-Objective Model for IoT Application Placement in a Fog Environment

Narges Mehran, Dragi Kimovski, Radu Prodan

The paper introduces MAPO, a Pareto‑based multi‑objective model for placing IoT applications in fog environments, jointly optimizing completion time, energy consumption, and econom…

#fog computing#iot application placement#multi-objective optimization#resource management
cs.CV2019

RRNet: Repetition-Reduction Network for Energy Efficient Decoder of Depth Estimation

Sangyun Oh, Hye-Jin S. Kim, Jongeun Lee +1

The paper presents RRNet, a depth‑estimation network that uses repetition‑reduction blocks to cut memory usage, energy consumption, and inference time, achieving several‑fold impro…

#depth estimation#lightweight networks#energy efficiency#resource‑constrained inference
cs.RO2019

Aerial Robot Control in Close Proximity to Ceiling: A Force Estimation-based Nonlinear MPC

Basaran Bahadir Kocer, Mehmet Efe Tiryaki, Mahardhika Pratama +2

The paper introduces a control framework for UAVs that enables safe, accurate flight within 1 cm of a ceiling by using force estimation and a nonlinear model predictive controller,…

#aerial robotics#close-proximity flight#nonlinear model predictive control#force estimation
cs.DC2019

Deploying a Top-100 Supercomputer for Large Parallel Workloads: the Niagara Supercomputer

Marcelo Ponce, Ramses van Zon, Scott Northrup +14

The paper describes the design, procurement, deployment, and transition of Niagara, a 60,000‑core, 3.02 petaflop supercomputer that supports large parallel scientific workloads in…

#supercomputing#cluster deployment#parallel workloads#energy efficiency
cs.LG2019

A Temporal Clustering Algorithm for Achieving the trade-off between the User Experience and the Equipment Economy in the Context of IoT

Caio Ponte, Carlos Caminha, Rafael Bomfim +2

The paper introduces the Temporal Clustering Algorithm, an incremental learning method for IoT devices that predicts water dispenser usage to balance user comfort and energy saving…

#incremental learning#temporal clustering#energy efficiency#iot devices
cs.NI2019

A Survey of Energy Efficiency in SDN Software Based Methods and Optimization Models

Beakal Gizachew Assefa, Öznur Özkasap

The paper surveys software-based methods for improving energy efficiency in Software Defined Networking, classifies them into traffic-aware, end-system-aware, and rule placement ap…

#software-defined networking#energy efficiency#network optimization#traffic-aware routing
cs.NI2019

Delay Analysis in Full-Duplex Heterogeneous Cellular Networks

Leila Marandi, Mansour Naslcheraghi, Seyed Ali Ghorashi +1

The paper uses stochastic geometry to evaluate the local delay and energy efficiency of downlink transmissions in full‑duplex heterogeneous cellular networks, selecting half‑ or fu…

#full-duplex#heterogeneous networks#local delay#stochastic geometry
cs.IT2019

Energy Efficient Resource Allocation for Hybrid Services with Future Channel Gains

Changyang She, Chenyang Yang

The paper proposes a two‑timescale resource allocation framework that uses predicted average channel gains to improve the energy efficiency of systems serving both real‑time and no…

#energy efficiency#resource allocation#channel prediction#two-timescale optimization