Technical Reports
Parent: Center for Embedded Network Sensing
eScholarship stats: Breakdown by Item for April through July, 2024
| Item | Title | Total requests | Download | View-only | %Dnld |
|---|---|---|---|---|---|
| 4zw2f3s6 | Colibration: A Collaborative Approach to In-Place Sensor Calibration | 83 | 15 | 68 | 18.1% |
| 2t29v9wj | Nonmyopic Adaptive Informative Path Planning for Multiple Robots | 59 | 14 | 45 | 23.7% |
| 2tp2w3g0 | Time Synchronization in Wireless Sensor Networks | 55 | 38 | 17 | 69.1% |
| 4kw5x35z | Timing-sync protocol for sensor networks | 50 | 14 | 36 | 28.0% |
| 6qt7q51z | Information-Theoretic Approaches for Sensor Selection and Placement in Sensor Networks for Target Localization and Tracking | 50 | 7 | 43 | 14.0% |
| 81s2s0t2 | Accurate Energy Attribution and Accounting for Multi-core Systems | 50 | 15 | 35 | 30.0% |
| 8v26b5qh | Rapid Deployment with Confidence:Calibration and Fault Detection in Environmental Sensor Networks | 47 | 8 | 39 | 17.0% |
| 7bx0g78h | Participatory Design of Sensing Networks: Strengths and Challenges | 42 | 14 | 28 | 33.3% |
| 95t603tj | Participatory Sensing for Community Data Campaigns: A case study | 42 | 15 | 27 | 35.7% |
| 88b146bk | The Atom LEAP Platform For Energy-Efficient Embedded Computing | 37 | 12 | 25 | 32.4% |
| 7qd6q8qm | Smart Screen Management on Mobile Phones | 35 | 6 | 29 | 17.1% |
| 73k4d7cz | A Unified Network and Node Level Simulation Framework for Wireless Sensor Networks | 34 | 9 | 25 | 26.5% |
| 8q70p81g | A Receding Horizon Control Algorithm for Adaptive Management of Soil Moisture and Chemical Levels during Irrigation | 32 | 8 | 24 | 25.0% |
| 8wb43238 | Ambulation: a tool for monitoring mobility patterns over time using mobile phones | 32 | 7 | 25 | 21.9% |
| 6sj003r4 | Wireless Urban Sensing Systems | 27 | 9 | 18 | 33.3% |
| 3s75m359 | Data Modeling and Synthetic Data Generation For Fine-Grained Networked Sensing | 26 | 11 | 15 | 42.3% |
| 5085h7qt | Bacterium-inspired Robots for Environmental Monitoring | 26 | 11 | 15 | 42.3% |
| 77d882tk | Adaptive Sampling for Environmental Robotics | 26 | 7 | 19 | 26.9% |
| 01h8v8qt | Coping with irregular spatio-temporal sampling in sensor networks | 25 | 11 | 14 | 44.0% |
| 3sd731gv | Sensor Network Data Fault Detection Using Bayesian Maximum a Posterior Sensor Selection and Hierarchical Bayesian Space-Time Models | 25 | 5 | 20 | 20.0% |
| 2g49z78g | SCALE: A tool for Simple Connectivity Assessment in Lossy Environments | 24 | 10 | 14 | 41.7% |
| 5j74t2g2 | Sensor Network Data Fault Detection using Hierarchical Bayesian Space-Time Modeling | 24 | 7 | 17 | 29.2% |
| 9c1796x6 | Intelligent Fluid Infrastructure for Embedded Networks | 24 | 10 | 14 | 41.7% |
| 9s9717fw | EmStar: a Software Environment for Developing and Deploying Wireless Sensor Networks | 24 | 5 | 19 | 20.8% |
| 0k03m88d | Optimal and Global Time Synchronization in Sensornets | 23 | 6 | 17 | 26.1% |
| 1f27k34v | Efficient and Practical Query Scoping in Sensor Networks | 23 | 8 | 15 | 34.8% |
| 1s15s57s | Networked Infomechanical Systems (NIMS) for Ambient Intelligence | 23 | 11 | 12 | 47.8% |
| 4mt9x7qk | Fixing Faults in Wireless Sensing Systems with Confidence | 23 | 11 | 12 | 47.8% |
| 5qm2r7px | Optimal Spectrum Management in Multiuser Interference Channels | 22 | 7 | 15 | 31.8% |
| 9wm343pn | Sharing Sensor Network Data | 22 | 4 | 18 | 18.2% |
| 47k5b67p | The Energy Endoscope: Real-time Detailed Energy Accounting for Wireless Sensor Nodes | 21 | 9 | 12 | 42.9% |
| 2446x3n4 | Self-configuring Localization Systems: Design and Experimental Evaluation | 20 | 9 | 11 | 45.0% |
| 8823t1n2 | Heartbeat of a Nest: Using Imagers as Biological Sensors | 20 | 8 | 12 | 40.0% |
| 41b2k7b6 | Tenet: An Architecture for Tiered Embedded Networks | 19 | 5 | 14 | 26.3% |
| 4jd4f32h | Real-Time Adaptive Management of Soil Salinity Using a Receding Horizon Control Algorithm: A Pilot-Scale Demonstration | 19 | 8 | 11 | 42.1% |
| 5ft2s305 | The Low Power Energy Aware Processing (LEAP) Embedded Networked Sensor System | 19 | 7 | 12 | 36.8% |
| 6359f69q | Augmenting Film and Video Footage with Sensor Data | 19 | 8 | 11 | 42.1% |
| 28v8b7c9 | The Final Frontier: Embedding Networked Sensors in the Soil | 18 | 3 | 15 | 16.7% |
| 5h22d6xv | EmStar: An Environment for Developing Wireless Embedded Systems Software | 18 | 10 | 8 | 55.6% |
| 8st0m5wk | Hyper: A Routing Protocol To Support Mobile Users of Sensor Networks | 18 | 2 | 16 | 11.1% |
| 0h69t3ng | A Platform for Collaborative Acoustic Signal Processing | 17 | 4 | 13 | 23.5% |
| 20f0w8wn | New Visualization Tools for Environmental Sensor Networks: Using Google Earth as an Interface to Micro-Climate and Multimedia Datasets | 17 | 7 | 10 | 41.2% |
| 9nv096c4 | Mote Herding for Tiered Wireless Sensor Networks | 17 | 8 | 9 | 47.1% |
| 2nj1r0x8 | Collecting High-Rate Data Over Low-Rate Sensor Network Radios | 16 | 5 | 11 | 31.3% |
| 0s17w7fc | An Environmental Energy Harvesting Framework for Sensor Networks | 15 | 6 | 9 | 40.0% |
| 2s2878kf | Use more realistic data models to evaluate sensor network data processing algorithms | 15 | 8 | 7 | 53.3% |
| 7617924b | Achieving Participatory Privacy Regulation: Guidelines for CENS Urban Sensing | 14 | 5 | 9 | 35.7% |
| 7fs3g0c5 | Long-lived solid state perchlorate ion selective sensor based on doped poly(3,4-ethylenedioxythiophene) (PEDOT) films | 14 | 6 | 8 | 42.9% |
| 9q5244gn | Energy-Efficient Task Assignment Framework for Wireless Sensor Networks | 14 | 2 | 12 | 14.3% |
| 6p95c0fh | An evaluation of multi-resolution search and storage in resource-constrained sensor networks | 13 | 3 | 10 | 23.1% |
Disclaimer: due to the evolving nature of the web traffic we receive and the methods we use to collate it, the data presented here should be considered approximate and subject to revision.