Technical Reports
Parent: Center for Embedded Network Sensing
eScholarship stats: Breakdown by Item for June through September, 2026
| Item | Title | Total requests | Download | View-only | %Dnld |
|---|---|---|---|---|---|
| 2t29v9wj | Nonmyopic Adaptive Informative Path Planning for Multiple Robots | 314 | 32 | 282 | 10.2% |
| 2tp2w3g0 | Time Synchronization in Wireless Sensor Networks | 228 | 175 | 53 | 76.8% |
| 7qd6q8qm | Smart Screen Management on Mobile Phones | 220 | 66 | 154 | 30.0% |
| 88b146bk | The Atom LEAP Platform For Energy-Efficient Embedded Computing | 183 | 59 | 124 | 32.2% |
| 5ft2s305 | The Low Power Energy Aware Processing (LEAP) Embedded Networked Sensor System | 167 | 32 | 135 | 19.2% |
| 41b2k7b6 | Tenet: An Architecture for Tiered Embedded Networks | 165 | 35 | 130 | 21.2% |
| 0k03m88d | Optimal and Global Time Synchronization in Sensornets | 156 | 51 | 105 | 32.7% |
| 81s2s0t2 | Accurate Energy Attribution and Accounting for Multi-core Systems | 144 | 24 | 120 | 16.7% |
| 95t603tj | Participatory Sensing for Community Data Campaigns: A case study | 134 | 30 | 104 | 22.4% |
| 4kw5x35z | Timing-sync protocol for sensor networks | 131 | 52 | 79 | 39.7% |
| 8v26b5qh | Rapid Deployment with Confidence:Calibration and Fault Detection in Environmental Sensor Networks | 130 | 22 | 108 | 16.9% |
| 8q70p81g | A Receding Horizon Control Algorithm for Adaptive Management of Soil Moisture and Chemical Levels during Irrigation | 125 | 58 | 67 | 46.4% |
| 8wb43238 | Ambulation: a tool for monitoring mobility patterns over time using mobile phones | 124 | 38 | 86 | 30.6% |
| 3sd731gv | Sensor Network Data Fault Detection Using Bayesian Maximum a Posterior Sensor Selection and Hierarchical Bayesian Space-Time Models | 123 | 15 | 108 | 12.2% |
| 4zw2f3s6 | Colibration: A Collaborative Approach to In-Place Sensor Calibration | 121 | 28 | 93 | 23.1% |
| 53j47623 | IDEA: Iterative experiment Design for Environmental Applications | 119 | 34 | 85 | 28.6% |
| 60k9t66z | Experiences with the Extensible Sensing System ESS | 109 | 42 | 67 | 38.5% |
| 8823t1n2 | Heartbeat of a Nest: Using Imagers as Biological Sensors | 109 | 31 | 78 | 28.4% |
| 2nj1r0x8 | Collecting High-Rate Data Over Low-Rate Sensor Network Radios | 104 | 29 | 75 | 27.9% |
| 5h22d6xv | EmStar: An Environment for Developing Wireless Embedded Systems Software | 103 | 52 | 51 | 50.5% |
| 7bx0g78h | Participatory Design of Sensing Networks: Strengths and Challenges | 98 | 18 | 80 | 18.4% |
| 9wm343pn | Sharing Sensor Network Data | 98 | 21 | 77 | 21.4% |
| 2446x3n4 | Self-configuring Localization Systems: Design and Experimental Evaluation | 97 | 30 | 67 | 30.9% |
| 4jd4f32h | Real-Time Adaptive Management of Soil Salinity Using a Receding Horizon Control Algorithm: A Pilot-Scale Demonstration | 97 | 20 | 77 | 20.6% |
| 8st0m5wk | Hyper: A Routing Protocol To Support Mobile Users of Sensor Networks | 92 | 42 | 50 | 45.7% |
| 7fs3g0c5 | Long-lived solid state perchlorate ion selective sensor based on doped poly(3,4-ethylenedioxythiophene) (PEDOT) films | 91 | 17 | 74 | 18.7% |
| 0s17w7fc | An Environmental Energy Harvesting Framework for Sensor Networks | 89 | 33 | 56 | 37.1% |
| 47k5b67p | The Energy Endoscope: Real-time Detailed Energy Accounting for Wireless Sensor Nodes | 89 | 29 | 60 | 32.6% |
| 77d882tk | Adaptive Sampling for Environmental Robotics | 88 | 10 | 78 | 11.4% |
| 9s44v89q | A Sensitive and Highly Selective Nitrate Ion Selective Electrode from a Pencil Lead: An Analytical Laboratory Experiment | 83 | 31 | 52 | 37.3% |
| 73k4d7cz | A Unified Network and Node Level Simulation Framework for Wireless Sensor Networks | 82 | 23 | 59 | 28.0% |
| 9s9717fw | EmStar: a Software Environment for Developing and Deploying Wireless Sensor Networks | 82 | 30 | 52 | 36.6% |
| 2s2878kf | Use more realistic data models to evaluate sensor network data processing algorithms | 81 | 33 | 48 | 40.7% |
| 0h69t3ng | A Platform for Collaborative Acoustic Signal Processing | 80 | 23 | 57 | 28.8% |
| 5j74t2g2 | Sensor Network Data Fault Detection using Hierarchical Bayesian Space-Time Modeling | 79 | 23 | 56 | 29.1% |
| 28v8b7c9 | The Final Frontier: Embedding Networked Sensors in the Soil | 78 | 21 | 57 | 26.9% |
| 6sj003r4 | Wireless Urban Sensing Systems | 78 | 20 | 58 | 25.6% |
| 01h8v8qt | Coping with irregular spatio-temporal sampling in sensor networks | 77 | 34 | 43 | 44.2% |
| 7391w3v2 | Reliability and Storage in Sensor Networks | 77 | 32 | 45 | 41.6% |
| 9c1796x6 | Intelligent Fluid Infrastructure for Embedded Networks | 74 | 32 | 42 | 43.2% |
| 6qt7q51z | Information-Theoretic Approaches for Sensor Selection and Placement in Sensor Networks for Target Localization and Tracking | 72 | 22 | 50 | 30.6% |
| 3v07x98q | Fidelity and Resource Sensitive Data Gathering | 70 | 14 | 56 | 20.0% |
| 4mt9x7qk | Fixing Faults in Wireless Sensing Systems with Confidence | 70 | 17 | 53 | 24.3% |
| 9q5244gn | Energy-Efficient Task Assignment Framework for Wireless Sensor Networks | 70 | 24 | 46 | 34.3% |
| 0r31h0vp | A Debugging System for Sensor Networks | 69 | 18 | 51 | 26.1% |
| 2g49z78g | SCALE: A tool for Simple Connectivity Assessment in Lossy Environments | 69 | 25 | 44 | 36.2% |
| 5085h7qt | Bacterium-inspired Robots for Environmental Monitoring | 68 | 23 | 45 | 33.8% |
| 20f0w8wn | New Visualization Tools for Environmental Sensor Networks: Using Google Earth as an Interface to Micro-Climate and Multimedia Datasets | 67 | 28 | 39 | 41.8% |
| 6359f69q | Augmenting Film and Video Footage with Sensor Data | 65 | 30 | 35 | 46.2% |
| 91v6t8j2 | Actuation Techniques for Sensing Uncertainty Reduction | 63 | 13 | 50 | 20.6% |
Note: Due to the evolving nature of web traffic, the data presented here should be considered approximate and subject to revision. Learn more.