Technical Reports
Parent: Center for Embedded Network Sensing
eScholarship stats: Breakdown by Item for May through August, 2026
| Item | Title | Total requests | Download | View-only | %Dnld |
|---|---|---|---|---|---|
| 7qd6q8qm | Smart Screen Management on Mobile Phones | 225 | 70 | 155 | 31.1% |
| 2tp2w3g0 | Time Synchronization in Wireless Sensor Networks | 215 | 168 | 47 | 78.1% |
| 2t29v9wj | Nonmyopic Adaptive Informative Path Planning for Multiple Robots | 211 | 47 | 164 | 22.3% |
| 88b146bk | The Atom LEAP Platform For Energy-Efficient Embedded Computing | 197 | 69 | 128 | 35.0% |
| 8v26b5qh | Rapid Deployment with Confidence:Calibration and Fault Detection in Environmental Sensor Networks | 176 | 47 | 129 | 26.7% |
| 8wb43238 | Ambulation: a tool for monitoring mobility patterns over time using mobile phones | 170 | 61 | 109 | 35.9% |
| 0k03m88d | Optimal and Global Time Synchronization in Sensornets | 163 | 58 | 105 | 35.6% |
| 41b2k7b6 | Tenet: An Architecture for Tiered Embedded Networks | 163 | 47 | 116 | 28.8% |
| 8q70p81g | A Receding Horizon Control Algorithm for Adaptive Management of Soil Moisture and Chemical Levels during Irrigation | 161 | 68 | 93 | 42.2% |
| 95t603tj | Participatory Sensing for Community Data Campaigns: A case study | 154 | 40 | 114 | 26.0% |
| 81s2s0t2 | Accurate Energy Attribution and Accounting for Multi-core Systems | 152 | 37 | 115 | 24.3% |
| 5ft2s305 | The Low Power Energy Aware Processing (LEAP) Embedded Networked Sensor System | 151 | 34 | 117 | 22.5% |
| 60k9t66z | Experiences with the Extensible Sensing System ESS | 126 | 61 | 65 | 48.4% |
| 4kw5x35z | Timing-sync protocol for sensor networks | 125 | 55 | 70 | 44.0% |
| 3sd731gv | Sensor Network Data Fault Detection Using Bayesian Maximum a Posterior Sensor Selection and Hierarchical Bayesian Space-Time Models | 123 | 21 | 102 | 17.1% |
| 2446x3n4 | Self-configuring Localization Systems: Design and Experimental Evaluation | 120 | 40 | 80 | 33.3% |
| 9wm343pn | Sharing Sensor Network Data | 119 | 30 | 89 | 25.2% |
| 2nj1r0x8 | Collecting High-Rate Data Over Low-Rate Sensor Network Radios | 118 | 51 | 67 | 43.2% |
| 47k5b67p | The Energy Endoscope: Real-time Detailed Energy Accounting for Wireless Sensor Nodes | 116 | 43 | 73 | 37.1% |
| 7391w3v2 | Reliability and Storage in Sensor Networks | 113 | 49 | 64 | 43.4% |
| 4zw2f3s6 | Colibration: A Collaborative Approach to In-Place Sensor Calibration | 107 | 31 | 76 | 29.0% |
| 53j47623 | IDEA: Iterative experiment Design for Environmental Applications | 105 | 47 | 58 | 44.8% |
| 0h69t3ng | A Platform for Collaborative Acoustic Signal Processing | 104 | 38 | 66 | 36.5% |
| 7bx0g78h | Participatory Design of Sensing Networks: Strengths and Challenges | 104 | 30 | 74 | 28.8% |
| 7fs3g0c5 | Long-lived solid state perchlorate ion selective sensor based on doped poly(3,4-ethylenedioxythiophene) (PEDOT) films | 101 | 29 | 72 | 28.7% |
| 8st0m5wk | Hyper: A Routing Protocol To Support Mobile Users of Sensor Networks | 101 | 49 | 52 | 48.5% |
| 2s2878kf | Use more realistic data models to evaluate sensor network data processing algorithms | 99 | 33 | 66 | 33.3% |
| 01h8v8qt | Coping with irregular spatio-temporal sampling in sensor networks | 97 | 37 | 60 | 38.1% |
| 5j74t2g2 | Sensor Network Data Fault Detection using Hierarchical Bayesian Space-Time Modeling | 97 | 22 | 75 | 22.7% |
| 77d882tk | Adaptive Sampling for Environmental Robotics | 97 | 13 | 84 | 13.4% |
| 5h22d6xv | EmStar: An Environment for Developing Wireless Embedded Systems Software | 96 | 52 | 44 | 54.2% |
| 4jd4f32h | Real-Time Adaptive Management of Soil Salinity Using a Receding Horizon Control Algorithm: A Pilot-Scale Demonstration | 95 | 33 | 62 | 34.7% |
| 0s17w7fc | An Environmental Energy Harvesting Framework for Sensor Networks | 91 | 33 | 58 | 36.3% |
| 6qt7q51z | Information-Theoretic Approaches for Sensor Selection and Placement in Sensor Networks for Target Localization and Tracking | 90 | 29 | 61 | 32.2% |
| 8823t1n2 | Heartbeat of a Nest: Using Imagers as Biological Sensors | 88 | 32 | 56 | 36.4% |
| 91v6t8j2 | Actuation Techniques for Sensing Uncertainty Reduction | 83 | 30 | 53 | 36.1% |
| 7617924b | Achieving Participatory Privacy Regulation: Guidelines for CENS Urban Sensing | 80 | 44 | 36 | 55.0% |
| 28v8b7c9 | The Final Frontier: Embedding Networked Sensors in the Soil | 79 | 40 | 39 | 50.6% |
| 6gm8q0pc | Towards Event-Aware Adaptive Sampling Using Static and Mobile Nodes | 78 | 26 | 52 | 33.3% |
| 5085h7qt | Bacterium-inspired Robots for Environmental Monitoring | 77 | 20 | 57 | 26.0% |
| 73k4d7cz | A Unified Network and Node Level Simulation Framework for Wireless Sensor Networks | 73 | 27 | 46 | 37.0% |
| 9s9717fw | EmStar: a Software Environment for Developing and Deploying Wireless Sensor Networks | 73 | 32 | 41 | 43.8% |
| 1f27k34v | Efficient and Practical Query Scoping in Sensor Networks | 72 | 32 | 40 | 44.4% |
| 97x201c3 | Computation Hierarchy for In-network processing | 71 | 40 | 31 | 56.3% |
| 9s44v89q | A Sensitive and Highly Selective Nitrate Ion Selective Electrode from a Pencil Lead: An Analytical Laboratory Experiment | 71 | 44 | 27 | 62.0% |
| 4ts5w2ch | Sensor Deployment Using Interleaved Experimentation, Modeling, and Optimization | 68 | 21 | 47 | 30.9% |
| 4mt9x7qk | Fixing Faults in Wireless Sensing Systems with Confidence | 67 | 24 | 43 | 35.8% |
| 5pt8v7b2 | High Resolution River Hydraulic and Water Quality Characterization Using Rapidly Deployable Networked Infomechanical Systems (NIMS RD) | 67 | 31 | 36 | 46.3% |
| 9c1796x6 | Intelligent Fluid Infrastructure for Embedded Networks | 67 | 33 | 34 | 49.3% |
| 5qm2r7px | Optimal Spectrum Management in Multiuser Interference Channels | 66 | 30 | 36 | 45.5% |
Note: Due to the evolving nature of web traffic, the data presented here should be considered approximate and subject to revision. Learn more.