Center for Embedded Network Sensing
Parent: UCLA
eScholarship stats: Breakdown by Item for June through September, 2026
| Item | Title | Total requests | Download | View-only | %Dnld |
|---|---|---|---|---|---|
| 19h777qd | Participatory sensing | 486 | 63 | 423 | 13.0% |
| 2wx27188 | EmTOS: A Development Tool for Heterogeneous Sensor Networks | 395 | 292 | 103 | 73.9% |
| 2t29v9wj | Nonmyopic Adaptive Informative Path Planning for Multiple Robots | 314 | 32 | 282 | 10.2% |
| 0qt608kr | Pervasive Computing: Embedding the Public Sphere | 240 | 112 | 128 | 46.7% |
| 4r48w3bb | Efficient Planning of Informative Paths for Multiple Robots | 238 | 27 | 211 | 11.3% |
| 62p28371 | Directed Diffusion for Wireless Sensor Networking | 238 | 70 | 168 | 29.4% |
| 2tp2w3g0 | Time Synchronization in Wireless Sensor Networks | 228 | 175 | 53 | 76.8% |
| 7qd6q8qm | Smart Screen Management on Mobile Phones | 220 | 66 | 154 | 30.0% |
| 13r0q4fc | Virgil: Objects on the Head of a Pin | 215 | 40 | 175 | 18.6% |
| 9bp57793 | The Tenet Architecture for Tiered Sensor Networks | 211 | 60 | 151 | 28.4% |
| 3fk811r7 | Avrora Scalable Simulation of Sensor Networks with Precise Timing | 201 | 58 | 143 | 28.9% |
| 4c0876vh | Networking Issues in Wireless Sensor Networks | 201 | 145 | 56 | 72.1% |
| 51w6x5tx | Infrastructureless Location Aware Configuration for Sensor Networks and the Follow-Me Application | 198 | 154 | 44 | 77.8% |
| 7wz2x25d | A Wireless Sensor Network for Structural Health Monitoring: Performance and Experience | 197 | 45 | 152 | 22.8% |
| 88b146bk | The Atom LEAP Platform For Energy-Efficient Embedded Computing | 183 | 59 | 124 | 32.2% |
| 76x92441 | Design Considerations for Solar Energy Harvesting Wireless Embedded Systems | 173 | 85 | 88 | 49.1% |
| 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% |
| 5mh7m01j | Timing-sync Protocol for Sensor Networks | 165 | 33 | 132 | 20.0% |
| 6fs4559s | Little Science Confronts the Data Deluge: Habitat Ecology, Embedded Sensor Networks, and Digital Libraries | 163 | 102 | 61 | 62.6% |
| 28p3k1rj | Forced Vibration Testing of a Four-Story Reinforced Concrete Building Utilizing the nees@UCLA Mobile Field Laboratory | 161 | 47 | 114 | 29.2% |
| 3s80t0pj | AndWellness: An Open Mobile System for Activity and Experience Sampling | 159 | 18 | 141 | 11.3% |
| 0k03m88d | Optimal and Global Time Synchronization in Sensornets | 156 | 51 | 105 | 32.7% |
| 1rb4285n | Sensor Network Data Fault Types | 156 | 73 | 83 | 46.8% |
| 8867594b | Tansley Review: Environmental sensor networks in ecological research | 154 | 46 | 108 | 29.9% |
| 5dj0231s | Coherent Acoustic Array Processing and Localization on Wireless Sensor Networks | 151 | 65 | 86 | 43.0% |
| 5pq690k8 | Cyclops: In Situ Image Sensing and Interpretation in Wireless Sensor Networks | 150 | 25 | 125 | 16.7% |
| 57q902x5 | Acoustic Sensor Networks for Woodpecker Localization | 147 | 42 | 105 | 28.6% |
| 81s2s0t2 | Accurate Energy Attribution and Accounting for Multi-core Systems | 144 | 24 | 120 | 16.7% |
| 4sn741ns | Designing the Personal Data Stream: Enabling Participatory Privacy in Mobile Personal Sensing | 141 | 11 | 130 | 7.8% |
| 5dk8r03w | Subduction Zone Seismic Experiment in Peru: Results From a Wireless Seismic Network | 140 | 26 | 114 | 18.6% |
| 5t09j13j | Personal Data Vault: A Privacy Architecture for Mobile Personal Sensing | 140 | 19 | 121 | 13.6% |
| 85f6w6sv | Forest understory soil temperatures and heat flux calculated using a Fourier model and scaled using a digital camera | 140 | 55 | 85 | 39.3% |
| 8zx0j3jk | Marching Velocity of Capillary Meniscuses in Microchannels | 139 | 49 | 90 | 35.3% |
| 2xr2r802 | Four Billion Little Brothers? Privacy, mobile phones, and ubiquitous data collection | 138 | 35 | 103 | 25.4% |
| 95t603tj | Participatory Sensing for Community Data Campaigns: A case study | 134 | 30 | 104 | 22.4% |
| 6w6295sp | Engaging women in computer science and engineering: Insights from a national study of undergraduate research experiences | 133 | 23 | 110 | 17.3% |
| 3ks9198m | Nanorobots, NEMS, and Nanoassembly | 132 | 45 | 87 | 34.1% |
| 4kw5x35z | Timing-sync protocol for sensor networks | 131 | 52 | 79 | 39.7% |
| 73s798t3 | Data Mining Applied to Acoustic Bird Species Recognition | 131 | 89 | 42 | 67.9% |
| 8v26b5qh | Rapid Deployment with Confidence:Calibration and Fault Detection in Environmental Sensor Networks | 130 | 22 | 108 | 16.9% |
| 8mb6468v | Staggered Sampling for Efficient Data Collection | 129 | 17 | 112 | 13.2% |
| 7kb1r614 | Progress in Detection and Identification of Marine Microorganisms | 128 | 80 | 48 | 62.5% |
| 5hp8j5sk | Experiments with Underwater Robot Localization and Tracking | 127 | 58 | 69 | 45.7% |
| 8q70p81g | A Receding Horizon Control Algorithm for Adaptive Management of Soil Moisture and Chemical Levels during Irrigation | 125 | 58 | 67 | 46.4% |
| 31f765tj | On the Prevalence of Sensor Faults in Real-World Deployments | 124 | 57 | 67 | 46.0% |
| 5sd603sk | Topology Control Protocols to Conserve Energy in Wireless Ad Hoc Networks | 124 | 37 | 87 | 29.8% |
| 8wb43238 | Ambulation: a tool for monitoring mobility patterns over time using mobile phones | 124 | 38 | 86 | 30.6% |
| 08g209b4 | Physical, chemical, and biological factors shaping phytoplankton community structure in King Harbor, Redondo Beach, California | 123 | 28 | 95 | 22.8% |
| 3sd731gv | Sensor Network Data Fault Detection Using Bayesian Maximum a Posterior Sensor Selection and Hierarchical Bayesian Space-Time Models | 123 | 15 | 108 | 12.2% |
Note: Due to the evolving nature of web traffic, the data presented here should be considered approximate and subject to revision. Learn more.