| Nome |
# |
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CoAP vs. MQTT-SN: Comparison and Performance Evaluation in Publish-Subscribe Environments, file e0c31c12-218b-4599-e053-1705fe0aef77
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1.615
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IoT Communication Technologies for Smart Cities, file e0c31c0c-f698-4599-e053-1705fe0aef77
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1.058
|
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A Visual Sensor Network for Parking Lot Occupancy Detection in Smart Cities, file e0c31c09-6972-4599-e053-1705fe0aef77
|
922
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BORDER: a Benchmarking Framework for Distributed MQTT Brokers, file 059afd8c-20fb-4752-adbe-96b514e16b8e
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784
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Understanding the WiFi usage of university students, file e0c31c09-db7e-4599-e053-1705fe0aef77
|
784
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A hybrid BLE and Wi-Fi localization system for the creation of study groups in smart libraries, file e0c31c0a-d126-4599-e053-1705fe0aef77
|
774
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|
A Framework for Planning LoRaWan Networks, file e0c31c0c-f69a-4599-e053-1705fe0aef77
|
711
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How do ALOHA and Listen before Talk Coexist in LoRaWAN?, file e0c31c0c-f69c-4599-e053-1705fe0aef77
|
642
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|
Transfer Learning for Tilt-Dependent Radio Map Prediction, file e0c31c0e-e3c4-4599-e053-1705fe0aef77
|
634
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Transfer Learning for Channel Quality Prediction, file e0c31c0d-c031-4599-e053-1705fe0aef77
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559
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Radio Map Interpolation using Graph Signal Processing, file e0c31c0b-47c5-4599-e053-1705fe0aef77
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512
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Augmenting lorawan performance with listen before talk, file e0c31c11-ac48-4599-e053-1705fe0aef77
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507
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Building up knowledge through passive WiFi probes, file e0c31c0b-8354-4599-e053-1705fe0aef77
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506
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Passive classification of Wi-Fi enabled devices, file e0c31c0a-34d0-4599-e053-1705fe0aef77
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399
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Towards a Scaled IoT Pub/Sub Architecture for 5G Networks: The Case of Multiaccess Edge Computing, file e0c31c0e-6eae-4599-e053-1705fe0aef77
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358
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Compress-then-Analyze vs Analyze-then-Compress: what is best in Visual Sensor Networks?, file e0c31c09-db80-4599-e053-1705fe0aef77
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319
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Crowdsourcing or Network KPIs? A Twofold Perspective for QoE Prediction in Cellular Networks, file e0c31c11-2edc-4599-e053-1705fe0aef77
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294
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EZ-VSN: An Open-Source and Flexible Framework for Visual Sensor Networks, file e0c31c09-d45a-4599-e053-1705fe0aef77
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283
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Experimental evaluation of a video streaming system for Wireless Multimedia Sensor Networks, file e0c31c09-dd96-4599-e053-1705fe0aef77
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278
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Transferring knowledge for tilt-dependent radio map prediction, file e0c31c0d-46a5-4599-e053-1705fe0aef77
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275
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Building up knowledge through passive WiFi probes, file e0c31c11-6362-4599-e053-1705fe0aef77
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272
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Briskola: BRISK optimized for low-power ARM architectures, file e0c31c08-803a-4599-e053-1705fe0aef77
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268
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A prediction-based approach for features aggregation in Visual Sensor Networks, file e0c31c0c-b564-4599-e053-1705fe0aef77
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251
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Bamboo: A fast descriptor based on AsymMetric pairwise BOOsting, file e0c31c08-879f-4599-e053-1705fe0aef77
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249
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Design and implementation of an advanced MQTT broker for distributed pub/sub scenarios, file 131fe5eb-3b4b-403d-b83a-e71635372be5
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243
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Game theoretic approach for cooperative feature extraction in camera networks, file e0c31c09-d6f9-4599-e053-1705fe0aef77
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242
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Hybrid coding of visual content and local image features, file e0c31c09-3d25-4599-e053-1705fe0aef77
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229
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A 5G-Enabled Smart Waste Management System for University Campus, file e0c31c12-6979-4599-e053-1705fe0aef77
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229
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Modeling Energy Consumption of Mobile Radio Networks: An Operator Perspective, file e0c31c11-6cf6-4599-e053-1705fe0aef77
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226
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Distributed object recognition in Visual Sensor Networks, file e0c31c08-8716-4599-e053-1705fe0aef77
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223
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Forecasting Mobile Cellular Traffic Sampled at Different Frequencies, file e0c31c0e-a7e0-4599-e053-1705fe0aef77
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222
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Analyzing Different Mobile Applications in Time and Space: a City-Wide Scenario, file e0c31c0e-6eb0-4599-e053-1705fe0aef77
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221
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Enabling visual analysis in wireless sensor networks, file e0c31c08-83af-4599-e053-1705fe0aef77
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220
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Coding binary local features extracted from video sequences, file e0c31c08-87a0-4599-e053-1705fe0aef77
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218
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Towards Long-Term Coverage and Video Users Satisfaction Prediction in Cellular Networks, file e0c31c0e-a7de-4599-e053-1705fe0aef77
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216
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Demonstrating MQTT+: An advanced broker for data filtering, processing and aggregation, file e0c31c0c-e2d6-4599-e053-1705fe0aef77
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207
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Multi-view coding and routing of local features in Visual Sensor Networks, file e0c31c09-ceb7-4599-e053-1705fe0aef77
|
200
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GreenEyes: Networked energy-aware visual analysis, file e0c31c09-3c51-4599-e053-1705fe0aef77
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196
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A Mathematical Programming Approach to Task Offloading in Visual Sensor Networks, file e0c31c08-8660-4599-e053-1705fe0aef77
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182
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Multi-view coding of local features in visual sensor networks, file e0c31c08-815f-4599-e053-1705fe0aef77
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175
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Pairing Wi-Fi and Bluetooth MAC addresses through passive packet capture, file e0c31c0c-7778-4599-e053-1705fe0aef77
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162
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Load balancing and performance optimization in wM-Bus smart meter networks, file e0c31c0c-4f2b-4599-e053-1705fe0aef77
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161
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MQTT+: Enhanced syntax and broker functionalities for data filtering, processing and aggregation, file e0c31c0c-dbaa-4599-e053-1705fe0aef77
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161
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A survey on compact features for visual content analysis, file e0c31c09-b4c6-4599-e053-1705fe0aef77
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157
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Energy-aware dynamic resource allocation in virtual sensor networks, file e0c31c0c-4cb8-4599-e053-1705fe0aef77
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156
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Coding Local and Global Binary Visual Features Extracted from Video Sequences, file e0c31c08-8658-4599-e053-1705fe0aef77
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149
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Take the trash out... to the edge. Creating a Smart Waste Bin based on 5G Multi-access Edge Computing, file e0c31c11-6914-4599-e053-1705fe0aef77
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132
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D-MQTT: design and implementation of a pub/sub broker for distributed environments, file e0c31c11-b2e7-4599-e053-1705fe0aef77
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116
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Beyond cellular green generation: Potential and challenges of the network separation, file e0c31c0a-f9f6-4599-e053-1705fe0aef77
|
111
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Fast keypoint detection in video sequences, file e0c31c09-d6f7-4599-e053-1705fe0aef77
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109
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Machine-Learning Based Prediction of Next HTTP Request Arrival Time in Adaptive Video Streaming, file e0c31c12-446f-4599-e053-1705fe0aef77
|
96
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|
Cooperative features extraction in Visual Sensor Networks: A game-theoretic approach, file e0c31c09-374c-4599-e053-1705fe0aef77
|
81
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Adaptive Quality of Service Control for MQTT-SN, file 335f970a-9664-4580-bc6e-c931687b10c9
|
56
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Cooperative image analysis in visual sensor networks, file e0c31c0e-4c25-4599-e053-1705fe0aef77
|
50
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Joint Application Admission Control and Network Slicing in Virtual Sensor Networks, file e0c31c11-9aa7-4599-e053-1705fe0aef77
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48
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Designing smart product-service systems for smart cities with 5G technology: the Polaris case study, file 19f1ae38-1969-4b51-be29-b41a0d8d0fa6
|
40
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A LoRa-based protocol for connecting IoT edge computing nodes to provide small-data-based services, file 29bbaec8-6b01-404a-b1b0-03d34bfcea52
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36
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Coding Visual Features Extracted From Video Sequences, file e0c31c0d-d573-4599-e053-1705fe0aef77
|
34
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Feature-Sniffer: Enabling IoT Forensics in OpenWrt based Wi-Fi Access Points, file 5cda8958-333e-466b-84af-6f9d4ce7955e
|
28
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Coding Local and Global Binary Visual Features Extracted from Video Sequences, file e0c31c12-a333-4599-e053-1705fe0aef77
|
26
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Unsatisfied today, satisfied tomorrow: A simulation framework for performance evaluation of crowdsourcing-based network monitoring, file e0c31c12-a547-4599-e053-1705fe0aef77
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25
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Energy Consumption Of Visual Sensor Networks: Impact Of Spatio--Temporal Coverage, file e0c31c0d-a93d-4599-e053-1705fe0aef77
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19
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Collecting Channel State Information in Wi-Fi Access Points for IoT Forensics, file 2b60abd5-40b9-45d1-aa84-344fdd691100
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16
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null, file 5a59ec7c-a2da-444b-a3f7-0888ca9fac4a
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14
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Analysis of Unslotted IEEE 802.15.4 Networks with Heterogeneous Traffic Classes, file e0c31c11-ac49-4599-e053-1705fe0aef77
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13
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Smart Gate: a Modular System for Occupancy and Environmental Monitoring of Spaces, file e0c31c10-7a42-4599-e053-1705fe0aef77
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7
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Augmenting lorawan performance with listen before talk, file e0c31c0d-eaf0-4599-e053-1705fe0aef77
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6
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Analysis of Unslotted IEEE 802.15.4 Networks with Heterogeneous Traffic Classes, file e0c31c0d-a9ff-4599-e053-1705fe0aef77
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5
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Designing a Forensic-Ready Wi-Fi Access Point for the Internet of Things, file 7dd22e42-e1a0-4e8a-a228-b9cb4244270c
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4
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Joint Application Admission Control and Network Slicing in Virtual Sensor Networks, file e0c31c0c-1299-4599-e053-1705fe0aef77
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4
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Modeling Energy Consumption of Mobile Radio Networks: An Operator Perspective, file e0c31c0b-3999-4599-e053-1705fe0aef77
|
3
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Coding Visual Features Extracted From Video Sequences, file e0c31c08-20c6-4599-e053-1705fe0aef77
|
2
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Energy Consumption Of Visual Sensor Networks: Impact Of Spatio--Temporal Coverage, file e0c31c08-214f-4599-e053-1705fe0aef77
|
2
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Walk this way! An IoT-based urban routing system for smart cities, file e0c31c0f-0774-4599-e053-1705fe0aef77
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2
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Using the (Crystal) Ball: Forecasting Network Traffic Peaks with Football Events, file 2ae67ea7-8303-4398-8fb2-f5711f2b2ac9
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1
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Forecasting Busy-Hour Downlink Traffic in Cellular Networks, file 9b65f3bd-860a-4365-91e4-4c182624faf8
|
1
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Cooperative image analysis in visual sensor networks, file e0c31c07-be92-4599-e053-1705fe0aef77
|
1
|
|
Tree-based routing protocol for mobile Wireless Sensor Networks, file e0c31c07-e646-4599-e053-1705fe0aef77
|
1
|
|
LAURA - LocAlization and Ubiquitous monitoRing of pAtients for health care support, file e0c31c07-e72e-4599-e053-1705fe0aef77
|
1
|
|
Low bitrate coding schemes for local image descriptors, file e0c31c08-0057-4599-e053-1705fe0aef77
|
1
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Rate-accuracy optimization in visual wireless sensor networks, file e0c31c08-005a-4599-e053-1705fe0aef77
|
1
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|
Demonstrating on-demand cell switching with a two-layer mobile network testbed, file e0c31c0a-5713-4599-e053-1705fe0aef77
|
1
|
| Totale |
18.742 |