| Nome |
# |
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CoAP vs. MQTT-SN: Comparison and Performance Evaluation in Publish-Subscribe Environments, file e0c31c12-218b-4599-e053-1705fe0aef77
|
1.593
|
|
IoT Communication Technologies for Smart Cities, file e0c31c0c-f698-4599-e053-1705fe0aef77
|
1.044
|
|
A Visual Sensor Network for Parking Lot Occupancy Detection in Smart Cities, file e0c31c09-6972-4599-e053-1705fe0aef77
|
912
|
|
BORDER: a Benchmarking Framework for Distributed MQTT Brokers, file 059afd8c-20fb-4752-adbe-96b514e16b8e
|
766
|
|
Understanding the WiFi usage of university students, file e0c31c09-db7e-4599-e053-1705fe0aef77
|
764
|
|
A Framework for Planning LoRaWan Networks, file e0c31c0c-f69a-4599-e053-1705fe0aef77
|
707
|
|
How do ALOHA and Listen before Talk Coexist in LoRaWAN?, file e0c31c0c-f69c-4599-e053-1705fe0aef77
|
636
|
|
Transfer Learning for Tilt-Dependent Radio Map Prediction, file e0c31c0e-e3c4-4599-e053-1705fe0aef77
|
625
|
|
Transfer Learning for Channel Quality Prediction, file e0c31c0d-c031-4599-e053-1705fe0aef77
|
553
|
|
Building up knowledge through passive WiFi probes, file e0c31c0b-8354-4599-e053-1705fe0aef77
|
506
|
|
Augmenting lorawan performance with listen before talk, file e0c31c11-ac48-4599-e053-1705fe0aef77
|
491
|
|
Optimal Content Prefetching in NDN Vehicle-to-Infrastructure Scenario, file e0c31c09-ae8b-4599-e053-1705fe0aef77
|
468
|
|
Cooperative Infrastructure and Spectrum Sharing in Heterogeneous Mobile Networks, file e0c31c09-c474-4599-e053-1705fe0aef77
|
398
|
|
Passive classification of Wi-Fi enabled devices, file e0c31c0a-34d0-4599-e053-1705fe0aef77
|
397
|
|
Network Selection and Resource Allocation Games for Wireless Access Networks, file e0c31c0a-1f53-4599-e053-1705fe0aef77
|
330
|
|
Compress-then-Analyze vs Analyze-then-Compress: what is best in Visual Sensor Networks?, file e0c31c09-db80-4599-e053-1705fe0aef77
|
313
|
|
Evaluating the performance of infrastructure sharing in mobile radio networks, file e0c31c08-8d71-4599-e053-1705fe0aef77
|
278
|
|
EZ-VSN: An Open-Source and Flexible Framework for Visual Sensor Networks, file e0c31c09-d45a-4599-e053-1705fe0aef77
|
278
|
|
Experimental evaluation of a video streaming system for Wireless Multimedia Sensor Networks, file e0c31c09-dd96-4599-e053-1705fe0aef77
|
276
|
|
Transferring knowledge for tilt-dependent radio map prediction, file e0c31c0d-46a5-4599-e053-1705fe0aef77
|
272
|
|
An Optimization Framework for Resource Allocation in Virtual Sensor Networks, file e0c31c09-cfcf-4599-e053-1705fe0aef77
|
270
|
|
Building up knowledge through passive WiFi probes, file e0c31c11-6362-4599-e053-1705fe0aef77
|
270
|
|
Briskola: BRISK optimized for low-power ARM architectures, file e0c31c08-803a-4599-e053-1705fe0aef77
|
264
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A prediction-based approach for features aggregation in Visual Sensor Networks, file e0c31c0c-b564-4599-e053-1705fe0aef77
|
247
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|
Bamboo: A fast descriptor based on AsymMetric pairwise BOOsting, file e0c31c08-879f-4599-e053-1705fe0aef77
|
246
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|
Game theoretic approach for cooperative feature extraction in camera networks, file e0c31c09-d6f9-4599-e053-1705fe0aef77
|
238
|
|
Stochastic characterization of the spectrum sharing game in ad-hoc networks, file e0c31c08-8946-4599-e053-1705fe0aef77
|
233
|
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Algorithms to Find Two-Hop Routing Policies in Multiclass Delay Tolerant Networks, file e0c31c0a-1edb-4599-e053-1705fe0aef77
|
232
|
|
Hybrid coding of visual content and local image features, file e0c31c09-3d25-4599-e053-1705fe0aef77
|
227
|
|
Distributed object recognition in Visual Sensor Networks, file e0c31c08-8716-4599-e053-1705fe0aef77
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221
|
|
Making the case for a real-time market of wireless resources with dynamic network slicing and sharing, file e0c31c0c-753d-4599-e053-1705fe0aef77
|
221
|
|
Enabling visual analysis in wireless sensor networks, file e0c31c08-83af-4599-e053-1705fe0aef77
|
217
|
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Coding binary local features extracted from video sequences, file e0c31c08-87a0-4599-e053-1705fe0aef77
|
213
|
|
Rate-energy-accuracy optimization of convolutional architectures for face recognition, file e0c31c09-d2af-4599-e053-1705fe0aef77
|
204
|
|
Demonstrating MQTT+: An advanced broker for data filtering, processing and aggregation, file e0c31c0c-e2d6-4599-e053-1705fe0aef77
|
204
|
|
Multi-view coding and routing of local features in Visual Sensor Networks, file e0c31c09-ceb7-4599-e053-1705fe0aef77
|
194
|
|
Optimal Content Placement in ICN Vehicular Networks, file e0c31c08-5280-4599-e053-1705fe0aef77
|
193
|
|
GreenEyes: Networked energy-aware visual analysis, file e0c31c09-3c51-4599-e053-1705fe0aef77
|
193
|
|
A greedy approach for resource allocation in Virtual Sensor Networks, file e0c31c0b-00df-4599-e053-1705fe0aef77
|
189
|
|
A Survey of Anticipatory Mobile Networking: Context-Based Classification, Prediction Methodologies, and Optimization Techniques, file e0c31c0c-129a-4599-e053-1705fe0aef77
|
180
|
|
A Mathematical Programming Approach to Task Offloading in Visual Sensor Networks, file e0c31c08-8660-4599-e053-1705fe0aef77
|
179
|
|
Multi-view coding of local features in visual sensor networks, file e0c31c08-815f-4599-e053-1705fe0aef77
|
172
|
|
Road-side units operators in competition: A game-theoretical approach, file e0c31c08-865a-4599-e053-1705fe0aef77
|
165
|
|
Load balancing and performance optimization in wM-Bus smart meter networks, file e0c31c0c-4f2b-4599-e053-1705fe0aef77
|
161
|
|
Pairing Wi-Fi and Bluetooth MAC addresses through passive packet capture, file e0c31c0c-7778-4599-e053-1705fe0aef77
|
161
|
|
MQTT+: Enhanced syntax and broker functionalities for data filtering, processing and aggregation, file e0c31c0c-dbaa-4599-e053-1705fe0aef77
|
159
|
|
Energy-aware dynamic resource allocation in virtual sensor networks, file e0c31c0c-4cb8-4599-e053-1705fe0aef77
|
155
|
|
Coding Local and Global Binary Visual Features Extracted from Video Sequences, file e0c31c08-8658-4599-e053-1705fe0aef77
|
149
|
|
On stability and maximum throughput of exponential backoff mechanisms with two users, file e0c31c08-8344-4599-e053-1705fe0aef77
|
141
|
|
Fast keypoint detection in video sequences, file e0c31c09-d6f7-4599-e053-1705fe0aef77
|
107
|
|
An implementation for dynamic application allocation in shared sensor networks, file e0c31c0c-f84b-4599-e053-1705fe0aef77
|
96
|
|
Cooperative features extraction in Visual Sensor Networks: A game-theoretic approach, file e0c31c09-374c-4599-e053-1705fe0aef77
|
76
|
|
A non-cooperative game approach for RAN and spectrum sharing in mobile radio networks, file e0c31c09-e279-4599-e053-1705fe0aef77
|
66
|
|
Modeling the Techno-Economic Interactions of Infrastructure and Service Providers in 5G Networks with a Multi-Leader-Follower Game, file e0c31c0f-f990-4599-e053-1705fe0aef77
|
63
|
|
Adaptive Quality of Service Control for MQTT-SN, file 335f970a-9664-4580-bc6e-c931687b10c9
|
54
|
|
Cooperative image analysis in visual sensor networks, file e0c31c0e-4c25-4599-e053-1705fe0aef77
|
47
|
|
Joint Application Admission Control and Network Slicing in Virtual Sensor Networks, file e0c31c11-9aa7-4599-e053-1705fe0aef77
|
47
|
|
On Optimal Infrastructure Sharing Strategies in Mobile Radio Networks, file e0c31c12-6b38-4599-e053-1705fe0aef77
|
44
|
|
Polaris (Base 5G), file 807935ba-e206-4355-9730-de3fd4e2d34d
|
43
|
|
Designing smart product-service systems for smart cities with 5G technology: the Polaris case study, file 19f1ae38-1969-4b51-be29-b41a0d8d0fa6
|
37
|
|
Coding Visual Features Extracted From Video Sequences, file e0c31c0d-d573-4599-e053-1705fe0aef77
|
31
|
|
Feature-Sniffer: Enabling IoT Forensics in OpenWrt based Wi-Fi Access Points, file 5cda8958-333e-466b-84af-6f9d4ce7955e
|
26
|
|
Coding Local and Global Binary Visual Features Extracted from Video Sequences, file e0c31c12-a333-4599-e053-1705fe0aef77
|
22
|
|
A special issue of ad hoc networks on “Smart solutions for mobility supported distributed and embedded systems”, file e0c31c0d-cd1b-4599-e053-1705fe0aef77
|
20
|
|
Energy Consumption Of Visual Sensor Networks: Impact Of Spatio--Temporal Coverage, file e0c31c0d-a93d-4599-e053-1705fe0aef77
|
19
|
|
A Survey of Anticipatory Mobile Networking: Context-Based Classification, Prediction Methodologies, and Optimization Techniques, file e0c31c12-9e75-4599-e053-1705fe0aef77
|
19
|
|
Special issue on models and algorithms for wireless mesh networks, file e0c31c0d-e763-4599-e053-1705fe0aef77
|
16
|
|
null, file 5a59ec7c-a2da-444b-a3f7-0888ca9fac4a
|
14
|
|
A Formal Proof of the Optimal Frame Setting for Dynamic-Frame Aloha With Known Population Size, file e0c31c0d-54d1-4599-e053-1705fe0aef77
|
13
|
|
Analysis of Unslotted IEEE 802.15.4 Networks with Heterogeneous Traffic Classes, file e0c31c11-ac49-4599-e053-1705fe0aef77
|
13
|
|
Augmenting lorawan performance with listen before talk, file e0c31c0d-eaf0-4599-e053-1705fe0aef77
|
6
|
|
Analysis of Unslotted IEEE 802.15.4 Networks with Heterogeneous Traffic Classes, file e0c31c0d-a9ff-4599-e053-1705fe0aef77
|
5
|
|
Joint Application Admission Control and Network Slicing in Virtual Sensor Networks, file e0c31c0c-1299-4599-e053-1705fe0aef77
|
4
|
|
Polaris @ Eccellenze Lombarde, file 73331c69-ba4d-46a1-8d0f-931648488e73
|
2
|
|
Designing a Forensic-Ready Wi-Fi Access Point for the Internet of Things, file 7dd22e42-e1a0-4e8a-a228-b9cb4244270c
|
2
|
|
Coding Visual Features Extracted From Video Sequences, file e0c31c08-20c6-4599-e053-1705fe0aef77
|
2
|
|
Special issue on models and algorithms for wireless mesh networks, file e0c31c08-214a-4599-e053-1705fe0aef77
|
2
|
|
A special issue of ad hoc networks on “Smart solutions for mobility supported distributed and embedded systems”, file e0c31c08-214b-4599-e053-1705fe0aef77
|
2
|
|
A Formal Proof of the Optimal Frame Setting for Dynamic-Frame Aloha With Known Population Size, file e0c31c08-214e-4599-e053-1705fe0aef77
|
2
|
|
Energy Consumption Of Visual Sensor Networks: Impact Of Spatio--Temporal Coverage, file e0c31c08-214f-4599-e053-1705fe0aef77
|
2
|
|
On Optimal Infrastructure Sharing Strategies in Mobile Radio Networks, file e0c31c0c-bb5a-4599-e053-1705fe0aef77
|
2
|
|
Cooperative Infrastructure and Spectrum Sharing in Heterogeneous Mobile Networks, file e0c31c0c-bb5c-4599-e053-1705fe0aef77
|
2
|
|
Walk this way! An IoT-based urban routing system for smart cities, file e0c31c0f-0774-4599-e053-1705fe0aef77
|
2
|
|
Polaris @ Eccellenze Lombarde, file 155fe554-7fbd-4bca-a89d-7aadf2dfbce5
|
1
|
|
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
|
|
A game theoretical study of access point association in wireless mesh networks, file e0c31c07-e8cb-4599-e053-1705fe0aef77
|
1
|
|
Low bitrate coding schemes for local image descriptors, file e0c31c08-0057-4599-e053-1705fe0aef77
|
1
|
|
Rate-accuracy optimization in visual wireless sensor networks, file e0c31c08-005a-4599-e053-1705fe0aef77
|
1
|
| Totale |
18.420 |