David Palma researcher ORCID ID = 0000-0003-3931-0068
Palma, David Fonseca, 1986-
VIAF ID: 306471192 (Personal)
Permalink: http://viaf.org/viaf/306471192
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Works
| Title | Sources |
|---|---|
| Challenging Wireless Networks, an Underground Experience |
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| CityFlow, enabling quality of service in the Internet: Opportunities, challenges, and experimentation |
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| CityFlow: OpenFlow City Experiment -- Linking Infrastructure and Applications |
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| The Cost of Using IEEE 802.16d Dynamic Channel Configuration |
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| Cruising the marginal ice zone: climate change and Arctic tourism |
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| Edge caching with mobility prediction in virtualized LTE mobile networks |
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| Enabling a Mobility Prediction-Aware Follow-Me Cloud Model |
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| Enabling the Maritime Internet of Things: CoAP and 6LoWPAN Performance Over VHF Links |
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| Fog Computing in Healthcare–A Review and Discussion |
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| Freely Drifting Small-Satellite Swarms for Sensor Networks in the Arctic |
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| Impact analysis of hierarchical transitions in multi-hop clustered networks |
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| Implementing Quality of Service for the Software Defined Networking Enabled Future Internet |
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| Inside-Out OLSR Scalability Analysis |
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| Link quality estimation in wireless multi-hop networks using Kernel based methods |
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| Monitoring as a service for cloud environments |
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| Next-Generation Communication Systems for PPDR: the SALUS Perspective |
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| NODRoP, Nature Optimized Deferred Routing Protocol |
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| A novel stable and low-maintenance clustering scheme |
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| Onto scalable Ad-hoc networks: Deferred Routing |
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| The QueuePusher: Enabling Queue Management in OpenFlow |
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| Scalability and routing performance of future autonomous networks |
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| Solar energy prediction for constrained IoT nodes based on public weather forecasts |
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| Survey on Communication and Networks for Autonomous Marine Systems |
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| Towards a High Performance DNSaaS Deployment |
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| Towards scalable routing for wireless multi-hop networks |
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| Tutamen: An Integrated Personal Mobile and Adaptable Video Platform for Health and Protection |
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| Unmanned Aerial Vehicles as Data Mules: An Experimental Assessment |
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