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MILENA RADENKOVIC's Outputs (35)

Deep learning solver unites SDGSAT-1 observations and Navier–Stokes theory for oceanic vortex streets (2024)
Journal Article
Gao, H., Huang, B., Chen, G., Xia, L., & Radenkovic, M. (2024). Deep learning solver unites SDGSAT-1 observations and Navier–Stokes theory for oceanic vortex streets. Remote Sensing of Environment, 315, Article 114425. https://doi.org/10.1016/j.rse.2024.114425

The world’s first scientific satellite for sustainable development goals (SDGSAT-1) provides valuable data about offshore small-scale ocean phenomena, including the Kármán vortex street phenomenon. Although the simulation of the oce... Read More about Deep learning solver unites SDGSAT-1 observations and Navier–Stokes theory for oceanic vortex streets.

Intelligent Sparse2Dense Profile Reconstruction for Predicting Global Subsurface Chlorophyll Maxima (2024)
Journal Article
Yu, Y., Huang, B., Radenkovic, M., Wang, T., & Chen, G. (2024). Intelligent Sparse2Dense Profile Reconstruction for Predicting Global Subsurface Chlorophyll Maxima. IEEE Transactions on Geoscience and Remote Sensing, 1-1. https://doi.org/10.1109/tgrs.2024.3464850

Subsurface chlorophyll maximum (SCM) is a crucial ecological indicator for marine ecosystems. Previous studies have indicated that this phenomenon is globally widespread. Although the biogeochemical argo assimilation results have yielded positive res... Read More about Intelligent Sparse2Dense Profile Reconstruction for Predicting Global Subsurface Chlorophyll Maxima.

ARU2-Net: A Deep Learning Approach for Global-Scale Oceanic Eddy Detection (2024)
Journal Article
Geng, J., Gao, H., Huang, B., Radenkovic, M., & Chen, G. (2024). ARU2-Net: A Deep Learning Approach for Global-Scale Oceanic Eddy Detection. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 17, 11997-12007. https://doi.org/10.1109/jstars.2024.3419175

Ocean eddies have a significant impact on marine ecosystems and the climate because they transport essential substances in the ocean. Detection of ocean eddies has become one of the most active topics in physical ocean research. In recent years, rese... Read More about ARU2-Net: A Deep Learning Approach for Global-Scale Oceanic Eddy Detection.

Global oceanic mesoscale eddies trajectories prediction with knowledge-fused neural network (2024)
Journal Article
Zhang, X., Huang, B., Chen, G., Ge, L., Radenkovic, M., & Hou, G. (2024). Global oceanic mesoscale eddies trajectories prediction with knowledge-fused neural network. IEEE Transactions on Geoscience and Remote Sensing, 62, Article 4205214. https://doi.org/10.1109/tgrs.2024.3388040

Efficient eddy trajectory prediction driven by multiinformation fusion can facilitate the scientific research of oceanography, while the complicated dynamics mechanism makes this issue challenging. Benefiting from ocean observing technology, the eddy... Read More about Global oceanic mesoscale eddies trajectories prediction with knowledge-fused neural network.

Instant deep sea debris detection for maneuverable underwater machines to build sustainable ocean using deep neural network (2023)
Journal Article
Huang, B., Chen, G., Zhang, H., Hou, G., & Radenkovic, M. (2023). Instant deep sea debris detection for maneuverable underwater machines to build sustainable ocean using deep neural network. Science of the Total Environment, 878, Article 162826. https://doi.org/10.1016/j.scitotenv.2023.162826

Deep sea debris is any persistent man-made material that ends up in the deep sea. The scale and rapidly increasing amount of sea debris are endangering the health of the ocean. So, many marine communities are struggling for the objective of a clean,... Read More about Instant deep sea debris detection for maneuverable underwater machines to build sustainable ocean using deep neural network.

Oceanic Eddy Identification Using Pyramid Split Attention U-Net With Remote Sensing Imagery (2023)
Journal Article
Zhao, N., Huang, B., Yang, J., Radenkovic, M., & Chen, G. (2023). Oceanic Eddy Identification Using Pyramid Split Attention U-Net With Remote Sensing Imagery. IEEE Geoscience and Remote Sensing Letters, 20, Article 1500605. https://doi.org/10.1109/lgrs.2023.3243902

Oceanic eddy is the ubiquitous ocean flow phenomenon, which has been the key factor in the transportation of ocean energy and materials. Consequently, oceanographic understanding can be enhanced by the intelligent identification of eddy. State-of-the... Read More about Oceanic Eddy Identification Using Pyramid Split Attention U-Net With Remote Sensing Imagery.

Resistance to Cybersecurity Attacks in a Novel Network for Autonomous Vehicles (2022)
Data
Brocklehurst, C., & Radenkovic, M. (2022). Resistance to Cybersecurity Attacks in a Novel Network for Autonomous Vehicles. [Dataset]. https://doi.org/10.3390/jsan11030035

The increased interest in autonomous vehicles has led to the development of novel networking protocols in VANETs In such a widespread safety-critical application, security is paramount to the implementation of the networks. We view new autonomous veh... Read More about Resistance to Cybersecurity Attacks in a Novel Network for Autonomous Vehicles.

Resistance to Cybersecurity Attacks in a Novel Network for Autonomous Vehicles (2022)
Journal Article
Brocklehurst, C., & Radenkovic, M. (2022). Resistance to Cybersecurity Attacks in a Novel Network for Autonomous Vehicles. Journal of Sensor and Actuator Networks, 11(3), Article 35. https://doi.org/10.3390/jsan11030035

The increased interest in autonomous vehicles has led to the development of novel networking protocols in VANETS. In such a widespread safety critical application, security is paramount to the implementation of the networks. We view new autonomous ve... Read More about Resistance to Cybersecurity Attacks in a Novel Network for Autonomous Vehicles.

Interdependent Multi-layer Spatial Temporal-based Caching in Heterogeneous Mobile Edge and Fog Networks (2019)
Presentation / Conference Contribution
Huynh, V. S. H., & Radenkovic, M. (2019). Interdependent Multi-layer Spatial Temporal-based Caching in Heterogeneous Mobile Edge and Fog Networks. In Proceedings of the 9th International Conference on Pervasive and Embedded Computing and Communication Systems (34-45). https://doi.org/10.5220/0008167900340045

Applications and services hosted in the mobile edge/fog networks today (e.g., augmented reality, self-driving, and various cognitive applications) may suffer from limited network coverage and localized congestion due to dynamic mobility of users and... Read More about Interdependent Multi-layer Spatial Temporal-based Caching in Heterogeneous Mobile Edge and Fog Networks.

Contextual Dishonest Behaviour Detection for Cognitive Adaptive Charging in Dynamic Smart Micro-Grids (2019)
Presentation / Conference Contribution
Radenkovic, M., & Walker, A. (2019). Contextual Dishonest Behaviour Detection for Cognitive Adaptive Charging in Dynamic Smart Micro-Grids. In Proceedings on 2019 15th Annual Conference on Wireless On-demand Network Systems and Services (WONS) (44-51). https://doi.org/10.23919/WONS.2019.8795461

The emerging Smart Grid (SG) paradigm promises to address decreasing grid stability from thinning safe operating margins, meet continually rising demand from pervasive high capacity devices such as electric vehicles (EVs), and fully embrace the shift... Read More about Contextual Dishonest Behaviour Detection for Cognitive Adaptive Charging in Dynamic Smart Micro-Grids.

Exploring user behavioral data for adaptive cybersecurity (2019)
Journal Article
Addae, J. H., Sun, X., Towey, D., & Radenkovic, M. (2019). Exploring user behavioral data for adaptive cybersecurity. User Modeling and User-Adapted Interaction, 29(3), 701-750. https://doi.org/10.1007/s11257-019-09236-5

This paper describes an exploratory investigation into the feasibility of predictive analytics of user behavioral data as a possible aid in developing effective user models for adaptive cybersecurity. Partial least squares structural equation modelin... Read More about Exploring user behavioral data for adaptive cybersecurity.

Towards Better Understanding the Challenges of Reliable and Trust-Aware Critical Communications in the Aftermath of Disaster (2018)
Presentation / Conference Contribution
Radenkovic, M., Walker, A., & Bai, L. (2018). Towards Better Understanding the Challenges of Reliable and Trust-Aware Critical Communications in the Aftermath of Disaster. In IWCMC 2018: the 14th International Wireless Communications & Mobile Computing Conference (648-653). https://doi.org/10.1109/IWCMC.2018.8450430

This paper seeks to better understand the highly multi-dimensional, multi-faceted challenges of meeting trust and reliability requirements in critical, disaster aftermath communication networks comprising heterogeneous groups of sensor equipped nodes... Read More about Towards Better Understanding the Challenges of Reliable and Trust-Aware Critical Communications in the Aftermath of Disaster.

CognitiveCharge: disconnection tolerant adaptive collaborative and predictive vehicular charging (2018)
Presentation / Conference Contribution
Radenkovic, M., & Walker, A. (2018). CognitiveCharge: disconnection tolerant adaptive collaborative and predictive vehicular charging.

Electric vehicles (EVs) are rapidly becoming more common and ownership is set to rise globally in coming years. The potential impacts of increased EVs on the electrical grid have been widely investigated and in its current state, existing grid infras... Read More about CognitiveCharge: disconnection tolerant adaptive collaborative and predictive vehicular charging.

Understanding information centric layer of adaptive collaborative caching framework in mobile disconnection-prone networks (2018)
Presentation / Conference Contribution
Huynh, V. S. H., Radenkovic, M., & John, R. (2018). Understanding information centric layer of adaptive collaborative caching framework in mobile disconnection-prone networks.

Smart networks and services leverage in-network caching to improve transmission efficiency and support large amount of content sharing, decrease high operating costs and handle disconnections. In this paper, we investigate the complex challenges rela... Read More about Understanding information centric layer of adaptive collaborative caching framework in mobile disconnection-prone networks.

Understanding complementary multi-layer collaborative heuristics for adaptive caching in heterogeneous mobile opportunistic networks (2018)
Presentation / Conference Contribution
Huynh, V. S. H., & Radenkovic, M. (2018). Understanding complementary multi-layer collaborative heuristics for adaptive caching in heterogeneous mobile opportunistic networks.

Current research aims to deal with emerging challenges of the opportunistic discovery of content stored in remote mobile publishers and the delivery to the subscribers in heterogeneous mobile opportunistic networks. Innovative network and service arc... Read More about Understanding complementary multi-layer collaborative heuristics for adaptive caching in heterogeneous mobile opportunistic networks.

Adaptive Real-Time Predictive Collaborative Content Discovery and Retrieval in Mobile Disconnection Prone Networks (2018)
Journal Article
Radenkovic, M., Huynh, . V. S. H., & Manzoni, P. (2018). Adaptive Real-Time Predictive Collaborative Content Discovery and Retrieval in Mobile Disconnection Prone Networks. IEEE Access, 6, 32188-32206. https://doi.org/10.1109/access.2018.2840040

Emerging mobile environments motivate the need for the development of new distributed technologies which are able to support dynamic peer to peer content sharing, decrease high operating costs, and handle intermittent disconnections. In this paper, w... Read More about Adaptive Real-Time Predictive Collaborative Content Discovery and Retrieval in Mobile Disconnection Prone Networks.

Integrating renewable energy resources into the smart grid: recent developments in information and communication technologies (2018)
Journal Article
Rehmani, M. H., Reisslein, M., Rachedi, A., Erol-Kantarci, M., & Radenkovic, M. (2018). Integrating renewable energy resources into the smart grid: recent developments in information and communication technologies. IEEE Transactions on Industrial Informatics, 14(7), 2814-2825. https://doi.org/10.1109/TII.2018.2819169

Rising energy costs, losses in the present-day electricity grid, risks from nuclear power generation, and global environmental changes are motivating a transformation of the conventional ways of generating electricity. Globally, there is a desire to... Read More about Integrating renewable energy resources into the smart grid: recent developments in information and communication technologies.

Collaborative cognitive content dissemination and query in heterogeneous mobile opportunistic networks (2017)
Presentation / Conference Contribution
Radenkovic, M., & Huynh, V. S. H. (2017). Collaborative cognitive content dissemination and query in heterogeneous mobile opportunistic networks.

This paper investigates complex challenges of opportunistic discovery of content stored in remote mobile devices and delivery to the requesting nodes in heterogeneous mobile disconnection prone environments. We propose new latency aware collaborative... Read More about Collaborative cognitive content dissemination and query in heterogeneous mobile opportunistic networks.

A novel cross-layer framework for large scale emergency communications (2017)
Presentation / Conference Contribution
Huynh, V. S. H., & Radenkovic, M. (2017). A novel cross-layer framework for large scale emergency communications. In 2017 13th International Wireless Communications and Mobile Computing Conference (IWCMC) (2152-2157). https://doi.org/10.1109/IWCMC.2017.7986616

This paper explores the problem of improving coverage and capacity of large-scale communication networks in disaster-struck areas. We propose a novel integrated dynamic cross-layer distributed energy aware emergency framework, E3F, that spans large g... Read More about A novel cross-layer framework for large scale emergency communications.

GPSR-TARS: congestion aware geographically targeted remote surveillance for VANETs (2017)
Presentation / Conference Contribution
Walker, A., & Radenkovic, M. (2017). GPSR-TARS: congestion aware geographically targeted remote surveillance for VANETs.

Video over vehicular networks continues to receive warranted attention, with envisioned applications having the potential to present entirely new opportunities and revolutionise existing services. Many video systems have been proposed, ranging from s... Read More about GPSR-TARS: congestion aware geographically targeted remote surveillance for VANETs.

Low-cost mobile personal clouds (2016)
Presentation / Conference Contribution
Radenkovic, M., & Huynh, V. S. H. (2016). Low-cost mobile personal clouds. . https://doi.org/10.1109/IWCMC.2016.7577166

We propose a mobile peer to peer personal cloud architecture which allows users to capture, store, analyse, interact with and share different types of personal and context data with no privacy leakage. Our mobile personal cloud can host multiple diff... Read More about Low-cost mobile personal clouds.

Towards low cost prototyping of mobile opportunistic disconnection tolerant networks and systems (2016)
Journal Article
Radenkovic, M., Crowcroft, J., & Rehmani, M. H. (2016). Towards low cost prototyping of mobile opportunistic disconnection tolerant networks and systems. IEEE Access, 4, 5309-5321. https://doi.org/10.1109/ACCESS.2016.2606501

Fast emerging mobile edge computing, mobile clouds, Internet of Things (IoT) and cyber physical systems require many novel realistic real time multi-layer algorithms for a wide range of domains, such as intelligent content provision and processing, s... Read More about Towards low cost prototyping of mobile opportunistic disconnection tolerant networks and systems.

Cognitive privacy for personal clouds (2016)
Journal Article
Radenkovic, M. (2016). Cognitive privacy for personal clouds. Mobile Information Systems, 2016, 1-17. https://doi.org/10.1155/2016/7107103

This paper proposes a novel Cognitive Privacy (CogPriv) framework that improves privacy of data sharing between Personal Clouds for different application types and across heterogeneous networks. Depending on the behaviour of neighbouring network node... Read More about Cognitive privacy for personal clouds.

Increasing communication reliability in manufacturing environments (2015)
Presentation / Conference Contribution
Radenkovic, M., Kostadinov, I., & Wietrzyk, B. (2015). Increasing communication reliability in manufacturing environments. In 2015 International Wireless Communications and Mobile Computing Conference (IWCMC). https://doi.org/10.1109/IWCMC.2015.7289283

This paper is concerned with low cost mechanisms that can increase reliability of machine to machine and machine to cloud communications in increasingly complex manufacturing environments that are prone to disconnections and faults. We propose a nove... Read More about Increasing communication reliability in manufacturing environments.

Social delay tolerant approach for safety services in vehicular networks (2015)
Presentation / Conference Contribution
Nguyen-Minh, H., Benslimane, A., & Radenkovic, M. (2015). Social delay tolerant approach for safety services in vehicular networks. In 2015 International Wireless Communications and Mobile Computing Conference (IWCMC). https://doi.org/10.1109/IWCMC.2015.7289253

Vehicular networks have attracted attention for recent years due to their various and emerging applications supporting secure and convenient driving. Regarding specific features of vehicular networks, we propose a new Social-aware Vehicular DTN proto... Read More about Social delay tolerant approach for safety services in vehicular networks.

A feasibility study of an in-the-wild experimental public access WiFi network (2014)
Presentation / Conference Contribution
Sathiaseelan, A., Mortier, R., Goulden, M., Greiffenhagen, C., Radenkovic, M., Crowcroft, J., & McAuley, D. (2014). A feasibility study of an in-the-wild experimental public access WiFi network. In Proceedings of the Fifth ACM Symposium on Computing for Development - ACM DEV-5 '14 (33-42). https://doi.org/10.1145/2674377.2674383

© 2014 ACM. Universal Internet access has become critical to modern life, leading to many explorations of approaches to increase its availability. In this paper we report on a study of one such approach, PAWS, that seeks to understand the technical a... Read More about A feasibility study of an in-the-wild experimental public access WiFi network.

Reputation aware obfuscation for mobile opportunistic networks (2013)
Journal Article
Radenkovic, M., Benslimane, A., & McAuley, D. (2015). Reputation aware obfuscation for mobile opportunistic networks. IEEE Transactions on Parallel and Distributed Systems, 26(1), 230-240. https://doi.org/10.1109/TPDS.2013.265

© 2013 IEEE. Current anonymity techniques for mobile opportunistic networks typically use obfuscation algorithms to hide node's identity behind other nodes. These algorithms are not well suited to sparse and disconnection prone networks with large nu... Read More about Reputation aware obfuscation for mobile opportunistic networks.

Flexible and dynamic network coding for adaptive data transmission in DTNs (2012)
Presentation / Conference Contribution
Radenkovic, M., Zakhary, S., Radenkovic, M., & Zakhary, S. (2012). Flexible and dynamic network coding for adaptive data transmission in DTNs. In Wireless Communications and Mobile Computing Conference (IWCMC), 8th International (567--573). https://doi.org/10.1109/IWCMC.2012.6314266

Existing network coding approaches for Delay-Tolerant Networks (DTNs) do not detect and adapt to congestion in the network. In this paper we describe CafNC (Congestion aware forwarding with Network Coding) that combines adaptive network coding and a... Read More about Flexible and dynamic network coding for adaptive data transmission in DTNs.

Efficient and adaptive congestion control for heterogeneous delay-tolerant networks (2012)
Journal Article
Radenkovic, M., & Grundy, A. (2012). Efficient and adaptive congestion control for heterogeneous delay-tolerant networks. Ad Hoc Networks, 10(7), https://doi.org/10.1016/j.adhoc.2012.03.013

Detecting and dealing with congestion in delay-tolerant networks (DTNs) is an important and challenging problem. Current DTN forwarding algorithms typically direct traffic towards more central nodes in order to maximise delivery ratios and minimise d... Read More about Efficient and adaptive congestion control for heterogeneous delay-tolerant networks.

Congestion aware forwarding in delay tolerant and social opportunistic networks (2011)
Presentation / Conference Contribution
Radenkovic, M., & Grundy, A. (2011). Congestion aware forwarding in delay tolerant and social opportunistic networks. In 2011 Eighth International Conference on Wireless On-Demand Network Systems and Services. https://doi.org/10.1109/WONS.2011.5720201

We propose an approach for opportunistic forwarding that supports optimization of multipoint high volume data flow transfer while maintaining high buffer availability and low delays. This paper explores a number of social, buffer and delay heuristics... Read More about Congestion aware forwarding in delay tolerant and social opportunistic networks.

Reputation-based security protocol for MANETs in highly mobile disconnection-prone environments (2010)
Presentation / Conference Contribution
Radenkovic, M., Zakhary, S. R., & Radenkovic, M. (2010). Reputation-based security protocol for MANETs in highly mobile disconnection-prone environments. In 2010 Seventh International Conference on Wireless On-demand Network Systems and Services (WONS) (161--167). https://doi.org/10.1109/WONS.2010.5437117

This paper is concerned with fully distributed reputation-based mechanisms that improve security in MANETS. We introduce a number of optimisations to the current reputation schemes used in MANETs such as selective deviation tests and adaptive expirat... Read More about Reputation-based security protocol for MANETs in highly mobile disconnection-prone environments.

Enabling rapid and cost-effective creation of massive pervasive games in very unstable environments (2007)
Presentation / Conference Contribution
Wietrzyk, B., & Radenkovic, M. Enabling rapid and cost-effective creation of massive pervasive games in very unstable environments. Presented at 2007 Fourth Annual Conference on Wireless on Demand Network Systems and Services

Pervasive gaming is a new form of multimedia entertainment that extends the traditional computer gaming experience out into the real world. Through a combination of personal devices, positioning systems and other sensors, combined with wireless netwo... Read More about Enabling rapid and cost-effective creation of massive pervasive games in very unstable environments.

Wireless mobile ad-hoc sensor networks for very large scale cattle monitoring (2006)
Presentation / Conference Contribution
Radenkovic, M., & Wietrzyk, B. Wireless mobile ad-hoc sensor networks for very large scale cattle monitoring. Presented at 6th International Workshop on Applications and Services in Wireless Networks (ASWN '06)

This paper investigates the use of wireless mobile ad hoc sensor networks in the nationwide cattle monitoring systems. This problem is essential for monitoring general animal health and detecting outbreaks of animal diseases that can... Read More about Wireless mobile ad-hoc sensor networks for very large scale cattle monitoring.

The multimedia challenges raised by pervasive games (2005)
Presentation / Conference Contribution
Capra, M., Radenkovic, M., Benford, S., Oppermann, L., Drozd, A., & Flintham, M. The multimedia challenges raised by pervasive games. Presented at 13th Annual ACM International Conference on Multimedia (MULTIMEDIA '05)

Pervasive gaming is a new form of multimedia entertainment that extends the traditional computer gaming experience out into the real world. Through a combination of personal devices, positioning systems and other multimedia sensors, combined with wir... Read More about The multimedia challenges raised by pervasive games.