A novel adaptive routing and switching scheme for software-defined vehicular Networks (2019)
Presentation / Conference Contribution
Zhoa, L., Zhao, W., Gong, C., Al-Dubai, A., & Min, G. (2019, May). A novel adaptive routing and switching scheme for software-defined vehicular Networks. Presented at IEEE International Conference on Communications, Shanghai, China

Software-Defined Vehicular Networks (SDVNs) technology has been attracting significant attention as it can make Vehicular Ad Hoc Network (VANET) more efficient and intelligent. SDVN provides a flexible architecture which can decouple the network mana... Read More about A novel adaptive routing and switching scheme for software-defined vehicular Networks.

A temporal-information-based adaptive routing algorithm for software defined vehicular networks (2019)
Presentation / Conference Contribution
Zhao, L., Li, Z., Li, J., Al-Dubai, A., Min, G., & Zomaya, A. Y. (2019, May). A temporal-information-based adaptive routing algorithm for software defined vehicular networks. Presented at IEEE International Conference on Communications (ICC): Ad Hoc and Sensor Networks Symposium, Shanghai, China

In Software Defined Vehicular Networks (SDVNs), most existing studies of routing consider the vehicular network as a static graph and compute the flow table based on static information. However, a static graph could only contain partial network data.... Read More about A temporal-information-based adaptive routing algorithm for software defined vehicular networks.

Increasing Trust in Meta-Heuristics by Using MAP-Elites (2019)
Presentation / Conference Contribution
Urquhart, N., Guckert, M., & Powers, S. (2019, July). Increasing Trust in Meta-Heuristics by Using MAP-Elites. Presented at Genetic and Evolutionary Computation COnference, Prague, Czech Republic

Intelligent AI systems using approaches containing emergent elements often encounter acceptance problems. Results do not get sufficiently explained and the procedure itself can not be fully retraced because the flow of control is dependent on stochas... Read More about Increasing Trust in Meta-Heuristics by Using MAP-Elites.

Evolving robust policies for community energy system management (2019)
Presentation / Conference Contribution
Cardoso, R., Hart, E., & Pitt, J. (2019, July). Evolving robust policies for community energy system management. Presented at GECCO '19, Prague, Czech Republic

Community energy systems (CESs) are shared energy systems in which multiple communities generate and consume energy from renewable resources. At regular time intervals, each participating community decides whether to self-supply, store, trade, or sel... Read More about Evolving robust policies for community energy system management.

An Illumination Algorithm Approach to Solving the Micro-Depot Routing Problem (2019)
Presentation / Conference Contribution
Urquhart, N., Hoehl, S., & Hart, E. (2019, July). An Illumination Algorithm Approach to Solving the Micro-Depot Routing Problem. Presented at Genetic and Evolutionary Computation Conference (GECCO '19), Prague, Czech Republic

An increasing emphasis on reducing pollution and congestion in city centres combined with an increase in online shopping is changing the ways in which logistics companies address vehicle routing problems (VRP). We introduce the {\em micro-depot}-VRP,... Read More about An Illumination Algorithm Approach to Solving the Micro-Depot Routing Problem.

Identity and belonging for graduate apprenticeships in computing: the experience of first cohort degree apprentices in Scotland (2019)
Presentation / Conference Contribution
Taylor-Smith, E., Smith, S., & Smith, C. (2019, July). Identity and belonging for graduate apprenticeships in computing: the experience of first cohort degree apprentices in Scotland. Presented at Innovation and Technology in Computer Science Education (ITiCSE), Aberdeen

In September 2017, our university’s first graduate apprentices began degrees in Software Development, Cybersecurity, and Information Technology Management for Business. This study explores how apprentices experience their association with the univers... Read More about Identity and belonging for graduate apprenticeships in computing: the experience of first cohort degree apprentices in Scotland.

IoT Forensics: Amazon Echo as a Use Case (2019)
Journal Article
Li, S., Li, S., Choo, K.-K. R., Sun, Q., Buchanan, W. J., & Cao, J. (2019). IoT Forensics: Amazon Echo as a Use Case. IEEE Internet of Things Journal, 1-11. https://doi.org/10.1109/jiot.2019.2906946

Internet of Things (IoT) are increasingly common in our society, and can be found in civilian settings as well as sensitive applications such as battlefields and national security. Given the potential of these devices to be targeted by attackers, the... Read More about IoT Forensics: Amazon Echo as a Use Case.

SmartEdge: An end-to-end encryption framework for an edge-enabled smart city application. (2019)
Journal Article
Jan, M. A., Zhang, W., Usman, M., Tan, Z., Khan, F., & Luo, E. (2019). SmartEdge: An end-to-end encryption framework for an edge-enabled smart city application. Journal of Network and Computer Applications, 137, 1-10. https://doi.org/10.1016/j.jnca.2019.02.023

The Internet of Things (IoT) has the potential to transform communities around the globe into smart cities. The massive deployment of sensor-embedded devices in the smart cities generates voluminous amounts of data that need to be stored and processe... Read More about SmartEdge: An end-to-end encryption framework for an edge-enabled smart city application..