Communicating Connected Components: Extending Plug-and-Play to Support Skeletons (2017)
Presentation / Conference Contribution
Chalmers, K., Kerridge, J., & Pedersen, J. B. (2016, August). Communicating Connected Components: Extending Plug-and-Play to Support Skeletons. Presented at Communicating Process Architectures 2016, Copenhagen, Denmark

For a number of years, the Communicating Process Architecture (CPA) community have developed languages and runtimes supporting message passing concurrency. For these we always provide a set of reusable processes called plug and play. These components... Read More about Communicating Connected Components: Extending Plug-and-Play to Support Skeletons.

Estimating 3D trajectories from 2D projections via disjunctive factored four-way conditional restricted Boltzmann machines (2017)
Journal Article
Mocanu, D. C., Bou Ammar, H., Puig, L., Eaton, E., & Liotta, A. (2017). Estimating 3D trajectories from 2D projections via disjunctive factored four-way conditional restricted Boltzmann machines. Pattern Recognition, 69, 325-335. https://doi.org/10.1016/j.patcog.2017.04.017

Estimation, recognition, and near-future prediction of 3D trajectories based on their two dimensional projections available from one camera source is an exceptionally difficult problem due to uncertainty in the trajectories and environment, high dime... Read More about Estimating 3D trajectories from 2D projections via disjunctive factored four-way conditional restricted Boltzmann machines.

Grid Routing: An Energy-Efficient Routing Protocol for WSNs with Single Mobile Sink (2017)
Journal Article
Liu, Q., Zhang, K., Liu, X., & Linge, N. (2017). Grid Routing: An Energy-Efficient Routing Protocol for WSNs with Single Mobile Sink. International Journal of Sensor Networks, 25(2), 1. https://doi.org/10.1504/ijsnet.2017.10007397

In a traditional wireless sensor network with static sinks, sensor nodes close to the sink run out of their batteries quicker than other nodes due to the increased data traffic towards the sink. These nodes with huge data traffic are easy to become... Read More about Grid Routing: An Energy-Efficient Routing Protocol for WSNs with Single Mobile Sink.

VANET aided D2D Discovery: Delay Analysis and Performance (2017)
Journal Article
Chour, H., Nasser, Y., Artail, H., Kachouh, A., & Al-Dubai, A. (2017). VANET aided D2D Discovery: Delay Analysis and Performance. IEEE Transactions on Vehicular Technology, 66(9), 8059-8071. https://doi.org/10.1109/TVT.2017.2690238

The proposed solutions in the literature for integrating Device-to-Device (D2D) communication in cellular networks require added functionalities and consume valuable network resources, mainly in the discovery process. Unlike existing solutions, this... Read More about VANET aided D2D Discovery: Delay Analysis and Performance.

Wireless Body Area Network (WBAN): A Survey on Reliability, Fault Tolerance, and Technologies Coexistence (2017)
Journal Article
Salayma, M., Al-Dubai, A., Romdhani, I., & Nasser, Y. (2017). Wireless Body Area Network (WBAN): A Survey on Reliability, Fault Tolerance, and Technologies Coexistence. ACM computing surveys, 50(1), Article 3. https://doi.org/10.1145/3041956

Wireless Body Area Network (WBAN) has been a key element in e-health to monitor bodies. This technology enables new applications under the umbrella of different domains, including the medical field, the entertainment and ambient intelligence areas. T... Read More about Wireless Body Area Network (WBAN): A Survey on Reliability, Fault Tolerance, and Technologies Coexistence.

Simultaneous Bayesian Clustering and Feature Selection Through Student’s ${t}$ Mixtures Model (2017)
Journal Article
Sun, J., Zhou, A., Keates, S., & Liao, S. (2018). Simultaneous Bayesian Clustering and Feature Selection Through Student’s ${t}$ Mixtures Model. IEEE Transactions on Neural Networks and Learning Systems, 29(4), 1187-1199. https://doi.org/10.1109/tnnls.2016.2619061

In this paper, we proposed a generative model for feature selection under the unsupervised learning context. The model assumes that data are independently and identically sampled from a finite mixture of Student?s t distributions, which can reduce th... Read More about Simultaneous Bayesian Clustering and Feature Selection Through Student’s ${t}$ Mixtures Model.

Securing the Internet of Things (2017)
Book
Romdhani, I. (2017). S. Li, & L. Da Xu (Eds.), Securing the Internet of Things. Elsevier

Key Features

Helps researchers and practitioners understand the security architecture in IoT and the state-of-the-art in IoT security countermeasures
Explores how the threats in IoT are different from traditional ad hoc or infrastructural network... Read More about Securing the Internet of Things.

BEFTIGRE: Behaviour-driven full-tier green evaluation of mobile cloud applications (2017)
Journal Article
Chinenyeze, S. J., Liu, X., & Al-Dubai, A. (2017). BEFTIGRE: Behaviour-driven full-tier green evaluation of mobile cloud applications. Journal of Software: Evolution and Process, 29(2), e1848. https://doi.org/10.1002/smr.1848

With the resource-constrained nature of mobile devices and the resource-abundant offerings of the cloud, several promising optimisation techniques have been proposed by the green computing research community. Prominent techniques and unique methods h... Read More about BEFTIGRE: Behaviour-driven full-tier green evaluation of mobile cloud applications.

An investigation of environmental influence on the benefits of adaptation mechanisms in evolutionary swarm robotics (2017)
Presentation / Conference Contribution
Steyven, A., Hart, E., & Paechter, B. (2017, July). An investigation of environmental influence on the benefits of adaptation mechanisms in evolutionary swarm robotics. Presented at Genetic and Evolutionary Computation Conference - GECCO '17

A robotic swarm that is required to operate for long periods in a potentially unknown environment can use both evolution and individual learning methods in order to adapt. However, the role played by the environment in influencing the effectiveness o... Read More about An investigation of environmental influence on the benefits of adaptation mechanisms in evolutionary swarm robotics.