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STF-RNN: Space Time Features-based Recurrent Neural Network for predicting people next location (2017)
Presentation / Conference Contribution
Al-Molegi, A., Jabreel, M., & Ghaleb, B. (2016, December). STF-RNN: Space Time Features-based Recurrent Neural Network for predicting people next location. Presented at 2016 IEEE Symposium Series on Computational Intelligence (SSCI), Athens, Greece

This paper proposes a novel model called Space Time Features-based Recurrent Neural Network (STF-RNN) for predicting people next movement based on mobility patterns obtained from GPS devices logs. Two main features are involved in model operations, n... Read More about STF-RNN: Space Time Features-based Recurrent Neural Network for predicting people next location.

A new efficient objective function for routing in Internet of Things paradigm (2016)
Presentation / Conference Contribution
Qasem, M., Al-Dubai, A., Romdhani, I., Ghaleb, B., & Gharibi, W. (2016, October). A new efficient objective function for routing in Internet of Things paradigm. Presented at 2016 IEEE Conference on Standards for Communications and Networking (CSCN)

Low Power and Lossy Networks (LLNs) have a crucial role in the Internet of Things (IoT) paradigm. For the IPv6 Routing Protocol for LLNs (RPL), two objective functions (OF) have been standardized so far, namely (Objective Function zero (OF0), and the... Read More about A new efficient objective function for routing in Internet of Things paradigm.

A new dynamic trickle algorithm for low power and lossy networks (2016)
Presentation / Conference Contribution
Yassein, M. B., Aljawarneh, S., Masa'deh, E., Ghaleb, B., & Masa'deh, R. (2016, September). A new dynamic trickle algorithm for low power and lossy networks. Presented at 2016 International Conference on Engineering & MIS (ICEMIS), Agadir, Morocco

The main component of Routing Protocol for Low Power and Lossy Networks (RPL) is the trickle timer algorithm. Such algorithm is used to control the flow of messages through the Internet of Things (IoT) network. However, the trickle algorithm is suffe... Read More about A new dynamic trickle algorithm for low power and lossy networks.

Trickle-Plus: Elastic Trickle algorithm for Low-power networks and Internet of Things (2016)
Presentation / Conference Contribution
Ghaleb, B., Al-Dubai, A., Ekonomou, E., Paechter, B., & Qasem, M. (2016, April). Trickle-Plus: Elastic Trickle algorithm for Low-power networks and Internet of Things. Presented at 2016 IEEE Wireless Communications and Networking Conference

Constrained Low-power and Lossy networks (LLNs) represent the building block for the ever-growing Internet of Things (IoT) that deploy the Routing Protocol for Low Power and Lossy networks (RPL) as a key routing standard. RPL, along with other routin... Read More about Trickle-Plus: Elastic Trickle algorithm for Low-power networks and Internet of Things.

Cooja Simulator Manual (2016)
Report
Thomson, C., Romdhani, I., Al-Dubai, A., Qasem, M., Ghaleb, B., & Wadhaj, I. (2016). Cooja Simulator Manual. Edinburgh: Edinburgh Napier University

While Cooja has been proven to be an ideal tool for the simulation of RPL in WSNs, there are challenges involved in its use, particularly in regard to a lack of documentation. The Contiki website provides an image of Instant Contiki which can then be... Read More about Cooja Simulator Manual.

E-Trickle: Enhanced Trickle Algorithm for Low-Power and Lossy Networks (2015)
Presentation / Conference Contribution
Ghaleb, B., Al-Dubai, A., & Ekonomou, E. (2015, October). E-Trickle: Enhanced Trickle Algorithm for Low-Power and Lossy Networks. Presented at IEEE 2015 IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications

Routing Protocol for Low Power and Lossy networks (RPL) is the de-facto standard for routing in resource-constrained low-power and lossy networks (LLNs) which represent the building block for the ever-growing Internet of Things (IoT). RPL along with... Read More about E-Trickle: Enhanced Trickle Algorithm for Low-Power and Lossy Networks.

A novel situation specific network security for Wireless Sensor Networks (2015)
Journal Article
Al-Rousan, M., Bani Yassein, M., Al-Dubai, A., Ghaleb, B., & Mahmoud, I. (2015). A novel situation specific network security for Wireless Sensor Networks. Sensors & transducers, 186(3), 33-42

Researchers have come up with many high level security protocols and key management algorithms that can be applied for different types of networks. The main characteristics of wireless sensor networks that are limited computation and power made it di... Read More about A novel situation specific network security for Wireless Sensor Networks.

Rotated Hybrid, Energy-Efficient and Distributed (R-HEED) Clustering Protocol in WSN (2014)
Journal Article
Mardini, W., Yassein, M. B., Khamayseh, Y., & Ghaleb, B. (2014). Rotated Hybrid, Energy-Efficient and Distributed (R-HEED) Clustering Protocol in WSN. WSEAS Transactions on Communications, 13, 275-290

Minimizing the energy consumption for data transmission is one of the most important design considerations in Wireless Sensor Networks (WSNs). The clustering approach is considered one of the most effective methods to prolong the network lifetime in... Read More about Rotated Hybrid, Energy-Efficient and Distributed (R-HEED) Clustering Protocol in WSN.

Building A Smart Academic Advising System Using Association Rule Mining
Preprint / Working Paper
Shatnawi, R., Althebyan, Q., & Ghaleb, B. (2014). Building A Smart Academic Advising System Using Association Rule Mining

In an academic environment, student advising is considered a paramount activity for both advisors and student to improve the academic performance of students. In universities of large numbers of students, advising is a time-consuming activity that ma... Read More about Building A Smart Academic Advising System Using Association Rule Mining.