Outputs (31)

Load Balancing Objective Function in RPL (Draft 2) (2017)
Report
Qasem, M., Al-Dubai, A., Romdhani, I., Ghaleb, B., Hou, J., & Jadhav, R. A. (2017). Load Balancing Objective Function in RPL (Draft 2). USA: IETF

This document proposes an extended Objective Function(OF) that balances the number of child nodes of the parent nodes to avoid the overloading problem and ensure node lifetime maximization in the IPv6 Routing Protocol for Low-Power and Lossy Ne... Read More about Load Balancing Objective Function in RPL (Draft 2).

Drizzle: Adaptive and fair route maintenance algorithm for Low-power and Lossy Networks in IoT (2017)
Presentation / Conference Contribution
Ghaleb, B., Al-Dubai, A., Romdhani, I., Nasser, Y., & Boukerche, A. (2017). Drizzle: Adaptive and fair route maintenance algorithm for Low-power and Lossy Networks in IoT. In 2017 IEEE International Conference on Communications (ICC) (1-6). https://doi.o

Low-power and Lossy Networks (LLNs) have been a key component in the Internet of Things (IoT) paradigm. Recently, a standardized algorithm, namely Trickle algorithm, is adopted for routing information maintenance in such networks. This algorithm is o... Read More about Drizzle: Adaptive and fair route maintenance algorithm for Low-power and Lossy Networks in IoT.

A new enhanced RPL based routing for Internet of Things (2017)
Presentation / Conference Contribution
Ghaleb, B., Al-Dubai, A., Ekonomou, E., & Wadhaj, I. (2017, June). A new enhanced RPL based routing for Internet of Things. Presented at 2017 IEEE International Conference on Communications Workshops (ICC Workshops)

The IPv6 Routing Protocol for Low-power and Lossy Networks (RPL) has been recently standardized for routing in the constrained Internet of Things networks. Unfortunately, the RPL storing mode has been found restricted by storage limitations in the ro... Read More about A new enhanced RPL based routing for Internet of Things.

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. (2017). STF-RNN: Space Time Features-based Recurrent Neural Network for predicting people next location. In 2016 IEEE Symposium Series on Computational Intelligence (SSCI). https://doi.org/10.1109/ssci.2016.784991

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). A new dynamic trickle algorithm for low power and lossy networks. In 2016 International Conference on Engineering & MIS (ICEMIS). https://doi.org/10.1109/icemis.2016.7745314

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 Communi

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.