Lab

Jafar Alzubi's Lab

Featured projects (1)

Project
1-Sharing & recommending publications. 2-Connecting with colleagues. 3-Seeking new collaborations. 4-Obtaining statistics and metrics on use of uploaded publications. 5-Asking questions of researchers around the world that have the same set of interests. 6-Job seeking or recruitment. 7- Journal Invitations (Editorial Board, Reviewer) 8- Call for papers 9- International Conferences

Featured research (3)

With the increasing availability of high-resolution satellite and drone images and the Internet of Things (IoT) has begun transforming remote sensing of agriculture by improving accessibility and frequency of updates. Modern IoT-based smart agriculture systems use Wireless Sensor Networks (WSNs) to gather information from an ecosystem that regulates the quantity of water in agricultural fields could be one of these activities. The WSNs remained a challenge to transfer data to drones for analysis purposes. These are composed of tiny sensory architectures organized together to bring efficiency and scalability features to a network. WSN nodes are controlled and managed by a cluster. It is quite difficult to design an efficient leader election protocol. The computation power, storage space, and energy supply of sensor nodes make them unable to frequently switch to a different cluster. The WSN cluster-head election process requires a lot of energy (evaluation and computational process to select the most appropriate node with the least impact on network fragmentation in energy consumption of selected node). Then it is necessary to formulate a mechanism where WSNs utilize the least energy to coordinate with the remote sensing sources. This study presents a cluster election algorithm using the fuzzy logic inference system. It uses a coordinates system to map network nodes and map them based on prioritized scheduling. Lifetime augmentation in wireless sensor networks has always been of great interest. During data transmission from normal sensor nodes to the base station (sink), excess energy is dissipated. Optimizing the energy dissipation of WSNs through the selection of cluster heads is a powerful way to increase the lifespan. By electing more efficient nodes as cluster heads, the proposed method extends the network's lifetime by reducing the number of unimportant communications between nodes. With the utilization of network resources efficiently, the network's lifetime is extended. The proposed algorithm is evaluated with the LEACH (Low Energy Adaptive Clustering Structure) algorithm and FCA method based on the remaining energy and the number of active nodes. The simulation results show that the proposed algorithm utilizes less energy for communication with remote sensory equipment for intelligent agriculture. The performance of the method improved for remaining energy by 9%, the number of active nodes rate by 24%, and indirectly network resource utilization than other states of the art solutions.
Cloud Computing has been envisioned as the next generation architecture of IT Enterprise. Cloud Computing moves the application software and databases to the large data centers, here the management of the data and services may not be fully trustworthy. Cloud offers many key features such to provide the user with the ease of use. Cloud offers two main purposes, for computing and storage. It optimizes the cloud storage by reducing the amount of space used to store the files. We are also implementing secure fuzzy keyword search that uses fuzzy logic to securely search files from the cloud storage based on approximate keyword values from user. The proposed solution consists of a data de-duplication which is a technique that eliminates copies of the same file thereby improving the system performance and decreases the bandwidth used in data transmission. The fuzzy keyword search provides a user-friendly interface to search for files by using fuzzy logic which approximates user keywords to matching keywords to retrieve relevant files. Here, we are improving the efficiency of the cloud storage using de-duplication techniques and privacy preserving fuzzy keyword search technique.
The Internet of Things (IoT) is a system of interrelated computing devices with specific identifiers and the ability to transfer information over a network without any need human-to-human or human-to-computer interference. They enhance collection of data, automation operations and much more through smart tools and enhance powerful technology. IoT has rapidly evolved to be one of the most potential domains to fundamentally shift the way we interact with our environment. The existing system makes use of wireless networks [11-19] which is not reliable. Zigbee is used in transmission of the signal from the sensor to the electric motor which is authentic. The Raspberry Pi on which the humidity sensor is embedded is mostly used for Linux operating system which increases the cost of the system. It fails to notify the farmers about the start and stop of motor. The owner of the field is unaware of the status of the land due to the lack of acknowledgement. To overcome this issue an Automated Irrigation system to monitoring soil moisture using humidity sensor in Arduino with Bluetooth is proposed. This method will yield 98% efficiency in terms of monitoring the soil moisture and notifying the farmers about the status of the field. Arduino used reduces the complexity of the architecture and reduces the maintenance cost of the system. Bluetooth used to transfer the detected values to the motor serves as a reliable transmission protocol and supports wide area coverage. The database maintained about the supply of water to the field is helpful in areas of water scarcity.

Lab head

Jafar Alzubi
Department
  • Faculty of engineering
About Jafar Alzubi
  • Jafar A. Alzubi is an associate professor at Al-Balqa Applied University, School of Engineering, Jordan. Received Ph.D. degree in Advanced Telecommunications from Swansea University, Swansea – UK (2012). Jafar works and researches in multi and interdisciplinary environment involving Machine Learning, classifications and detection of Web scams, Internet of Things, Wireless Sensor Networks, and using Algebraic–Geometric theory in channel coding for wireless networks. Managed and directed few projects funded by the European Union. A cumulative research experience for over ten years, resulted in publishing more than thirty papers in highly impacted journals.

Members (5)

Mehdi Gheisari
  • Guangzhou University
Omar Almomani
  • The World Islamic Science and Education University
Omar A. Alzubi
  • Al-Balqa' Applied University
Yellamma Pachipala
  • K L University
Nesreen Alsharman
  • WISE, Jordan
E Kodhai
E Kodhai
  • Not confirmed yet
Krishna S V Divakar
Krishna S V Divakar
  • Not confirmed yet
Allwin Andrews
Allwin Andrews
  • Not confirmed yet
V Janani
V Janani
  • Not confirmed yet
G. Shree Varshni
G. Shree Varshni
  • Not confirmed yet
Kavipriya
Kavipriya
  • Not confirmed yet
Kavya Kameswari
Kavya Kameswari
  • Not confirmed yet