Ibrahim Shatnawi
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Ibrahim Shatnawi has a total of 2 co-authors. Here are the top co-authors by number of shared publications:
- Eyad Taqieddin
Department of Network Engineering and Security, Jordan University of Science and Technology, Irbid, Jordan
1 shared publication - Omar Banimelhem
Department of Network Engineering and Security, Jordan University of Science and Technology, Irbid 22110, Jordan
1 shared publication
Latest Publications
- Open Access
- 29 November 2021
- Published by MDPI AG in Journal of Sensor and Actuator Networks
- Vol. 10 (4) , 69
An Efficient Path Generation Algorithm Using Principle Component Analysis for Mobile Sinks in Wireless Sensor Networks
Recently, the data collection problem in wireless sensor networks (WSNs) using mobile sinks has received much attention. The main challenge in such problems is constructing the path that the mobile sink (MS) will use to collect the data. In this paper, an efficient path generation algorithm for the mobile sink based on principal component analysis (PCA) is proposed. The proposed approach was evaluated using two data collection modes—direct and multihop—and it was compared with another approach called the mobile-sink-based energy-efficient clustering algorithm for wireless sensor networks (MECA). When compared with MECA, simulation results have shown that the proposed approach improves the performance of WSN in terms of the number of live nodes and average remaining energy.
- 29 November 2021
- Published by MDPI AG in Journal of Sensor and Actuator Networks
- Vol. 10 (4) , 69
Open AccessAn Efficient Path Generation Algorithm Using Principle Component Analysis for Mobile Sinks in Wireless Sensor Networks
Recently, the data collection problem in wireless sensor networks (WSNs) using mobile sinks has received much attention. The main challenge in such problems is constructing the path that the mobile sink (MS) will use to collect the data. In this paper, an efficient path generation algorithm for the mobile sink based on principal component analysis (PCA) is proposed. The proposed approach was evaluated using two data collection modes—direct and multihop—and it was compared with another approach called the mobile-sink-based energy-efficient clustering algorithm for wireless sensor networks (MECA). When compared with MECA, simulation results have shown that the proposed approach improves the performance of WSN in terms of the number of live nodes and average remaining energy.