Abdulazeez Femi Salami
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Abdulazeez Femi Salami has a total of 63 co-authors. Here are the top co-authors by number of shared publications:
- Bashir Olaniyi Sadiq
Department of Electrical, Telecommunication and Computer Engineering, Kampala International University, Kampala, Uganda
7 shared publications - Habeeb Bello-Salau
Department of Computer Engineering, Ahmadu Bello University, Zaria 810107, Nigeria
5 shared publications - Eustace Mananyi Dogo
Federal University of Technology
3 shared publications F. Anwar
Department of Electrical and Computer Engineering, International Islamic University Malaysia (IIUM), P. O. Box 10, 53100, Gombak, Malaysia
3 shared publications- A. H. M. Zahirul Alam
International Islamic University Malaysia
2 shared publications A. M. Aibinu
Department of Mechatronics Engineering, International Islamic University Malaysia (IIUM), P. O. Box 10, 53100, Gombak, Malaysia
2 shared publications
Latest Publications
- Open Access
UBER: UAV-Based Energy-Efficient Reconfigurable Routing Scheme for Smart Wireless Livestock Sensor Network
This paper addresses coverage loss and rapid energy depletion issues for wireless livestock sensor networks by proposing a UAV-based energy-efficient reconfigurable routing (UBER) scheme for smart wireless livestock sensor networking applications. This routing scheme relies on a dynamic residual energy thresholding strategy, robust cluster-to-UAV link formation, and UAV-assisted network coverage and recovery mechanism. The performance of UBER was evaluated using low, normal and high UAV altitude scenarios. Performance metrics employed for this analysis are network stability (NST), load balancing ratio (LBR), and topology fluctuation effect ratio (TFER). Obtained results demonstrated that operating with a UAV altitude of 230 m yields gains of 31.58%, 61.67%, and 75.57% for NST, LBR, and TFER, respectively. A comparative performance evaluation of UBER was carried out with respect to hybrid heterogeneous routing (HYBRID) and mobile sink using directional virtual coordinate routing (MS-DVCR). The performance indicators employed for this comparative analysis are energy consumption (ENC), network coverage (COV), received packets (RPK), SN failures detected (SNFD), route failures detected (RFD), routing overhead (ROH), and end-to-end delay (ETE). With regard to the best-obtained results, UBER recorded performance gains of 46.48%, 47.33%, 15.68%, 19.78%, 46.44%, 29.38%, and 58.56% over HYBRID and MS-DVCR in terms of ENC, COV, RPK, SNFD, RFD, ROH, and ETE, respectively. The results obtained demonstrated that the UBER scheme is highly efficient with competitive performance against the benchmarked CBR schemes.
Open AccessUBER: UAV-Based Energy-Efficient Reconfigurable Routing Scheme for Smart Wireless Livestock Sensor Network
This paper addresses coverage loss and rapid energy depletion issues for wireless livestock sensor networks by proposing a UAV-based energy-efficient reconfigurable routing (UBER) scheme for smart wireless livestock sensor networking applications. This routing scheme relies on a dynamic residual energy thresholding strategy, robust cluster-to-UAV link formation, and UAV-assisted network coverage and recovery mechanism. The performance of UBER was evaluated using low, normal and high UAV altitude scenarios. Performance metrics employed for this analysis are network stability (NST), load balancing ratio (LBR), and topology fluctuation effect ratio (TFER). Obtained results demonstrated that operating with a UAV altitude of 230 m yields gains of 31.58%, 61.67%, and 75.57% for NST, LBR, and TFER, respectively. A comparative performance evaluation of UBER was carried out with respect to hybrid heterogeneous routing (HYBRID) and mobile sink using directional virtual coordinate routing (MS-DVCR). The performance indicators employed for this comparative analysis are energy consumption (ENC), network coverage (COV), received packets (RPK), SN failures detected (SNFD), route failures detected (RFD), routing overhead (ROH), and end-to-end delay (ETE). With regard to the best-obtained results, UBER recorded performance gains of 46.48%, 47.33%, 15.68%, 19.78%, 46.44%, 29.38%, and 58.56% over HYBRID and MS-DVCR in terms of ENC, COV, RPK, SNFD, RFD, ROH, and ETE, respectively. The results obtained demonstrated that the UBER scheme is highly efficient with competitive performance against the benchmarked CBR schemes.
- Open Access
Fault-Tolerant Backup Clustering Algorithm for Smart Connected Underwater Sensor Networks
This paper addresses poor cluster formation and frequent Cluster Head (CH) failure issues of underwater sensor networks by proposing an energy-efficient hierarchical topology-aware clustering routing (EEHTAC) protocol. In this paper, fault-tolerant backup clustering (FTBC) algorithms and multi-parameter cluster formation (MPCF) model were developed for the EEHTAC operation. The MPCF model tackles the issue of poor cluster formation performance by integrating multiple parameters to achieve effective clustering process. The FTBC algorithms tackle the issue of frequent CH failures to avoid interruption in data transmission. Performance of the MPCF model was evaluated using normal, high-fault, and high routing overhead network scenarios. Performance metrics employed for this analysis are temporal topology variation ratio (TTVR), CH load distribution (CLD), and cluster stability (STB). Obtained results show that operating with a CH retention period of 90s achieves better CH duty cycling per round and improves the MPCF process with values of 25.69%, 55.56%, and 60% for TTVR, CLD, and STB respectively. Performance of the FTBC-based EEHTAC was evaluated relative to Energy-balanced Unequal Layering Clustering (EULC) protocol. Performance indicators adopted for this evaluation are routing overhead ({\Omega}), end to end delay ({\Delta}), CH failures recovered (CFR), CH failures detected (CFD), received packets ({\theta}), and energy consumption ({\Sigma}). With reference to the best obtained values, EEHTAC demonstrated performance improvement of 58.40%, 29.94%, 81.33%, 28.02%, 86.65%, and 54.35% over EULC variants in terms of {\Omega}, {\Delta}, CFR, CFD, {\theta}, and {\Sigma} respectively. Obtained results displayed that the MPCF model is efficient for cluster formation performance and the FTBC-based EEHTAC protocol can perform effectively well against an existing CBR protocol.Open AccessFault-Tolerant Backup Clustering Algorithm for Smart Connected Underwater Sensor Networks
This paper addresses poor cluster formation and frequent Cluster Head (CH) failure issues of underwater sensor networks by proposing an energy-efficient hierarchical topology-aware clustering routing (EEHTAC) protocol. In this paper, fault-tolerant backup clustering (FTBC) algorithms and multi-parameter cluster formation (MPCF) model were developed for the EEHTAC operation. The MPCF model tackles the issue of poor cluster formation performance by integrating multiple parameters to achieve effective clustering process. The FTBC algorithms tackle the issue of frequent CH failures to avoid interruption in data transmission. Performance of the MPCF model was evaluated using normal, high-fault, and high routing overhead network scenarios. Performance metrics employed for this analysis are temporal topology variation ratio (TTVR), CH load distribution (CLD), and cluster stability (STB). Obtained results show that operating with a CH retention period of 90s achieves better CH duty cycling per round and improves the MPCF process with values of 25.69%, 55.56%, and 60% for TTVR, CLD, and STB respectively. Performance of the FTBC-based EEHTAC was evaluated relative to Energy-balanced Unequal Layering Clustering (EULC) protocol. Performance indicators adopted for this evaluation are routing overhead ({\Omega}), end to end delay ({\Delta}), CH failures recovered (CFR), CH failures detected (CFD), received packets ({\theta}), and energy consumption ({\Sigma}). With reference to the best obtained values, EEHTAC demonstrated performance improvement of 58.40%, 29.94%, 81.33%, 28.02%, 86.65%, and 54.35% over EULC variants in terms of {\Omega}, {\Delta}, CFR, CFD, {\theta}, and {\Sigma} respectively. Obtained results displayed that the MPCF model is efficient for cluster formation performance and the FTBC-based EEHTAC protocol can perform effectively well against an existing CBR protocol. - 1 January 2020
- Published by Elsevier
- p. 143-187
Explorative analysis of AUV-aided cluster-based routing protocols for Internet of intelligent underwater sensors
- 1 January 2020
- Published by Elsevier
- p. 143-187
Explorative analysis of AUV-aided cluster-based routing protocols for Internet of intelligent underwater sensors
- Open Access
- 11 November 2019
- Published by University of Ilorin in Nigerian Journal of Technological Development
- Vol. 16 (4) , 176
Performance Review of Selected Topology-Aware Routing Strategies for Clustering Sensor Networks
Performance Review of Selected Topology-Aware Routing Strategies for Clustering Sensor Networks
- 11 November 2019
- Published by University of Ilorin in Nigerian Journal of Technological Development
- Vol. 16 (4) , 176
Open AccessPerformance Review of Selected Topology-Aware Routing Strategies for Clustering Sensor Networks
Performance Review of Selected Topology-Aware Routing Strategies for Clustering Sensor Networks
- Open Access
- 2 October 2019
- Published by Association for Computing Machinery (ACM)
- p. 1-10
Evaluative analysis of next generation mobile networks in future smart grid in developing countries
- 2 October 2019
- Published by Association for Computing Machinery (ACM)
- p. 1-10
Open AccessEvaluative analysis of next generation mobile networks in future smart grid in developing countries
- 1 October 2019
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 1-6
A High Gain Patch Antenna Array for 5G Communication
This research proposed a 1X4 patch antenna array for 5G Communication. The proposed antenna was designed to resonate at 28GHz frequency band. CST Microwave studio was used for the simulation of the antenna by employing Roger RT 5880 LZ with thickness and permittivity 0.762mm and 1.96 respectively as the substrate. The antenna was fed using a quarter-wave transformer to match its impedance to 50 ohms. The single patch resonates at 27.9GHz frequency with; a bandwidth of 1.87GHz, and a gain of 7.79dB. The addition of another element brought about an increment in the above-mentioned values. Furthermore, the implementation of the four element array configuration brought about the significant enhancement of values for bandwidth and antenna gain with maximum achievable gain of 13.5 dB. The design procedure, structure and simulation of the antenna are discussed in this paper.
- 1 October 2019
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 1-6
A High Gain Patch Antenna Array for 5G Communication
This research proposed a 1X4 patch antenna array for 5G Communication. The proposed antenna was designed to resonate at 28GHz frequency band. CST Microwave studio was used for the simulation of the antenna by employing Roger RT 5880 LZ with thickness and permittivity 0.762mm and 1.96 respectively as the substrate. The antenna was fed using a quarter-wave transformer to match its impedance to 50 ohms. The single patch resonates at 27.9GHz frequency with; a bandwidth of 1.87GHz, and a gain of 7.79dB. The addition of another element brought about an increment in the above-mentioned values. Furthermore, the implementation of the four element array configuration brought about the significant enhancement of values for bandwidth and antenna gain with maximum achievable gain of 13.5 dB. The design procedure, structure and simulation of the antenna are discussed in this paper.
- Open Access
- 13 February 2019
- Published by Springer Nature
- p. 129-150
Blockchain and Internet of Things-Based Technologies for Intelligent Water Management System
- 13 February 2019
- Published by Springer Nature
- p. 129-150
Open AccessBlockchain and Internet of Things-Based Technologies for Intelligent Water Management System
- 1 January 2019
- Published by University of Latvia in Baltic Journal of Modern Computing
- Vol. 7 (1) , 19-30
On the Accuracy of Edge Detectors in Number Plate Extraction
- 1 January 2019
- Published by University of Latvia in Baltic Journal of Modern Computing
- Vol. 7 (1) , 19-30
On the Accuracy of Edge Detectors in Number Plate Extraction