Publications

@article{Othman2022,

title = {Privacy-preserving aware data aggregation for IoT-based healthcare with green computing technologies},

author = {S. B. Othman and F. A. Almalki and C. Chakraborty and H. Sakli},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85129308229\&doi=10.1016%2fj.compeleceng.2022.108025\&partnerID=40\&md5=182a85b26c703ec9fc74b8f18abe32d2},

doi = {10.1016/j.compeleceng.2022.108025},

issn = {00457906},

year  = {2022},

date = {2022-01-01},

journal = {Computers and Electrical Engineering},

volume = {101},

publisher = {Elsevier Ltd},

abstract = {Despite the rapid development of the Internet of Things technologies where more and more medical sensors and gadgets are connected to the Internet, limited energy resources due to transmission, and security are still main challenges. Most cases, patients wear multiple medical devices that transmit sensed medical data wirelessly to servers, which might cause big traffic on the communication networks, which in turn cause high energy consumption. Therefore, using the data aggregation, we can considerably reduce the energy consumption by eliminating redundant data; yet collected data must be fully protected. Secure data collection and transfer to centralized servers in healthcare applications employing IoT is quite challenging to protect against several attacks for illegal data access. For this reason, massive security measures should be taken to ensure that patients’ data can only be accessed by legitimate users. This paper proposes EPPADA: Efficient Privacy‑Preserving Authentication and Data Aggregation scheme in conjunction with Homomorphic Encryption concepts to meet requirements of healthcare using IoT with green computing technologies. The main objective of this proposed scheme is to decrease the communication overhead and energy consumption while maintaining safe and secure aggregation of the healthcare data between medical sensors and cloud servers. The proposed system is experimentally developed using E-health sensor shield V2.0 platform. Based on security analysis that has the most extensive set of security features, our multi-objective approach enhances the End-to-End Delay, Computational Cost, Communication Overhead, besides maintaining security features. © 2022},

note = {cited By 59},

keywords = {Authentication; Energy resources; Energy utilization; Green computing; Health care; Privacy-preserving techniques; Security systems, Communication overheads; Computing technology; Data aggregation; Dual-prediction; Energy-consumption; Internet of things technologies; Medical sensors; Privacy preserving; Security; Security features, Internet of things},

pubstate = {published},

tppubtype = {article}

}

@article{Zouinkhi2021,

title = {A novel energy-safe algorithm for enhancing the battery life for iot sensors’ applications},

author = {A. Zouinkhi and A. Flah and L. Mihet-Popa},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85117324492\&doi=10.3390%2fen14206613\&partnerID=40\&md5=4796817a4477a8b37cb05f9038a11bef},

doi = {10.3390/en14206613},

issn = {19961073},

year  = {2021},

date = {2021-01-01},

journal = {Energies},

volume = {14},

number = {20},

publisher = {MDPI},

abstract = {Energy safe is mandatory for all isolated IoT tools, such as in long way roads, mountains, or even in smart cities. If increasing the lifetime of these tools, the rentability of the global network loop becomes more efficient. Therefore, this paper presents a new approach for saving energy inside the source nodes by supervising the state of energy inside each source node and calculating the duty cycle factor. The relationship between these parameters is based on an optimization problem formulation. In this respect, the present paper is designed to propose a new approach that deals with increasing the lifetime of the wireless sensor network (WSN)-attached nodes, as fixed in the application. The newly devised design is based on implementing the IEEE 802.15.4 standard beacon-enabled mode, involving a cluster tree topology. Accordingly, every subgroup is allotted to apply a specifically different duty cycle, depending on the battery’s remaining energy level, which contributes to creating a wide range of functional modes. Hence, various thresholds are defined. Simulation results prove the efficiency of the proposed approach and show the energetic benefit. The proposed flowchart has minimized the consumed energy for the WSN, which improves the battery lifetime and enhances the IoT application’s robustness. Simulations and experiments have been carried out under different conditions and the results prove that the proposed method is a viable solution. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.},

note = {cited By 5},

keywords = {Battery life; Duty-cycle; Energy; Energy optimization; Global networks; Ieee 802.15.4/zigbee; Network loops; New approaches; Sensor applications; Source nodes, Electric batteries; IEEE Standards; Sensor nodes; Smart city, Internet of things},

pubstate = {published},

tppubtype = {article}

}

@article{Baccouch2021,

title = {Adaptive Ku-Band Solar Rectenna for Internet-of-Things- (IoT)-over-Satellite Applications},

author = {C. Baccouch and C. Bahhar and H. Sakli and T. Aguili},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85111566815\&doi=10.1155%2f2021%2f9934025\&partnerID=40\&md5=4ff6e849e77990cbb2d28db395c21ccc},

doi = {10.1155/2021/9934025},

issn = {15308669},

year  = {2021},

date = {2021-01-01},

journal = {Wireless Communications and Mobile Computing},

volume = {2021},

publisher = {Hindawi Limited},

abstract = {The emergence of new IoT applications in regional and remote areas has increased the need for a global IoT connectivity beyond existing terrestrial network coverage. However, in many cases, it is not economically viable to build a dedicated terrestrial network to cover these remote areas due to population sparsity and the lack of business case. In this paper, we propose a framework for designing a solar rectenna for IoT-over-satellite applications using nanosatellites. Utilizing such a framework will allow valuable radio spectrum resources to be shared between satellite and terrestrial users. Thus, the autonomous power supply of these objects becomes a big challenge. Indeed, the harvest of solar energy and the conversion of RF energy into electric voltage are a hot topic. Our contribution consists in offering a solar rectenna system to collect solar and RF energy as well as the radio frequency transmission. A parametric study is carried out to follow the influence on the performance of this system. A topology of rectifying circuits is proposed in the present work. The parametric study has shown that the efficiency RF/DC conversion can reach 23.2% for an input power of 5 dBm and a load resistance of 2 kΩ. To ensure the satellite communication of IoT-connected autonomous objects, this system is operated in the X or Ku band. © 2021 Chokri Baccouch et al.},

note = {cited By 4},

keywords = {Autonomous objects; Economically viable; Internet of Things (IOT); Radio frequency transmission; Rectenna systems; Satellite applications; Satellite communications; Terrestrial networks, Electric power systems; Electric rectifiers; Nanosatellites; Radio transmission; Rectennas; Satellite communication systems; Solar energy; Solar power generation, Internet of things},

pubstate = {published},

tppubtype = {article}

}

@article{Almalki2021,

title = {EERP-DPM: Energy Efficient Routing Protocol Using Dual Prediction Model for Healthcare Using IoT},

author = {F. A. Almalki and S. Ben Othman and F. A. Almalki and H. Sakli},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85106020221\&doi=10.1155%2f2021%2f9988038\&partnerID=40\&md5=9cc7d0d7b4d0ff802df12061e1fa4699},

doi = {10.1155/2021/9988038},

issn = {20402295},

year  = {2021},

date = {2021-01-01},

journal = {Journal of Healthcare Engineering},

volume = {2021},

number = {11},

publisher = {Hindawi Limited},

abstract = {Healthcare is one of the most promising domains for the application of Internet of Things-(IoT-) based technologies, where patients can use wearable or implanted medical sensors to measure medical parameters anywhere and anytime. The information collected by IoT devices can then be sent to the health care professionals, and physicians allow having a real-time access to patients' data. However, besides limited batteries lifetime and computational power, there is spatio-temporal correlation, where unnecessary transmission of these redundant data has a significant impact on reducing energy consumption and reducing battery lifetime. Thus, this paper aims to propose a routing protocol to enhance energy-efficiency, which in turn prolongs the sensor lifetime. The proposed work is based on Energy Efficient Routing Protocol using Dual Prediction Model (EERP-DPM) for Healthcare using IoT, where Dual-Prediction Mechanism is used to reduce data transmission between sensor nodes and medical server if predictions match the readings or if the data are considered critical if it goes beyond the upper/lower limits of defined thresholds. The proposed system was developed and tested using MATLAB software and a hardware platform called "MySignals HW V2."Both simulation and experimental results confirm that the proposed EERP-DPM protocol has been observed to be extremely successful compared to other existing routing protocols not only in terms of energy consumption and network lifetime but also in terms of guaranteeing reliability, throughput, and end-to-end delay. © 2021 Faris A. Almalki et al.},

note = {cited By 34},

keywords = {algorithm; Article; data analysis software; energy consumption; Energy Efficient Routing Protocol using Dual Prediction Model; information processing; internet of things; model; computer network; energy conservation; health care delivery; human; reproducibility; wireless communication, Algorithms; Computer Communication Networks; Conservation of Energy Resources; Delivery of Health Care; Humans; Reproducibility of Results; Wireless Technology, Computational power; Energy efficient routing protocol; Hardware platform; Health care professionals; Internet of Things (IOT); Prediction mechanisms; Reducing energy consumption; Spatiotemporal correlation, Internet of things},

pubstate = {published},

tppubtype = {article}

}