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Author

Dhouha El Houssaini

Bio: Dhouha El Houssaini is an academic researcher from Chemnitz University of Technology. The author has contributed to research in topics: Wireless sensor network & Energy consumption. The author has an hindex of 8, co-authored 21 publications receiving 192 citations. Previous affiliations of Dhouha El Houssaini include University of Sfax & University of Monastir.

Papers
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Journal ArticleDOI
TL;DR: In this paper, the authors presented a complete irrigation solution for the farmer based on wireless sensor network, which consists of a TelosB mote and adequate sensors or actuators.
Abstract: The main purpose of this study is to present a complete irrigation solution for the farmer based on wireless sensor network. The challenge is to create an automated irrigation system which can reduce in the same time the water's waste and is cost effective. Different parameters are important to measure in order to calculate the efficient quantity of water needed by plants. In this study, the proposed solution is the use of low-cost sensor nodes having reduced power consumption able to realise necessary requirements. The system is composed of different types of nodes. Each node consists of a TelosB mote and adequate sensors or actuators. Soil nodes are used to detect the level of moisture and temperature in soil. Weather nodes monitor the climatic changes. Other nodes are connected to actuators which are able to control the opening of the irrigation valve if necessary.

55 citations

Journal ArticleDOI
14 Jan 2021-Sensors
TL;DR: In this article, a comprehensive review on system design for battery-free and energy-aware WSNs, making use of ambient energy or wireless energy transmission, is presented, which gives a deep insight in energy management methods as well as possibilities for energy saving on node and network level.
Abstract: Nowadays, wireless sensor networks are becoming increasingly important in several sectors including industry, transportation, environment and medicine. This trend is reinforced by the spread of Internet of Things (IoT) technologies in almost all sectors. Autonomous energy supply is thereby an essential aspect as it decides the flexible positioning and easy maintenance, which are decisive for the acceptance of this technology, its wide use and sustainability. Significant improvements made in the last years have shown interesting possibilities for realizing energy-aware wireless sensor nodes (WSNs) by designing manifold and highly efficient energy converters and reducing energy consumption of hardware, software and communication protocols. Using only a few of these techniques or focusing on only one aspect is not sufficient to realize practicable and market relevant solutions. This paper therefore provides a comprehensive review on system design for battery-free and energy-aware WSN, making use of ambient energy or wireless energy transmission. It addresses energy supply strategies and gives a deep insight in energy management methods as well as possibilities for energy saving on node and network level. The aim therefore is to provide deep insight into system design and increase awareness of suitable techniques for realizing battery-free and energy-aware wireless sensor nodes.

53 citations

Proceedings ArticleDOI
19 Mar 2018
TL;DR: Novel trends for supplying WSN from ambient energy and by wireless energy transmission and possibilities for improving energy income by combination of converters within hybrid solutions are focused on.
Abstract: In the internet of things context, the use of Wireless Sensor Networks (WSN) becomes extensive and the aspect of energy supply becomes more and more essential. Flexible positioning and easy maintenance become a key aspect for the acceptance of this technology. In this paper, we focus on novel trends for supplying WSN from ambient energy and by wireless energy transmission. The improvements made in the last years have shown that it is possible to significantly improve energy efficiency by suitable converters and to reduce energy consumption of sensor nodes, so that the use of these emerging technologies becomes increasingly realistic and practicable. We report about possibilities for improving energy income by combination of converters within hybrid solutions. Different techniques for enhancing efficiency of energy converters and reducing energy consumption on node and network level are described.

37 citations

Journal ArticleDOI
TL;DR: A routing algorithm is proposed which combines localization and clustering to reduce the energy consumption of the network and can be easily integrated on IoT systems to monitor and control different environmental and agricultural applications.
Abstract: Wireless sensor networks offer an interesting solution for problems related to farming resources optimization, decision making support, and land monitoring. They offer real-time information about the changes in the field and about the state of crops and make the harvest better through precision farming. In agricultural applications, the use of spatially distributed WSNs is expected to increase. Thereby, energy-efficiency techniques have been investigated and become much more important as the number of distributed sensor nodes increases. Wireless communication can lead in general to excessive demands of energy. Thus, a routing algorithm is proposed which combines localization and clustering to reduce the energy consumption of the network. A localization-based RSSI algorithm is proposed to determine the nodes position. After that, a fuzzy-based unequal clustering algorithm is developed to balance the energy consumption among all sensor nodes. A real implementation of energy aware routing algorithm is carried out on the wireless sensor node PanStamp NRG 2.0. This network structure can be easily integrated on IoT systems to monitor and control different environmental and agricultural applications.

23 citations

Proceedings ArticleDOI
16 May 2018
TL;DR: A method for estimating the energy consumption of a low power wireless node panStamp NRG 2.0 and a proper metric of the energy consumed per byte transmission pattern of the packets is provided.
Abstract: In most of the real-life application scenarios, where Wireless Sensor Networks (WSNs) are deployed, the energy is a limited and valuable resource. Many energy-based strategies were proposed in the literature to reduce the power consumption of sensor nodes and thus enhance the network lifetime. When those algorithms are developed and tested with some well-known network simulators like NS3, OPNET, the energy estimation aspect is not a key criterion, because these simulators have their own specific energy models. By implementing these algorithms in a real sensor node, the energy consumption can be measured and compared to the results provided by other previously implemented approaches. This paper proposes a method for estimating the energy consumption of a low power wireless node panStamp NRG 2.0. The proposed model calculates the consumed energy of the system, at run time for different operation cycles. Besides, since the biggest amount of energy is consumed during the communication, this paper aims to characterize the power consumption in the transmission state. A proper metric of the energy consumed per byte transmission pattern of the packets is provided. The results can be used to derive not only the energy consumption for other protocols but also the energy needed to transmit one byte as well as the payload size are given.

20 citations


Cited by
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Journal ArticleDOI
TL;DR: This work aimed to design and develop a control system using node sensors in the crop field with data management via smartphone and a web application to optimally watering agricultural crops based on a wireless sensor network.

441 citations

Journal ArticleDOI
TL;DR: The results from the review were compiled into an IoT architecture that represents a wide range of current solutions in agro-industrial and environmental fields that are motivated by the need to identify application areas, trends, architectures and open challenges in these two fields.

336 citations

Journal ArticleDOI
TL;DR: A deep overview of the current state of the art of wireless sensor nodes with enough background is provided to allow to design evolutionary nodes and to analyze thoroughly the node design components and application trends.

85 citations

Journal ArticleDOI
19 Jan 2021
TL;DR: A survey of the current issues, application areas, findings, and performance challenges in wireless body area networks finds WBANs faces several operational, standardization, and security issues, affecting performance and maintenance of user safety and privacy.
Abstract: This study presents a survey of the current issues, application areas, findings, and performance challenges in wireless body area networks (WBAN). The survey discusses selected areas in WBAN signal processing, network reliability, spectrum management, security, and WBAN integration with other technologies for highly efficient future healthcare applications. The foundation of the study bases on the recent growing advances in microelectronic technology and commercialization, which ease device availability, miniaturization, and communication. The survey considers a systemic review conducted using reports, standard documents, and peer-reviewed articles. Based on the comprehensive review, we find WBANs faces several operational, standardization, and security issues, affecting performance and maintenance of user safety and privacy. We envision the increasing dependency of future healthcare on WBAN for medical and non-medical applications due to internet connectivity advances. In this view, despite the WBAN advantages in remote health monitoring, further studies need to be conducted for performance optimization. Therefore we finalize our study by proposing various current and future research directions and open issues in WBAN’s performance enhancement.

71 citations

Journal ArticleDOI
TL;DR: A water quality monitoring system for aquaculture ponds based on the narrow band internet of things (NB-IoT) technology, which has stable overall operation, real-time and accurate data transmission, which can meet the actual production needs and provide strong data and technical support for further water quality regulation and Aquaculture production management.

65 citations