A energy efficient WSN system for limited power source environments

Semente, Rodrigo S.; Silva, Alexandre; Salazar, Andrés O.; Oliveira, Fabiano Luiz de; Lock, Alberto Soto

doi:10.1109/icsenst.2013.6727641

Cited by 4 publications

(3 citation statements)

References 19 publications

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“…This extra low power design is highly contributed by the development of own PCB (Printed Circuit Board) that uses products with Microchip's Nano Watt XLP (Extra Low Power) technology. Another way of powering sensing nodes that has recently attracted attention are systems that can obtain energy from the environment [31]. Since sensor networks are mostly used in outdoor environments, it is possible to collect energy from sources like sunlight, water flow, wind, etc.…”

Section: Factors To Consider During Design Of Wsn For Water Monitoringmentioning

confidence: 99%

Wireless Sensor Network (WSN) for Water Monitoring: A Review on Building Blocks and Factors to Consider During Design Decisions

Njuu¹

2019

IJCA

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Nowadays, WSN based systems have progressively become an important technological advancement. Sensor networks are key in various aspects of life, such as home and industrial automation and health and environmental monitoring. In order to build a sensor based network relevant to a particular application environment, it is important for one to be aware of the current technological developments, as well as available options and techniques in order to make sound decisions. This paper discusses the main building blocks and factors to consider during design decisions of WSN for water monitoring. The paper focuses on the technology alternatives on the WSN subsystems, which are sensing, communication, and storage and processing subsystems. The technological options that are available on each of the subsystems are carefully analyzed and evaluated with regard to the water monitoring application environment. Furthermore, the factors that are important for the development and sustainability of sensor network systemscosts and power sources management are also discussed.

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Section: Factors To Consider During Design Of Wsn For Water Monitoringmentioning

confidence: 99%

Wireless Sensor Network (WSN) for Water Monitoring: A Review on Building Blocks and Factors to Consider During Design Decisions

Njuu¹

2019

IJCA

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“…This method has the advantage of being less susceptible to interference from transmission scenarios and other signals. However, the complexity of wiring increases both time and maintenance costs [5]. Wireless transmission monitoring equipment is not bound by the data line flexibility of independent deployment.…”

Section: Introductionmentioning

confidence: 99%

Optimizing the Timeliness of Hybrid OFDMA-NOMA Sensor Networks with Stability Constraints

Wang,

Dong,

Pan

2024

Electronics

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In this paper, we analyze the timeliness of a multi-user system in terms of the age of information (AoI) and the corresponding stability region in which the packet rates of users lead to finite queue lengths. Specifically, we consider a hybrid OFDMA-NOMA system where the users are partitioned into several groups. While users in each group share the same resource block using non-orthogonal multiple access (NOMA), different groups access the fading channel using orthogonal frequency division multiple access (OFDMA). For this system, we consider three decoding schemes at the service terminals: interfering decoding, which treats signals from other users as interference; serial interference cancellation, which removes signals from other users once they have been decoded; and the enhanced SIC strategy, where the receiver attempts to decode for another user if decoding for a previous user fails. We present the average AoI for each of the three decoding schemes in closed form. Under the constraint of the stable region, we find the minimum AoI of each decoding scheme efficiently. The numerical results show that by optionally choosing the decoding scheme and transmission rate, the hybrid OFDMA-NOMA outperforms conventional OFDMA in terms of both system timeliness and stability.

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“…The hybrid energy sources increase the probability of having uninterruptible power supply because each source can compensate some fluctuation of energy on its counterpart transmitted to the powered device (Akbari, 2014). The work by (Semente et al, 2013) on an energy efficient sensor network system for limited power source environments is a good depiction of this technique.…”

Section: Factors To Consider During Design Of Wsn For Water Monitoringmentioning

confidence: 99%

Sensor based method for water monitoring in smallholder irrigatted agriculture Tanzania

Njuu¹

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Monitoring water use in traditional irrigation canals is critical for any water management best practice to function. In Tanzania, water basin authorities and users association have been created to distribute and levy water usage fee in view of avoiding conflicts. Although much has been done over the years, the authorities have so far failed to ensure the desired equity, fairness and transparency. This is largely attributed to high deployment cost which constrains the uptake of various technologies. In agriculture, one of the commonly used technologies is sensors. Effective utilization of sensors requires a design that matches the physical and connectivity environment of the area. In this dissertation, we present such a system of wireless sensor network designed for the purpose of improving water management in farmer-led irrigation. The system consist of a low-cost design of a sensor system that measures water depths at specific canal points and transmits the measurements to a central system. The central system transforms the measurements into discharge values using a locally established rating curve. For the end user, we have provided a web based application for administering the canals; visualize canal discharge values; and generating reports. The system can easily be scaled up to monitor larger networks of canals, and can therefore be a game changer when deployed.

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A energy efficient WSN system for limited power source environments

Cited by 4 publications

References 19 publications

Wireless Sensor Network (WSN) for Water Monitoring: A Review on Building Blocks and Factors to Consider During Design Decisions

Wireless Sensor Network (WSN) for Water Monitoring: A Review on Building Blocks and Factors to Consider During Design Decisions

Optimizing the Timeliness of Hybrid OFDMA-NOMA Sensor Networks with Stability Constraints

Sensor based method for water monitoring in smallholder irrigatted agriculture Tanzania

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