Design of a WSN for smart irrigation in citrus plots with fault-tolerance and energy-saving algorithms

Parra, Lorena; Rocher-Morant, Javier; García-García, Laura; Lloret, Jaime; Gironés, Jesús Tomás; Martínez, José Oscar Romero; Rodilla, M.; Falco, S.; Sebastiá-Frasquet, María-Teresa; Cuquerella, Jesús Mengual; Romero, Juan Andrés González; Merino, Bernat Roig

doi:10.5296/npa.v10i2.13205

Cited by 26 publications

(20 citation statements)

References 19 publications

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“…We show the results of simulating the proposed algorithm in terms of formation time considering different scenarios with 1 to 7 ANs and 1 to 2 SN. Moreover, we show the created links in a portion to the smart garden after phase 1, phase 2 and phase 3 after the deployment of two new nodes As future works, we expect to evaluate the energy consumption when the alarms are sent from different SN as it was done in [15]. In addition, we pretend to include a phase 4 aimed to modify the SS-bridges in case that one of them reaches low energy levels.…”

Section: Resultsmentioning

confidence: 99%

Scatternet Formation Protocol for Environmental Monitoring in a Smart Garden

Parra

Marín²,

Mauri³

et al. 2019

NPA

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The monitoring of different parameters in the smart garden environment requires thousands of nodes and actuators. They form a multi-hop communication network. The scatternets formed with Bluetooth protocol is a communication solution. However, there is no current algorithm that considers the different capabilities of the devices (sensors or actuators) and assigns a role according to these capabilities. In this paper, we present a network topology formation algorithm for role assignment and connection establishment which considers the capabilities of the devices and use slave-slave Bridge to communicate the piconets. We design the algorithms needed for this protocol and test it. We have simulated the algorithms in order to evaluate the time needed for role assignment and to establish the first connections of the piconet. The results include different scenarios composed by one or two masters and one to seven slaves. In addition, we evaluate the established connections in piconets and bridges in a real case of the smart garden sensor network. Finally, we present the changes in the piconet connections after the deployment of two nodes in an existing network.

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Section: Resultsmentioning

confidence: 99%

Scatternet Formation Protocol for Environmental Monitoring in a Smart Garden

Parra

Marín²,

Mauri³

et al. 2019

NPA

Self Cite

View full text Add to dashboard Cite

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“…Thus, routing protocols and schemes [102]- [105] become more important in order to better manage the coordination between PUs and SUs, and to improve the performance gain of the whole CR system. Based on cross-layer DSA schemes presented in [101], more advanced cross-layer scheduling techniques should be proposed, to further adapt the sensing and transmission interval and to improve EE, and to deal with more complex network scenarios (e.g.…”

Section: Current Challenge and Future Workmentioning

confidence: 99%

A Survey of EE Optimization Methods for Primary and Secondary Users in Cognitive Radio Networks

Tian¹,

Esseghir²,

Khoukhi³

2019

NPA

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A large scale of spectrum sensing techniques are proposed to improve the use of spectrum resources. However, the EE (energy efficiency) should be guaranteed for both primary and secondary users, especially under various detection performance constraints. In this regard, the linking between activities of PU (primary user) and dynamic access behaviors of SUs (secondary users) should be considered in an integrated way. This survey has compared different existing scenarios and frameworks on EE optimizations. The principal objective is to enhance the system throughput and to coordinate on the physical layer of both PU and SUs, in order to enable a high-quality spectrum detection and a more efficient spectrum access. In the technical part, several optimization methods are introduced under PU’s constraints, and different methods based on game theory are applied to suitable cooperative sensing scenarios for SUs’ optimal access. Finally, the complexity of algorithms is compared, to further reduce the execution time and deploy real-time adaptation for users with lower delay.

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“…Irrigation has been considered in existing precision agriculture systems. However, monitoring the quality of the water that is going to be employed for irrigation has started to be considered for new smart agriculture proposals [1]. The reason for this interest in water quality monitoring for irrigation began as a result of the water scarcity problem that affects several areas belonging to Mediterranean countries.…”

Section: Introductionmentioning

confidence: 99%

Practical Design of a WSN to Monitor the Crop and its Irrigation System

García¹,

Parra²,

Jiménez³

et al. 2019

NPA

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Due to environmental problems, such as the lack of water for irrigation, each day it becomes more necessary to control crops. Therefore, the use of precision agriculture becomes more evident. When it comes to making decisions on crops, it is evident the need to apply the concept of Smart Agriculture, that focuses on utilizing different sensors and actuators. As the number of IoT devices used in agriculture grows exponentially, it is necessary to design the implemented network so that the data is transmitted without problems. The present work shows a wireless network design, in which we use the information collected by the sensors of a Wireless Sensor Network (WSN), and a Wireless Mesh Network (WMN) formed by Access Points (AP) to transmit the data to a network that monitors agriculture for smart irrigation. In addition, through simulations we have presented a proposal of the maximum number of nodes that must be connected to an AP so that the network is efficient.

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Design of a WSN for smart irrigation in citrus plots with fault-tolerance and energy-saving algorithms

Cited by 26 publications

References 19 publications

Scatternet Formation Protocol for Environmental Monitoring in a Smart Garden

Scatternet Formation Protocol for Environmental Monitoring in a Smart Garden

A Survey of EE Optimization Methods for Primary and Secondary Users in Cognitive Radio Networks

Practical Design of a WSN to Monitor the Crop and its Irrigation System

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