Wireless Sensor Network With Perpetual Motes for Terrestrial Snail Activity Monitoring

Garcia-Lesta, D.; Cabello, D.; Ferro, E.; López, P.; Brea, V.M.

doi:10.1109/jsen.2017.2718107

Cited by 25 publications

(12 citation statements)

References 13 publications

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“…Even though these type of devices will exist by billions in the IoT, there exist space for other sensor nodes with more power consumption but still with access to perpetuity. This is the case of the node presented in [41] in which a node for snail detection in an agricultural environment is presented, in order to avoid pests that may damage the plantations. Perpetuity is necessary for the purpose of the application, and radio communication is a requirement as well.…”

Section: B Smart Dustmentioning

confidence: 99%

The Extreme Edge at the Bottom of the Internet of Things: A Review

et al. 2019

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resources (e.g., networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction. This general definition shows the power that cloud computing makes available to the Internet of Things. The basic idea is to collect information, usually big amounts of data, in the point of interest (this so-called the edge, where information is generated) and upload it to be properly processed in the cloud, where ideally permanent and enough processing resources are available. This model may work perfectly with some approaches where the energy resource is not a limitation or the time required for any decision does not impose a very fast reaction. However, the cloud computing paradigm applied directly to IoT presents a set of drawbacks regarding latency, bandwidth and storage [10] because of the huge amount of data that have to be uploaded and processed. Due to these limitations, more layers have been proposed during the last years, getting closer to the source of data.

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Section: B Smart Dustmentioning

confidence: 99%

The Extreme Edge at the Bottom of the Internet of Things: A Review

et al. 2019

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“…Ghaleb and others proposed and developed a discrete event simulation, designed specifically for mobile data gathering in wireless sensor networks [8]. Garcia-Lesta and others introduced a wireless sensor network to detect the presence of snails in fields [9]: they also designed their own wireless sensor network simulator, to account for real-life conditions-of uneven spacing of motes in the field, or of different currents generated by solar cells at the motes. Shah and Akan formulated the approximate bandwidth available to secondary users for a given set of traffic channels operated under an exclusively available common control channel, taking dynamic spectrum access into account [10].…”

Section: Related Workmentioning

confidence: 99%

Exploiting cognitive wireless nodes for priority‐based data communication in terrestrial sensor networks

Bayrakdar

2019

ETRI Journal

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A priority-based data communication approach, developed by employing cognitive radio capacity for sensor nodes in a wireless terrestrial sensor network (TSN), has been proposed. Data sensed by a sensor node-an unlicensed user-were prioritized, taking sensed data importance into account. For data of equal priority, a first come first serve algorithm was used. Non-preemptive priority scheduling was adopted, in order not to interrupt any ongoing transmissions. Licensed users used a nonpersistent, slotted, carrier sense multiple access (CSMA) technique, while unlicensed sensor nodes used a nonpersistent CSMA technique for lossless data transmission, in an energy-restricted, TSN environment. Depending on the analytical model, the proposed wireless TSN environment was simulated using Riverbed software, and to analyze sensor network performance, delay, energy, and throughput parameters were examined. Evaluating the proposed approach showed that the average delay for sensed, high priority data was significantly reduced, indicating that maximum throughput had been achieved using wireless sensor nodes with cognitive radio capacity.

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“…en, using the collected data, the equipment was driven for precision irrigation. In [26], a wireless sensor network was adopted to detect the presence of snails by sensing the environmental data. e WSN motes were also designed with real application and deployed in the data collection.…”

Section: Information Collection In Agriculturementioning

confidence: 99%

A Cloud-Assisted Region Monitoring Strategy of Mobile Robot in Smart Greenhouse

Chu

et al. 2019

Mobile Information Systems

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In smart agricultural systems, the macroinformation sensing by adopting a mobile robot with multiple types of sensors is a key step for sustainable development of agriculture. Also, in a region monitoring strategy that meets the real-scene requirements, optimal operation of mobile robots is necessary. In this paper, a cloud-assisted region monitoring strategy of mobile robots in a smart greenhouse is presented. First, a hybrid framework that contains a cloud, a wireless network, and mobile multisensor robots is deployed to monitor a wide-region greenhouse. Then, a novel strategy that contains two phases is designed to ensure valid region monitoring and meet the time constraints of a mobile sensing robot. In the first phase, candidate region monitoring points are selected using the improved virtual forces. In the second phase, a moving path for the mobile node is calculated based on Euclidean distance. Subsequently, the applicability of the proposed strategy is verified by the greenhouse test system. The verification results show that the proposed algorithm has better performance than the conventional methods. The results also demonstrate that, by applying the proposed algorithm, the number of monitoring points and time consumption can reduce, while the valid monitoring region area is enlarged.

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Wireless Sensor Network With Perpetual Motes for Terrestrial Snail Activity Monitoring

Cited by 25 publications

References 13 publications

The Extreme Edge at the Bottom of the Internet of Things: A Review

The Extreme Edge at the Bottom of the Internet of Things: A Review

Exploiting cognitive wireless nodes for priority‐based data communication in terrestrial sensor networks

A Cloud-Assisted Region Monitoring Strategy of Mobile Robot in Smart Greenhouse

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