Arising Issues In Wireless Sensor Networks: Current Proposals And Future Developments

Maqbool, Saima

doi:10.9790/0661-0865673

Cited by 5 publications

(2 citation statements)

References 59 publications

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“…Land surveying and inspection tasks conducted by RPAs produce large-sized images/videos and, consequently, require a reliable and efficient transferring platform and storage process (Irizarry and Costa, 2016; Han and Golparvar-Fard, 2017). Typical methods are wireless platforms such as MICA, MICA2, MICAz or Imote2 for sending real-time data to a host base station (Kurata et al , 2005; Lynch and Loh, 2006; Maqbool and Sabeel, 2013). Loss of such a large volume of data is a major concern in wireless transferring platforms where the range of data loss may vary between 30 and 50 per cent (Yang and Nagarajaiah, 2017).…”

Section: Barriers To Adoption Of Rpasmentioning

confidence: 99%

Barriers to adoption of RPAs on construction projects: a task–technology fit perspective

Golizadeh

Hosseini

Edwards

et al. 2019

Construction Innovation

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Purpose-Extant literature extensively articulates the advantages of using remotely piloted aircrafts (RPAs) in a myriad of construction activities. Yet, the barriers that hinder their wider adoption on construction projects have received scant academic attention. This study aims at addressing this gap in the literature. Design/methodology/approach-This study reviews 59 papers published on the use of RPAs for construction activities and offers an evaluation of barriers to widespread adoption throughout the sector. Findings-Barriers are identified, collated and categorized into five thematic groups, namely, technical difficulties, restrictive regulatory environment, site-related problems, weather and organizational barriers. Practical implications-The paper contributes to knowledge by: signposting a need for reordering priorities when defining future research on RPAs, suggesting measures to address the barriers identified and providing pragmatic guidance for construction companies intending to use RPAs on their projects. Originality/value-Using the task-technology fit theory, the study uncovers that current RPA technology is an under-fit match for construction activities and represents a prominent barrier to adoption. This is a dissenting finding, given that past studies on RPAs have primarily focused upon addressing public acceptance, concerns and societal consequences. Enablers of the identified barriers are also collated from extant literature and contemporary practice and encapsulated in a conceptual model.

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Section: Barriers To Adoption Of Rpasmentioning

confidence: 99%

Barriers to adoption of RPAs on construction projects: a task–technology fit perspective

Golizadeh

Hosseini

Edwards

et al. 2019

Construction Innovation

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“…On one hand, high-end local measurement point remains expensive but is not able to assess the heterogeneity of soil moisture in a field. On the other hand, a network of sensors (see for example [8]) requires time for installation and maintenance and data management and the system may fail (faulty sensor, incorrect calibration, saving or transfer of data and energy problem with nodes) [9,10].…”

Section: Introductionmentioning

confidence: 99%

Potential for the Detection of Irrigation Events on Maize Plots Using Sentinel-1 Soil Moisture Products

et al. 2020

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Although the real timing and flow rates used for crop irrigation are controlled at the scale of individual plots by the irrigator, they are not generally known by the farm upper management. This information is nevertheless essential, not only to compute the water balance of irrigated plots and to schedule irrigation, but also for the management of water resources at regional scales. The aim of the present study was to detect irrigation timing using time series of surface soil moisture (SSM) derived from Sentinel-1 radar observations. The method consisted of assessing the direction of change of surface soil moisture (SSM) between observations and a water balance model, and to use thresholds to be calibrated. The performance of the approach was assessed on the F-score quantifying the accuracy of the irrigation event detections and ranging from 0 (none of the irrigation timing is correct) to 100 (perfect irrigation detection). The study focused on five irrigated and one rainfed plot of maize in South-West France, where the approach was tested using in situ measurements and surface soil moisture (SSM) maps derived from Sentinel-1 radar data. The use of in situ data showed that (1) irrigation timing was detected with a good accuracy (F-score in the range (80–83) for all plots) and (2) the optimal revisit time between two SSM observations was 2–4 days. The higher uncertainties of microwave SSM products, especially when the crop is well developed (normalized difference of vegetation index (NDVI) > 0.7), degraded the score (F-score = 69), but various possibilities of improvement were discussed. This paper opens perspectives for the irrigation detection at the plot scale over large areas and thus for the improvement of irrigation water management.

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A new multi-objective distributed fuzzy clustering algorithm for wireless sensor networks with mobile gateways

Abdolkarimi

Adabi

Sharifi

2018

AEU - International Journal of Electronics and Communications

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Arising Issues In Wireless Sensor Networks: Current Proposals And Future Developments

Cited by 5 publications

References 59 publications

Barriers to adoption of RPAs on construction projects: a task–technology fit perspective

Barriers to adoption of RPAs on construction projects: a task–technology fit perspective

Potential for the Detection of Irrigation Events on Maize Plots Using Sentinel-1 Soil Moisture Products

A new multi-objective distributed fuzzy clustering algorithm for wireless sensor networks with mobile gateways

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