Resource allocation and sharing for heterogeneous data collection over conventional 3GPP LTE and emerging NB-IoT technologies

2018 ◽  
Vol 120 ◽  
pp. 93-101 ◽  
Author(s):  
Vyacheslav Begishev ◽  
Vitaly Petrov ◽  
Andrey Samuylov ◽  
Dmitri Moltchanov ◽  
Sergey Andreev ◽  
...  
Keyword(s):  
Resource Allocation ◽  
Data Collection ◽  
Heterogeneous Data ◽  
3Gpp Lte

Resource Allocation and Sharing for Transmission of Batched NB IoT Traffic Over 3GPP LTE

2019 ◽  
Author(s):  
Sergey Stepanov ◽  
Mikhail Stepanov ◽  
Ariunaa Tsogbadrakh ◽  
Juvent Ndayikunda ◽  
Umer Andrabi
Keyword(s):  
Resource Allocation ◽  
3Gpp Lte

scholarly journals UAV-Enabled Data Collection: Multiple Access, Trajectory Optimization, and Energy Trade-Off

2019 ◽  
Vol 2019 ◽  
pp. 1-14 ◽  
Author(s):  
Lin Xiao ◽  
Yipeng Liang ◽  
Chenfan Weng ◽  
Dingcheng Yang ◽  
Qingmin Zhao
Keyword(s):  
Resource Allocation ◽  
Data Collection ◽  
Unmanned Aerial Vehicle ◽  
Trajectory Optimization ◽  
Minimum Energy ◽  
Trajectory Design ◽  
Energy Trade ◽  
Significant Performance ◽  
Aerial Vehicle ◽  
Resource Allocation Scheme

In this paper, we consider a ground terminal (GT) to an unmanned aerial vehicle (UAV) wireless communication system where data from GTs are collected by an unmanned aerial vehicle. We propose to use the ground terminal-UAV (G-U) region for the energy consumption model. In particular, to fulfill the data collection task with a minimum energy both of the GTs and UAV, an algorithm that combines optimal trajectory design and resource allocation scheme is proposed which is supposed to solve the optimization problem approximately. We initialize the UAV’s trajectory firstly. Then, the optimal UAV trajectory and GT’s resource allocation are obtained by using the successive convex optimization and Lagrange duality. Moreover, we come up with an efficient algorithm aimed to find an approximate solution by jointly optimizing trajectory and resource allocation. Numerical results show that the proposed solution is efficient. Compared with the benchmark scheme which did not adopt optimizing trajectory, the solution we propose engenders significant performance in energy efficiency.

scholarly journals BUILDING A HERITAGE TOURISM DEVELOPMENT BLUEPRINT FOR BANGLADESH: AN EXPLORATIVE INVESTIGATION

2020 ◽  
Vol 7 (1) ◽  
pp. 51-57
Author(s):  
Ariful Islam ◽  
Sazali Abd Wahab
Keyword(s):  
Resource Allocation ◽  
Data Collection ◽  
Development Process ◽  
Heritage Tourism ◽  
Tourism Development ◽  
Structured Interview ◽  
Tourist Experience ◽  
Critical Issues ◽  
Effective Development

Purpose of the study: Bangladesh is blessed with all the possibility to be an imperative heritage destination on global premises, whereas there are a number of obstacles that can obstruct the effective development of the heritage tourism segment in the country. As a result, the present study targets to explore major issues that are critical in the development process of heritage tourism. Methodology: The study has organised 25 semi-structured interview procedures for data collection. The respondents are judgementally selected on the basis of their frequent tourism activities. Findings: The analysis has revealed some critical issues related to governance, institutional requirements, integration, and resource allocation. Application: The findings of the study can possibly help the authority to formulate a suitable strategy regarding the development of heritage tourism in Bangladesh. The outcomes of the study also serve a direction on how better tourist experience can be configured in the country's heritage destinations. Novelty/Originality of the study: The explorative nature of the investigation has the benefit of accumulating useful and insightful info about heritage tourism issues in Bangladesh comparing to what can obtain through quantitative testings. It is also one of the few attempts to identify and categorise the valuable heritage tourism products inside Bangladesh.

scholarly journals Understanding cost data collection tools to improve economic evaluations of health interventions

2019 ◽  
Vol 4 (4) ◽  
pp. 214-222 ◽  
Author(s):  
John M Chapel ◽  
Guijing Wang
Keyword(s):  
Resource Allocation ◽  
Data Collection ◽  
Health Interventions ◽  
Cost Data ◽  
Economic Evaluations ◽  
Cost Estimates ◽  
Practical Applications ◽  
Intervention Cost ◽  
Allocation Decisions ◽  
Resource Allocation Decisions

Micro-costing data collection tools often used in literature include standardized comprehensive templates, targeted questionnaires, activity logs, on-site administrative databases, and direct observation. These tools are not mutually exclusive and are often used in combination. Each tool has unique merits and limitations, and some may be more applicable than others under different circumstances. Proper application of micro-costing tools can produce quality cost estimates and enhance the usefulness of economic evaluations to inform resource allocation decisions. A common method to derive both fixed and variable costs of an intervention involves collecting data from the bottom up for each resource consumed (micro-costing). We scanned economic evaluation literature published in 2008-2018 and identified micro-costing data collection tools used. We categorized the identified tools and discuss their practical applications in an example study of health interventions, including their potential strengths and weaknesses. Sound economic evaluations of health interventions provide valuable information for justifying resource allocation decisions, planning for implementation, and enhancing the sustainability of the interventions. However, the quality of intervention cost estimates is seldom addressed in the literature. Reliable cost data forms the foundation of economic evaluations, and without reliable estimates, evaluation results, such as cost-effectiveness measures, could be misleading. In this project, we identified data collection tools often used to obtain reliable data for estimating costs of interventions that prevent and manage chronic conditions and considered practical applications to promote their use.

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