Data Collection in Sensor-Cloud: A Systematic Literature Review

Abstract

The integration of cloud computing and Wireless Sensor Networks (WSNs) to create Sensorcloud helps in extending the data processing capability and storage capability of WSNs. Knowing how weak WSNs are with regards to communication ability, how to collect and upload sensory data to the cloud in limited time has become an issue in Sensor-cloud. In the last decade, with increasing interest by researchers in the domain, a considerable amount of research works have been conducted and published in the research domain. The main objective of this study is to systematically review the current research on data collection in Sensor-cloud. Hence, the study also aims at identifying, categorizing, and synthesizing important studies in the field of study. Accordingly, an evidence-based methodology is utilized in this study. By doing so,43 relevant studies were identified and retrieved to answer the formulated research questions. The systematic methodology offers a methodical and rigorous study selection and evaluation process that is repeatable and precise. The result shows that research on data collection in Sensor-cloud is relatively consistent with stable output in the last five years. Ten proposal contributions were identified with System, Framework, and Algorithm being the most used by the selected studies. In conclusion, key research challenges and future research directions were identified and discussed for researchers to propose effective solutions to the existing challenges. Although research on data collection in Sensor-cloud is gaining some traction in recent years, the works in the domain are not sufficient and concrete proposals are needed to improve data collection.

Condition-based multi-component maintenance decision support under degradation uncertainties

“…Wireless Sensor Networks (WSN), cloud computing, infrared thermography, advanced signal processing techniques, Internet of Things (IoT), Big Data analytics, augmented reality, etc.) are building the pave-way for more automated on-site data collection from the critical assets across different industries (Ali et al 2020;Alaswad and Xiang 2017;Daily and Peterson 2017;Paolanti et al 2018;Cachada et al 2018;Spendla et al 2017;Hashemian 2011). From the maintenance perspective, such development is very inspiring for the transition from traditional age-based maintenance to condition-based maintenance (CBM) where the true health condition of assets in a given environmental and operational setting is of interest instead of general failure histories of similar assets.…”

SmartWater: A Service-Oriented and Sensor Cloud-Based Framework for Smart Monitoring of Water Environments

“…The integration of sensors with cloud computing, as depicted in Figure 1, transforms the bottom layers as a cloud of sensors [45]. The motivation behind using Sensor-Cloud [46] lies in the numerous advantages that this promising technology offers in terms of large-scale data sharing and mining, cloud-based powerful and low-cost computational and storage resources, and automatic provisioning and supervision provided by virtualized sensor services. This highly scalable infrastructure not only enables the smart water management system to gather, filter, and aggregate water-related data, but also access, process, and store a huge volume of collected data, thanks to the computing capabilities offered by the cloud resources.…”

Extending CloudSim to simulate sensor networks

“…Furthermore, various works that attempt to enhance the infrastructure have followed, presenting its theoretical modeling. [2][3][4][5] Later, a multi-method for data delivery for a greener Sensor-Cloud infrastructure was also presented. 18,19 Another worthy work to mention focused on the sensor grouping to form the virtual sensors.…”

“…It also enables multiple end-users requesting a service to access the sensed data coming from cloud-registered sensors. [1][2][3] In traditional WSN, 3 the user itself is the owner, since the application programming interface (API) used in the development of applications accessing the sensing nodes is specified by the sensor's manufacturer, who requires to be aware of the sensor's API hardware and location. Sensor-Cloud infrastructure has introduced the virtualization concept by developing a sensor layer in the cloud, which enables the end-user to access the services of various WSNs deployed by different organizations, in different geographic areas, against certain fees, as if the sensor nodes were part of the hardware.…”