A Survey on Sensor-Cloud: Architecture, Applications, and Approaches

By Atif M. Alamri, W. S. Ansari, Mohammad Mehedi Hassan, M. Shamim Hossain, Abdulhameed Alelaiwi, M. A. Hossain. Int. J. Distributed Sens. Networks, 2013

419 citations recorded by the source corpus.

Nowadays, wireless sensor network (WSN) applications have been used in several important areas, such as healthcare, military, critical infrastructure monitoring, environment monitoring, and manufacturing. However, due to the limitations of WSNs in terms of memory, energy, computation, communication, and scalability, efficient management of the large number of WSNs data in these areas is an important issue to deal with. There is a need for a powerful and scalable high-performance computing and massive storage infrastructure for real-time processing and storing of the WSN data as well as analysis (online and offline) of the processed information under context using inherently complex models to extract events of interest. In this scenario, cloud computing is becoming a promising technology to provide a flexible stack of massive computing, storage, and software services in a scalable and virtualized manner at low cost. Therefore, in recent years, Sensor-Cloud infrastructure is becoming popular that can provide an open, flexible, and reconfigurable platform for several monitoring and controlling applications. In this paper, we present a comprehensive study of representative works on Sensor-Cloud infrastructure, which will provide general readers an overview of the Sensor-Cloud platform including its definition, architecture, and applications. The research challenges, existing solutions, and approaches as well as future research directions are also discussed in this paper.

Subfields: Computer Networks and Communications, Water Science and Technology

View Paper: https://www.semanticscholar.org/paper/e16cf0b0710ce5ef5d09b808a75c3b04fe19c7f1

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

In Water Science and Technology

Citations in the corpus

A survey on vehicular cloud computing (2014, neutral): “In the CC, MCC and Sensor-cloud architecture, a physical datacentre unit is in charge of performing the data computation and storage (Hossain, 2013), (Dinh, Lee, 2011).”
Wireless sensor networks for agriculture: The state-of-the-art in practice and future challenges (2015, background): “Sensor-cloud computing: sensor-cloud computing refers to the on-field WSN applications empowered with cloud computing (Ojha et al., 2014; Alamri et al., 2013; Zhu et al., 2014).”
Survey of RF Communications and Sensing Convergence Research (2017, background): “This topology extends to non-medical applications as well, encapsulating deeply embedded low power sensor applications [29].”
A review of Internet of Things for smart home: Challenges and solutions (2017, background): “The IoT Cloud (Alamri et al., 2013; Botta et al., 2016) will enable the long-time storage and complex analysis of this data.”
Iot-based smart cities: A survey (2016, background): “Wireless sensor network (WSN) WSNs can provide different suitable data and also may be used in many cases such as healthcare, government and environmental services and seismic sensing [10].”
Green Internet of Things for Smart World (2015, background): “OVERVIEW OF SENSOR-CLOUD Defined by IntelliSys,1 sensor-cloud is ‘‘an infrastructure that allows truly pervasive computation using sensors as an interface between physical and cyber worlds, the datacompute clusters as the cyber backbone and the internet as the communication medium’’ [13], [14].”