Sensor Cloud Frameworks: State-of-the-Art, Taxonomy, and Research Issues

被引:36
作者
Haseeb-Ur-Rehman, Rana M. Abdul [1 ]
Liaqat, Misbah [2 ]
Aman, Azana Hafizah Mohd [1 ]
Ab Hamid, Siti Hafizah [3 ]
Ali, Rana Liaqat [4 ]
Shuja, Junaid [5 ]
Khan, Muhammad Khurram [6 ]
机构
[1] Univ Kebangsaan Malaysia, Fac Informat Sci & Technol, Bangi 43600, Malaysia
[2] Univ Jeddah, Coll Comp & Informat Technol Khulais, Dept Informat Technol, Jeddah 21959, Saudi Arabia
[3] Univ Malaya, Fac Comp Sci & Informat Technol, Dept Software Engn, Kuala Lumpur 50603, Malaysia
[4] COMSATS Univ Islamabad, Dept Phys, Islamabad 45550, Pakistan
[5] COMSATS Univ Islamabad, Dept Comp Sci, Abbottabad Campus, Abbottabad 22060, Pakistan
[6] King Saud Univ, Ctr Excellence Informat Assurance CoEIA, Riyadh 11451, Saudi Arabia
关键词
Cloud computing; Sensors; Wireless sensor networks; Sensor systems; Sensor phenomena and characterization; Monitoring; Wireless communication; cloud computing; sensor cloud; heterogeneity; quality of service; SECURITY ISSUES; BIG DATA; SERVICE; NETWORK; AWARE; ARCHITECTURE; ALGORITHM; PROTOCOL; INTERNET; MODEL;
D O I
10.1109/JSEN.2021.3090967
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In recent times, Wireless Sensor Network (WSN) technology has received significant attention owing to its numerous applications in various mission critical services, such as healthcare, military monitoring, public safety systems, and forest monitoring. However, sensor node's low computational power and inadequate advancements in battery design hinder resource-rigorous applications from fully exploiting WSN capabilities. The trend of shifting computations and storage to remote clouds offers the opportunity to integrate WSNs into the cloud to mitigate their limitations. The Sensor Cloud augments WSN capabilities of remote sensing and monitoring while exploiting resource-rich cloud infrastructure. To date, numerous solutions have been proposed to handle the integration concerns of WSNs with the cloud. However, a comprehensive study that covers various Sensor Cloud aspects in terms of architecture, network dynamics, heterogeneity, communication patterns, data management, and security, is still lacking. To fill this gap, state-of-the-art sensor cloud integration frameworks are analyzed in this article. Moreover, a detailed thematic taxonomy is presented to classify existing sensor cloud frameworks while focusing in service oriented and client server architectures. Related features and critical aspects of existing frameworks are inspected through a qualitative analysis based on the parameters selected from the literature and extracted from the taxonomy. Several research opportunities in this research domain are suggested to assist researchers in identifying and designing optimal resource sensor cloud integration frameworks to host emerging applications.
引用
收藏
页码:22347 / 22370
页数:24
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