Selection and Ranking of Fog Computing-Based IoT for Monitoring of Health Using the Analytic Network Approach
Numerous raised areas are established in the field of fog computing (FC), applied for various purposes, and are evaluated for running analytics on various devices including devices of internet of things and many others in a disseminated way. FC progresses the prototype of cloud computing to network...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2021/9964303 |
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| _version_ | 1832561465135988736 |
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| author | Dong Xue Shah Nazir Zhiqiang Peng Hizbullah Khattak |
| author_facet | Dong Xue Shah Nazir Zhiqiang Peng Hizbullah Khattak |
| author_sort | Dong Xue |
| collection | DOAJ |
| description | Numerous raised areas are established in the field of fog computing (FC), applied for various purposes, and are evaluated for running analytics on various devices including devices of internet of things and many others in a disseminated way. FC progresses the prototype of cloud computing to network edge leading various possibilities and services. FC improves processing, decision, and intervention to take place through devices of IoT and communicate essential details. The idea of FC in healthcare based on frameworks of IoT is exploited by determining dispersed delegate layer of comprehension between the cloud and sensor hubs. The clouds suggested systems improved to overcome several challenges in ubiquitous frameworks of medical services such as energy efficiency, portability, adaptableness, and quality issues by accommodating right to take care of definite weights of the distant medical services group and sensor networks. The proposed research work has considered the analytic network process (ANP) for selection and ranking of FC-based IoT for health monitoring systems. The approach works in situation when complexity arises for health monitoring. Results of the study show the success of the research for facilitating healthcare. |
| format | Article |
| id | doaj-art-e8cbae24f98342e19387adf67c0de918 |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-e8cbae24f98342e19387adf67c0de9182025-02-03T01:25:02ZengWileyComplexity1076-27871099-05262021-01-01202110.1155/2021/99643039964303Selection and Ranking of Fog Computing-Based IoT for Monitoring of Health Using the Analytic Network ApproachDong Xue0Shah Nazir1Zhiqiang Peng2Hizbullah Khattak3Sichuan Tourism University, Chengdu 610100, ChinaDepartment of Computer Science, University of Swabi, Swabi, Khyber Pakhtunkhwa, PakistanSichuan Tourism University, Chengdu 610100, ChinaDepartment of Information Technology, Hazara University Mansehra, Mansehra, Khyber Pakhtunkhwa, PakistanNumerous raised areas are established in the field of fog computing (FC), applied for various purposes, and are evaluated for running analytics on various devices including devices of internet of things and many others in a disseminated way. FC progresses the prototype of cloud computing to network edge leading various possibilities and services. FC improves processing, decision, and intervention to take place through devices of IoT and communicate essential details. The idea of FC in healthcare based on frameworks of IoT is exploited by determining dispersed delegate layer of comprehension between the cloud and sensor hubs. The clouds suggested systems improved to overcome several challenges in ubiquitous frameworks of medical services such as energy efficiency, portability, adaptableness, and quality issues by accommodating right to take care of definite weights of the distant medical services group and sensor networks. The proposed research work has considered the analytic network process (ANP) for selection and ranking of FC-based IoT for health monitoring systems. The approach works in situation when complexity arises for health monitoring. Results of the study show the success of the research for facilitating healthcare.http://dx.doi.org/10.1155/2021/9964303 |
| spellingShingle | Dong Xue Shah Nazir Zhiqiang Peng Hizbullah Khattak Selection and Ranking of Fog Computing-Based IoT for Monitoring of Health Using the Analytic Network Approach Complexity |
| title | Selection and Ranking of Fog Computing-Based IoT for Monitoring of Health Using the Analytic Network Approach |
| title_full | Selection and Ranking of Fog Computing-Based IoT for Monitoring of Health Using the Analytic Network Approach |
| title_fullStr | Selection and Ranking of Fog Computing-Based IoT for Monitoring of Health Using the Analytic Network Approach |
| title_full_unstemmed | Selection and Ranking of Fog Computing-Based IoT for Monitoring of Health Using the Analytic Network Approach |
| title_short | Selection and Ranking of Fog Computing-Based IoT for Monitoring of Health Using the Analytic Network Approach |
| title_sort | selection and ranking of fog computing based iot for monitoring of health using the analytic network approach |
| url | http://dx.doi.org/10.1155/2021/9964303 |
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