Reliable Gamma-Interconnection Network for Data Analysis in Sensor Networks: Design and Performance Evaluation
In today’s era of high speed 5G internet all electronic sensor networks are connected through IoT. Bank transactions are digitized, people can access any data through their mobile phones, organizations and companies handle their projects through online meetings etc. Military and medical surveillance...
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| Format: | Article |
| Language: | English |
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IOP Publishing
2023-01-01
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| Series: | ECS Sensors Plus |
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| Online Access: | https://doi.org/10.1149/2754-2726/acf328 |
| _version_ | 1797687305009364992 |
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| author | Shilpa Gupta |
| author_facet | Shilpa Gupta |
| author_sort | Shilpa Gupta |
| collection | DOAJ |
| description | In today’s era of high speed 5G internet all electronic sensor networks are connected through IoT. Bank transactions are digitized, people can access any data through their mobile phones, organizations and companies handle their projects through online meetings etc. Military and medical surveillance, navy navigation, weapon controlling, weather forecasting etc. involve big data analysis collected from sensors, that too at a very high speed with reliable results. This requires large number of parallel processors connected with huge Bank of memory modules to store big data. Reliable interconnection network is needed to connect these large number of parallel processors and memory modules efficiently hence Multistage Interconnection Networks (MINs) come into play, as they provide highly reliable communication for big data transfer between processors and memory modules whenever required. In this manuscript a new network named Reliable Gamma-interconnection Network (RGN) is introduced which possesses multiple paths between processors and memory modules with two totally disjoint path availability. It provides high reliability and minimum path distance between source node to destination node than other gamma networks known, with the minimum hardware complexity. Reliability estimation and evaluation of RGN has been presented in this paper and comparison of results achieved with other gamma networks has been done for validation purpose. |
| first_indexed | 2024-03-12T01:16:19Z |
| format | Article |
| id | doaj.art-1ba099775222493395bde8c25a8cd71f |
| institution | Directory Open Access Journal |
| issn | 2754-2726 |
| language | English |
| last_indexed | 2024-03-12T01:16:19Z |
| publishDate | 2023-01-01 |
| publisher | IOP Publishing |
| record_format | Article |
| series | ECS Sensors Plus |
| spelling | doaj.art-1ba099775222493395bde8c25a8cd71f2023-09-13T11:16:39ZengIOP PublishingECS Sensors Plus2754-27262023-01-012303480110.1149/2754-2726/acf328Reliable Gamma-Interconnection Network for Data Analysis in Sensor Networks: Design and Performance EvaluationShilpa Gupta0https://orcid.org/0000-0002-0848-3954Associate Professor, Maharaja Agrasen University , Baddi, Himachal Pradesh, IndiaIn today’s era of high speed 5G internet all electronic sensor networks are connected through IoT. Bank transactions are digitized, people can access any data through their mobile phones, organizations and companies handle their projects through online meetings etc. Military and medical surveillance, navy navigation, weapon controlling, weather forecasting etc. involve big data analysis collected from sensors, that too at a very high speed with reliable results. This requires large number of parallel processors connected with huge Bank of memory modules to store big data. Reliable interconnection network is needed to connect these large number of parallel processors and memory modules efficiently hence Multistage Interconnection Networks (MINs) come into play, as they provide highly reliable communication for big data transfer between processors and memory modules whenever required. In this manuscript a new network named Reliable Gamma-interconnection Network (RGN) is introduced which possesses multiple paths between processors and memory modules with two totally disjoint path availability. It provides high reliability and minimum path distance between source node to destination node than other gamma networks known, with the minimum hardware complexity. Reliability estimation and evaluation of RGN has been presented in this paper and comparison of results achieved with other gamma networks has been done for validation purpose.https://doi.org/10.1149/2754-2726/acf328sensor networksmultistage interconnection networks (min)gamma networkreliabilityreliable gamma-interconnection network (rgn)parallel computing. |
| spellingShingle | Shilpa Gupta Reliable Gamma-Interconnection Network for Data Analysis in Sensor Networks: Design and Performance Evaluation ECS Sensors Plus sensor networks multistage interconnection networks (min) gamma network reliability reliable gamma-interconnection network (rgn) parallel computing. |
| title | Reliable Gamma-Interconnection Network for Data Analysis in Sensor Networks: Design and Performance Evaluation |
| title_full | Reliable Gamma-Interconnection Network for Data Analysis in Sensor Networks: Design and Performance Evaluation |
| title_fullStr | Reliable Gamma-Interconnection Network for Data Analysis in Sensor Networks: Design and Performance Evaluation |
| title_full_unstemmed | Reliable Gamma-Interconnection Network for Data Analysis in Sensor Networks: Design and Performance Evaluation |
| title_short | Reliable Gamma-Interconnection Network for Data Analysis in Sensor Networks: Design and Performance Evaluation |
| title_sort | reliable gamma interconnection network for data analysis in sensor networks design and performance evaluation |
| topic | sensor networks multistage interconnection networks (min) gamma network reliability reliable gamma-interconnection network (rgn) parallel computing. |
| url | https://doi.org/10.1149/2754-2726/acf328 |
| work_keys_str_mv | AT shilpagupta reliablegammainterconnectionnetworkfordataanalysisinsensornetworksdesignandperformanceevaluation |