Green Internet of Things (IoT) with dynamic sleep wake-up approach for constrained things
Energy consumption has now become a big deal to ensure the dependability of the IoT. Therefore, minimization of energy consumption is the biggest challenge in IoT architecture. IoT devices are supported with constrained parameters like battery, memory as well as computing. This paper gives a depth a...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-02-01
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| Series: | Measurement: Sensors |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2665917422002902 |
| _version_ | 1811176101039308800 |
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| author | B. Raut Nitin N.M. Dhanya |
| author_facet | B. Raut Nitin N.M. Dhanya |
| author_sort | B. Raut Nitin |
| collection | DOAJ |
| description | Energy consumption has now become a big deal to ensure the dependability of the IoT. Therefore, minimization of energy consumption is the biggest challenge in IoT architecture. IoT devices are supported with constrained parameters like battery, memory as well as computing. This paper gives a depth analysis of battery-powered things and their green implementation with dynamic Sleep, Wake-up approach based on a decision-making process supported by highly specified data analysis. The proposed method is based on an Energy-Efficient Cluster Head-Based Sleep Scheduling Mechanism (ECHSSM) for efficient Sleep, Wake-up monitoring with dynamic changes in time duration. The architectural prototype for the application scenario for humidity and temperature is studied. The implementation of the model is done by the Cooja simulator. The effectiveness of the proposed strategy is examined using some parameters, such as the lifetime of the network, packet delivery ratio, energy consumption, battery level, and delay characteristic. The proposed technique improves the network lifetime by 11.95%, 7.59%, and 3.83% better than EEHC, LEACH, and cloud-IoT integrated models. |
| first_indexed | 2024-04-10T19:47:41Z |
| format | Article |
| id | doaj.art-b7672252da754cd9bc3294b7373d5ed5 |
| institution | Directory Open Access Journal |
| issn | 2665-9174 |
| language | English |
| last_indexed | 2024-04-10T19:47:41Z |
| publishDate | 2023-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Measurement: Sensors |
| spelling | doaj.art-b7672252da754cd9bc3294b7373d5ed52023-01-29T04:22:03ZengElsevierMeasurement: Sensors2665-91742023-02-0125100656Green Internet of Things (IoT) with dynamic sleep wake-up approach for constrained thingsB. Raut Nitin0N.M. Dhanya1Corresponding author.; Department of Computer Science and Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore, IndiaDepartment of Computer Science and Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore, IndiaEnergy consumption has now become a big deal to ensure the dependability of the IoT. Therefore, minimization of energy consumption is the biggest challenge in IoT architecture. IoT devices are supported with constrained parameters like battery, memory as well as computing. This paper gives a depth analysis of battery-powered things and their green implementation with dynamic Sleep, Wake-up approach based on a decision-making process supported by highly specified data analysis. The proposed method is based on an Energy-Efficient Cluster Head-Based Sleep Scheduling Mechanism (ECHSSM) for efficient Sleep, Wake-up monitoring with dynamic changes in time duration. The architectural prototype for the application scenario for humidity and temperature is studied. The implementation of the model is done by the Cooja simulator. The effectiveness of the proposed strategy is examined using some parameters, such as the lifetime of the network, packet delivery ratio, energy consumption, battery level, and delay characteristic. The proposed technique improves the network lifetime by 11.95%, 7.59%, and 3.83% better than EEHC, LEACH, and cloud-IoT integrated models.http://www.sciencedirect.com/science/article/pii/S2665917422002902Green internet of thingsSleep/wake-upData transmissionEnergy efficiencyAuthenticationData analysis |
| spellingShingle | B. Raut Nitin N.M. Dhanya Green Internet of Things (IoT) with dynamic sleep wake-up approach for constrained things Measurement: Sensors Green internet of things Sleep/wake-up Data transmission Energy efficiency Authentication Data analysis |
| title | Green Internet of Things (IoT) with dynamic sleep wake-up approach for constrained things |
| title_full | Green Internet of Things (IoT) with dynamic sleep wake-up approach for constrained things |
| title_fullStr | Green Internet of Things (IoT) with dynamic sleep wake-up approach for constrained things |
| title_full_unstemmed | Green Internet of Things (IoT) with dynamic sleep wake-up approach for constrained things |
| title_short | Green Internet of Things (IoT) with dynamic sleep wake-up approach for constrained things |
| title_sort | green internet of things iot with dynamic sleep wake up approach for constrained things |
| topic | Green internet of things Sleep/wake-up Data transmission Energy efficiency Authentication Data analysis |
| url | http://www.sciencedirect.com/science/article/pii/S2665917422002902 |
| work_keys_str_mv | AT brautnitin greeninternetofthingsiotwithdynamicsleepwakeupapproachforconstrainedthings AT nmdhanya greeninternetofthingsiotwithdynamicsleepwakeupapproachforconstrainedthings |