Energy-Efficient AP Selection Using Intelligent Access Point System to Increase the Lifespan of IoT Devices
With the emergence of various Internet of Things (IoT) technologies, energy-saving schemes for IoT devices have been rapidly developed. To enhance the energy efficiency of IoT devices in crowded environments with multiple overlapping cells, the selection of access points (APs) for IoT devices should...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-05-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/23/11/5197 |
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| author | Seungjin Lee Jaeeun Park Hyungwoo Choi Hyeontaek Oh |
| author_facet | Seungjin Lee Jaeeun Park Hyungwoo Choi Hyeontaek Oh |
| author_sort | Seungjin Lee |
| collection | DOAJ |
| description | With the emergence of various Internet of Things (IoT) technologies, energy-saving schemes for IoT devices have been rapidly developed. To enhance the energy efficiency of IoT devices in crowded environments with multiple overlapping cells, the selection of access points (APs) for IoT devices should consider energy conservation by reducing unnecessary packet transmission activities caused by collisions. Therefore, in this paper, we present a novel energy-efficient AP selection scheme using reinforcement learning to address the problem of unbalanced load that arises from biased AP connections. Our proposed method utilizes the Energy and Latency Reinforcement Learning (EL-RL) model for energy-efficient AP selection that takes into account the average energy consumption and the average latency of IoT devices. In the EL-RL model, we analyze the collision probability in Wi-Fi networks to reduce the number of retransmissions that induces more energy consumption and higher latency. According to the simulation, the proposed method achieves a maximum improvement of <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>53</mn><mo>%</mo></mrow></semantics></math></inline-formula> in energy efficiency, <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>50</mn><mo>%</mo></mrow></semantics></math></inline-formula> in uplink latency, and a <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>2.1</mn></mrow></semantics></math></inline-formula>-times longer expected lifespan of IoT devices compared to the conventional AP selection scheme. |
| first_indexed | 2024-03-11T02:57:07Z |
| format | Article |
| id | doaj.art-d28714032bda4add8a69f767c1ee01cd |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-11T02:57:07Z |
| publishDate | 2023-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-d28714032bda4add8a69f767c1ee01cd2023-11-18T08:33:54ZengMDPI AGSensors1424-82202023-05-012311519710.3390/s23115197Energy-Efficient AP Selection Using Intelligent Access Point System to Increase the Lifespan of IoT DevicesSeungjin Lee0Jaeeun Park1Hyungwoo Choi2Hyeontaek Oh3Institute for IT Convergence, Korea Advanced Institute of Science and Technology (KAIST), 291 Daehak-ro, Yuseong-gu, Daejeon 34141, Republic of KoreaSchool of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), 291 Daehak-ro, Yuseong-gu, Daejeon 34141, Republic of KoreaSchool of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), 291 Daehak-ro, Yuseong-gu, Daejeon 34141, Republic of KoreaInstitute for IT Convergence, Korea Advanced Institute of Science and Technology (KAIST), 291 Daehak-ro, Yuseong-gu, Daejeon 34141, Republic of KoreaWith the emergence of various Internet of Things (IoT) technologies, energy-saving schemes for IoT devices have been rapidly developed. To enhance the energy efficiency of IoT devices in crowded environments with multiple overlapping cells, the selection of access points (APs) for IoT devices should consider energy conservation by reducing unnecessary packet transmission activities caused by collisions. Therefore, in this paper, we present a novel energy-efficient AP selection scheme using reinforcement learning to address the problem of unbalanced load that arises from biased AP connections. Our proposed method utilizes the Energy and Latency Reinforcement Learning (EL-RL) model for energy-efficient AP selection that takes into account the average energy consumption and the average latency of IoT devices. In the EL-RL model, we analyze the collision probability in Wi-Fi networks to reduce the number of retransmissions that induces more energy consumption and higher latency. According to the simulation, the proposed method achieves a maximum improvement of <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>53</mn><mo>%</mo></mrow></semantics></math></inline-formula> in energy efficiency, <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>50</mn><mo>%</mo></mrow></semantics></math></inline-formula> in uplink latency, and a <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>2.1</mn></mrow></semantics></math></inline-formula>-times longer expected lifespan of IoT devices compared to the conventional AP selection scheme.https://www.mdpi.com/1424-8220/23/11/5197AP selectionenergy efficiencylatencyinternet of thingsreinforcement learning |
| spellingShingle | Seungjin Lee Jaeeun Park Hyungwoo Choi Hyeontaek Oh Energy-Efficient AP Selection Using Intelligent Access Point System to Increase the Lifespan of IoT Devices Sensors AP selection energy efficiency latency internet of things reinforcement learning |
| title | Energy-Efficient AP Selection Using Intelligent Access Point System to Increase the Lifespan of IoT Devices |
| title_full | Energy-Efficient AP Selection Using Intelligent Access Point System to Increase the Lifespan of IoT Devices |
| title_fullStr | Energy-Efficient AP Selection Using Intelligent Access Point System to Increase the Lifespan of IoT Devices |
| title_full_unstemmed | Energy-Efficient AP Selection Using Intelligent Access Point System to Increase the Lifespan of IoT Devices |
| title_short | Energy-Efficient AP Selection Using Intelligent Access Point System to Increase the Lifespan of IoT Devices |
| title_sort | energy efficient ap selection using intelligent access point system to increase the lifespan of iot devices |
| topic | AP selection energy efficiency latency internet of things reinforcement learning |
| url | https://www.mdpi.com/1424-8220/23/11/5197 |
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