Joint optimization strategy of age of information and energy consumption for offloading and scheduling in WBAN
Both real-time physiological data transmission and reduced energy consumption are critical to wireless body area network (WBAN). A joint optimization strategy for offloading and scheduling was proposed to minimize the weighted sum of age of information (AoI) and energy consumption by determining whe...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2024-09-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2024148/ |
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| _version_ | 1841539186832703488 |
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| author | ZHANG Zheng XIE Xin BAI Tong LIN Jinzhao LI Zhangyong |
| author_facet | ZHANG Zheng XIE Xin BAI Tong LIN Jinzhao LI Zhangyong |
| author_sort | ZHANG Zheng |
| collection | DOAJ |
| description | Both real-time physiological data transmission and reduced energy consumption are critical to wireless body area network (WBAN). A joint optimization strategy for offloading and scheduling was proposed to minimize the weighted sum of age of information (AoI) and energy consumption by determining whether data should be processed at sensor nodes or the Sink. To handle the strong coupling between offloading and scheduling decisions, a two-layer Markov decision process (MDP) was used to approximate the optimal solution. A deep reinforcement learning (DRL) approach was introduced to address the dimensionality issue. Simulations show that the DRL strategy performs comparably to the MDP under various weight factors and frame lengths. Furthermore, as the number of sensor nodes increases, the DRL strategy reduces the weighted sum by 3.58% and 24.9% compared to RRG and EG strategies, respectively, and converges twice as fast as the MDP. |
| format | Article |
| id | doaj-art-455c891c67fc43c99099054926b460c7 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2024-09-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-455c891c67fc43c99099054926b460c72025-01-14T07:25:06ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2024-09-01459210073359309Joint optimization strategy of age of information and energy consumption for offloading and scheduling in WBANZHANG ZhengXIE XinBAI TongLIN JinzhaoLI ZhangyongBoth real-time physiological data transmission and reduced energy consumption are critical to wireless body area network (WBAN). A joint optimization strategy for offloading and scheduling was proposed to minimize the weighted sum of age of information (AoI) and energy consumption by determining whether data should be processed at sensor nodes or the Sink. To handle the strong coupling between offloading and scheduling decisions, a two-layer Markov decision process (MDP) was used to approximate the optimal solution. A deep reinforcement learning (DRL) approach was introduced to address the dimensionality issue. Simulations show that the DRL strategy performs comparably to the MDP under various weight factors and frame lengths. Furthermore, as the number of sensor nodes increases, the DRL strategy reduces the weighted sum by 3.58% and 24.9% compared to RRG and EG strategies, respectively, and converges twice as fast as the MDP.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2024148/wireless body area networkoffloading and schedulingage of informationenergy consumption |
| spellingShingle | ZHANG Zheng XIE Xin BAI Tong LIN Jinzhao LI Zhangyong Joint optimization strategy of age of information and energy consumption for offloading and scheduling in WBAN Tongxin xuebao wireless body area network offloading and scheduling age of information energy consumption |
| title | Joint optimization strategy of age of information and energy consumption for offloading and scheduling in WBAN |
| title_full | Joint optimization strategy of age of information and energy consumption for offloading and scheduling in WBAN |
| title_fullStr | Joint optimization strategy of age of information and energy consumption for offloading and scheduling in WBAN |
| title_full_unstemmed | Joint optimization strategy of age of information and energy consumption for offloading and scheduling in WBAN |
| title_short | Joint optimization strategy of age of information and energy consumption for offloading and scheduling in WBAN |
| title_sort | joint optimization strategy of age of information and energy consumption for offloading and scheduling in wban |
| topic | wireless body area network offloading and scheduling age of information energy consumption |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2024148/ |
| work_keys_str_mv | AT zhangzheng jointoptimizationstrategyofageofinformationandenergyconsumptionforoffloadingandschedulinginwban AT xiexin jointoptimizationstrategyofageofinformationandenergyconsumptionforoffloadingandschedulinginwban AT baitong jointoptimizationstrategyofageofinformationandenergyconsumptionforoffloadingandschedulinginwban AT linjinzhao jointoptimizationstrategyofageofinformationandenergyconsumptionforoffloadingandschedulinginwban AT lizhangyong jointoptimizationstrategyofageofinformationandenergyconsumptionforoffloadingandschedulinginwban |