Balancing Long Lifetime and Satisfying Fairness in WBAN Using a Constrained Markov Decision Process
As an important part of the Internet of Things (IOT) and the special case of device-to-device (D2D) communication, wireless body area network (WBAN) gradually becomes the focus of attention. Since WBAN is a body-centered network, the energy of sensor nodes is strictly restrained since they are suppl...
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| Format: | Article |
| Language: | English |
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Wiley
2015-01-01
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| Series: | International Journal of Antennas and Propagation |
| Online Access: | http://dx.doi.org/10.1155/2015/657854 |
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| author | Yingqi Yin Fengye Hu Ling Cen Yu Du Lu Wang |
| author_facet | Yingqi Yin Fengye Hu Ling Cen Yu Du Lu Wang |
| author_sort | Yingqi Yin |
| collection | DOAJ |
| description | As an important part of the Internet of Things (IOT) and the special case of device-to-device (D2D) communication, wireless body area network (WBAN) gradually becomes the focus of attention. Since WBAN is a body-centered network, the energy of sensor nodes is strictly restrained since they are supplied by battery with limited power. In each data collection, only one sensor node is scheduled to transmit its measurements directly to the access point (AP) through the fading channel. We formulate the problem of dynamically choosing which sensor should communicate with the AP to maximize network lifetime under the constraint of fairness as a constrained markov decision process (CMDP). The optimal lifetime and optimal policy are obtained by Bellman equation in dynamic programming. The proposed algorithm defines the limiting performance in WBAN lifetime under different degrees of fairness constraints. Due to the defect of large implementation overhead in acquiring global channel state information (CSI), we put forward a distributed scheduling algorithm that adopts local CSI, which saves the network overhead and simplifies the algorithm. It was demonstrated via simulation that this scheduling algorithm can allocate time slot reasonably under different channel conditions to balance the performances of network lifetime and fairness. |
| format | Article |
| id | doaj-art-e316613a73b74001a5dfe1e16a6c8eb2 |
| institution | Kabale University |
| issn | 1687-5869 1687-5877 |
| language | English |
| publishDate | 2015-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Antennas and Propagation |
| spelling | doaj-art-e316613a73b74001a5dfe1e16a6c8eb22025-02-03T07:25:26ZengWileyInternational Journal of Antennas and Propagation1687-58691687-58772015-01-01201510.1155/2015/657854657854Balancing Long Lifetime and Satisfying Fairness in WBAN Using a Constrained Markov Decision ProcessYingqi Yin0Fengye Hu1Ling Cen2Yu Du3Lu Wang4College of Communication Engineering, Jilin University, Changchun 130022, ChinaCollege of Communication Engineering, Jilin University, Changchun 130022, ChinaInstitute for Infocomm Research, 138632, SingaporeCollege of Communication Engineering, Jilin University, Changchun 130022, ChinaCollege of Communication Engineering, Jilin University, Changchun 130022, ChinaAs an important part of the Internet of Things (IOT) and the special case of device-to-device (D2D) communication, wireless body area network (WBAN) gradually becomes the focus of attention. Since WBAN is a body-centered network, the energy of sensor nodes is strictly restrained since they are supplied by battery with limited power. In each data collection, only one sensor node is scheduled to transmit its measurements directly to the access point (AP) through the fading channel. We formulate the problem of dynamically choosing which sensor should communicate with the AP to maximize network lifetime under the constraint of fairness as a constrained markov decision process (CMDP). The optimal lifetime and optimal policy are obtained by Bellman equation in dynamic programming. The proposed algorithm defines the limiting performance in WBAN lifetime under different degrees of fairness constraints. Due to the defect of large implementation overhead in acquiring global channel state information (CSI), we put forward a distributed scheduling algorithm that adopts local CSI, which saves the network overhead and simplifies the algorithm. It was demonstrated via simulation that this scheduling algorithm can allocate time slot reasonably under different channel conditions to balance the performances of network lifetime and fairness.http://dx.doi.org/10.1155/2015/657854 |
| spellingShingle | Yingqi Yin Fengye Hu Ling Cen Yu Du Lu Wang Balancing Long Lifetime and Satisfying Fairness in WBAN Using a Constrained Markov Decision Process International Journal of Antennas and Propagation |
| title | Balancing Long Lifetime and Satisfying Fairness in WBAN Using a Constrained Markov Decision Process |
| title_full | Balancing Long Lifetime and Satisfying Fairness in WBAN Using a Constrained Markov Decision Process |
| title_fullStr | Balancing Long Lifetime and Satisfying Fairness in WBAN Using a Constrained Markov Decision Process |
| title_full_unstemmed | Balancing Long Lifetime and Satisfying Fairness in WBAN Using a Constrained Markov Decision Process |
| title_short | Balancing Long Lifetime and Satisfying Fairness in WBAN Using a Constrained Markov Decision Process |
| title_sort | balancing long lifetime and satisfying fairness in wban using a constrained markov decision process |
| url | http://dx.doi.org/10.1155/2015/657854 |
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