Scheduling and Power Control for Energy-Optimality of Low Duty Cycled Sensor Networks
The main limitation of operating sensor networks autonomously is the finite battery capacity of sensor nodes. Sensors are usually operated at low duty cycle; that is, they remain in active mode for short duration of time, in order to prolong the network lifetime. However, operating at low duty cycle...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Hindawi - SAGE Publishing
2015-05-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1155/2015/432978 |
| _version_ | 1797726920895365120 |
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| author | Nursen Aydin Mehmet Karaca Ozgur Ercetin |
| author_facet | Nursen Aydin Mehmet Karaca Ozgur Ercetin |
| author_sort | Nursen Aydin |
| collection | DOAJ |
| description | The main limitation of operating sensor networks autonomously is the finite battery capacity of sensor nodes. Sensors are usually operated at low duty cycle; that is, they remain in active mode for short duration of time, in order to prolong the network lifetime. However, operating at low duty cycle may result in significant performance degradation in system operation. Hence, in this work, we quantitatively investigate the tradeoff between the duty cyle and network performance. Specifically, we address the design of efficient channel access protocol, by developing a scheduling algorithm based on well known Lyapunov optimization framework. Our proposed policy dynamically schedules transmissions of sensor nodes and their sleep cycles by taking into account the time-varying channel state information, traffic arrivals, and energy consumptions due to switching between operational modes. We analytically show that our policy is energy optimal in the sense that it achieves an energy consumption which is arbitrarily close to the global minimum solution. We use simulations to confirm our results. |
| first_indexed | 2024-03-12T10:52:23Z |
| format | Article |
| id | doaj.art-4a2e0a3e82b1467e8c2b0a4f3a7f2489 |
| institution | Directory Open Access Journal |
| issn | 1550-1477 |
| language | English |
| last_indexed | 2024-03-12T10:52:23Z |
| publishDate | 2015-05-01 |
| publisher | Hindawi - SAGE Publishing |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj.art-4a2e0a3e82b1467e8c2b0a4f3a7f24892023-09-02T06:49:04ZengHindawi - SAGE PublishingInternational Journal of Distributed Sensor Networks1550-14772015-05-011110.1155/2015/432978432978Scheduling and Power Control for Energy-Optimality of Low Duty Cycled Sensor NetworksNursen Aydin0Mehmet Karaca1Ozgur Ercetin2 Faculty of Engineering and Natural Sciences, Sabanci University, Orhanli-Tuzla, 34956 Istanbul, Turkey AirTies Wireless Networks, 34394 Istanbul, Turkey Faculty of Engineering and Natural Sciences, Sabanci University, Orhanli-Tuzla, 34956 Istanbul, TurkeyThe main limitation of operating sensor networks autonomously is the finite battery capacity of sensor nodes. Sensors are usually operated at low duty cycle; that is, they remain in active mode for short duration of time, in order to prolong the network lifetime. However, operating at low duty cycle may result in significant performance degradation in system operation. Hence, in this work, we quantitatively investigate the tradeoff between the duty cyle and network performance. Specifically, we address the design of efficient channel access protocol, by developing a scheduling algorithm based on well known Lyapunov optimization framework. Our proposed policy dynamically schedules transmissions of sensor nodes and their sleep cycles by taking into account the time-varying channel state information, traffic arrivals, and energy consumptions due to switching between operational modes. We analytically show that our policy is energy optimal in the sense that it achieves an energy consumption which is arbitrarily close to the global minimum solution. We use simulations to confirm our results.https://doi.org/10.1155/2015/432978 |
| spellingShingle | Nursen Aydin Mehmet Karaca Ozgur Ercetin Scheduling and Power Control for Energy-Optimality of Low Duty Cycled Sensor Networks International Journal of Distributed Sensor Networks |
| title | Scheduling and Power Control for Energy-Optimality of Low Duty Cycled Sensor Networks |
| title_full | Scheduling and Power Control for Energy-Optimality of Low Duty Cycled Sensor Networks |
| title_fullStr | Scheduling and Power Control for Energy-Optimality of Low Duty Cycled Sensor Networks |
| title_full_unstemmed | Scheduling and Power Control for Energy-Optimality of Low Duty Cycled Sensor Networks |
| title_short | Scheduling and Power Control for Energy-Optimality of Low Duty Cycled Sensor Networks |
| title_sort | scheduling and power control for energy optimality of low duty cycled sensor networks |
| url | https://doi.org/10.1155/2015/432978 |
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