Scheduling and Power Control for Energy-Optimality of Low Duty Cycled Sensor Networks
(2015) In International Journal of Distributed Sensor Networks 2015.- Abstract
- 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... (More)
- 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. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/639be662-386b-496e-b457-feaee78f7c87
- author
- Aydin, Nursen ; Karaca, Mehmet LU and Ercetin, Ozgur
- publishing date
- 2015
- type
- Contribution to journal
- publication status
- published
- subject
- in
- International Journal of Distributed Sensor Networks
- volume
- 2015
- article number
- 432978
- pages
- 11 pages
- publisher
- SAGE Publications
- external identifiers
-
- scopus:84930629934
- ISSN
- 1550-1477
- DOI
- 10.1155/2015/432978
- project
- ELLIIT LU P01: WP2 Networking solutions
- language
- English
- LU publication?
- no
- id
- 639be662-386b-496e-b457-feaee78f7c87
- date added to LUP
- 2016-05-12 12:38:09
- date last changed
- 2022-01-30 03:27:14
@article{639be662-386b-496e-b457-feaee78f7c87,
abstract = {{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.}},
author = {{Aydin, Nursen and Karaca, Mehmet and Ercetin, Ozgur}},
issn = {{1550-1477}},
language = {{eng}},
publisher = {{SAGE Publications}},
series = {{International Journal of Distributed Sensor Networks}},
title = {{Scheduling and Power Control for Energy-Optimality of Low Duty Cycled Sensor Networks}},
url = {{http://dx.doi.org/10.1155/2015/432978}},
doi = {{10.1155/2015/432978}},
volume = {{2015}},
year = {{2015}},
}