Energy Saving with Node Sleep and Power Control Mechanisms for Wireless Sensor Networks

doi:10.1016/S1005-8885(10)60027-1

Acta Metallurgica Sinica(English letters) ›› 2011, Vol. 18 ›› Issue (1): 49-59.doi: 10.1016/S1005-8885(10)60027-1

• Wireless • Previous Articles Next Articles

Energy Saving with Node Sleep and Power Control Mechanisms for Wireless Sensor Networks

De-Yun Gao

Received:2010-06-12 Revised:2010-11-05 Online:2011-02-28 Published:2011-02-28
Contact: De-Yun Gao E-mail:gdeyun@gmail.com
Supported by:
973 Project

Abstract

Abstract:

Energy efficiency sleep scheduling in wireless sensor networks is one of the most crucial technologies. In this paper, we propose a simple and feasible synchronous node sleeping and waking mechanisms for small scale wireless sensor networks. Sensor nodes are divided into forwarding nodes and listening nodes. Beacon frame containing sleep command from the coordinator can be forwarded to listening nodes via forwarding nodes. All the nodes in the network can enter sleep at about the same time. Through such network synchronization mechanisms, we can realize synchronous sleep and wake of the entire network. Furthermore, a new power control scheme based on routing protocol (PCBRP) in the medium access control (MAC) layer is proposed. It operates with the help of routing protocol and calculates optimal transmission power according to the distance between neighbor nodes. A mapping table including optimal transmission power and node address is established during the route building procedure. The transmission power can be obtained by searching the table with the address of next-hop neighbor in subsequent data transmissions. The proposed mechanisms are implemented in sensor nodes and are evaluated in a test-bed. The analysis and evaluation based on the experimental results confirm that the proposed energy-saving mechanisms are feasible and effective.

Key words:

wireless sensor network, energy-saving mechanism, synchronous sleep and wake, power control, micro sensor routing protocol

De-Yun Gao. Energy Saving with Node Sleep and Power Control Mechanisms for Wireless Sensor Networks[J]. Acta Metallurgica Sinica(English letters), 2011, 18(1): 49-59.

References

1. Coy P, Gross N. 21 ideas for the 21st century. Business Week, 199-08-30: 78-167

2. 10 emerging technologies that will change the world. MIT Technology Review, 2003, 106: 33-49

3. Yick J, Mukherjee B, Ghosal D. Wireless sensor network survey. Computer Networks, 2008, 52(12): 2292-2330

4. Cardei M, Thai M, Li Y, et al. Energy-efficient target coverage in wireless sensor networks. Proceedings of the 24th Annual Joint Conference of the IEEE Computer and Communications Societies (INFOCOM’05): Vol 3, Mar 13-17, 2005, Miami, FL, USA. Piscataway, NJ, USA: IEEE, 2005: 1976-1984

5. Chong C Y, Kumar S. Sensor networks: evolution, opportunities, and challenges. Proceedings of the IEEE, 2003, 91(8): 1247-1256

6. Chamam A, Pierre, S. Energy-efficient state scheduling for maximizing sensor network lifetime under coverage constraint. Proceedings of the 3rd IEEE International Conference on Wireless and Mobile Computing, Networking and Communications (WIMOB’07), Oct 8-10, 2007, White Plains, NY, USA. Piscataway, NJ, USA: IEEE, 2007: 63

7. Ye W, Heidemann J, Estrin D. An energy-efficient MAC protocol for wireless sensor networks. Proceedings of the 24th Annual Joint Conference of the IEEE Computer and Communications Societies (INFOCOM’05): Vol 3, Mar 13-17, 2005, Miami, FL, USA. Piscataway, NJ, USA: IEEE, 2005: 1567-1576

8. Cao Q, Abdelzaher T, He T, et al. Towards optimal sleep scheduling in sensor networks for rare-event detection. Proceedings of the 4th International Symposium on Information Processing in Sensor Networks (IPSN’05), Apr 25-27, 2005, Los Angeles, CA, USA. Los Alamitos, CA, USA: IEEE Computer Society, 2005: 20-27

9. Jiang B, Han K, Ravindran B, et al. Energy efficient sleep scheduling based on moving directions in target tracking sensor network. Proceedings of the 22nd IEEE International on Parallel and Distributed Processing Symposium (IPDPS’08), Apr 14-18, 2008, Miami, FL, USA. Los Alamitos, CA, USA: IEEE Computer Society, 2008: 1-10

10. Jeong J, Hwang T, He T, et al. MCTA: target tracking algorithm based on minimal contour in wireless sensor networks. Proceedings of the 26th IEEE International Conference on Computer Communications (INFOCOM’07), May 6-12, 2007, Anchorage, AK, USA. Piscataway, NJ, USA: IEEE, 2007: 2371-2375

11. Subramanian R, Fekri F. Sleep scheduling and lifetime maximization in sensor networks: Fundamental limits and optimal solutions. Proceedings of the 5th International Symposium on Information Processing in Sensor Networks (IPSN’06), Apr 19-21, 2006, Nashville, TN, USA. Los Alamitos, CA, USA: IEEE Computer Society, 2006: 218-225

12. Lin S, Zhang J, Zhou G, et al. ATPC: adaptive transmission power control for wireless sensor networks. Proceedings of the 4th International Conference on Embedded Networked Sensor Systems (SenSys’06), Oct 31-Nov 3, 2006, Boulder, CO, USA. New York, NY, USA: ACM, 2006: 223-236

13. Sha M, Xing G, Zhou G, et al. C-MAC: model-driven concurrent medium access control for wireless sensor networks. Proceedings of the 28th IEEE Conference on Computer Communications (INFOCOM’09), Apr 19-25, 2009, Rio de Janeiro, Brazil. Piscataway, NJ, USA: IEEE, 2009: 1845-1853

14. Gao T, Zheng T, Peng D, et al. A general multi-sensor node in wireless sensor networks. Proceedings of the 2009 IEEE International Conference on Communications Technology and Applications (ICCTA’09), Oct 16-18, 2009, Beijing, China. Piscataway, NJ, USA: IEEE Computer Society, 2009: 406-411

15. Gao D, Niu Y, Zhang H. Micro sensor routing protocol in IPv6 wireless sensor network. Proceedings of the 2009 IEEE International Conference on Networking, Sensing and Control (ICNSC’09), Mar 26-29, 2009, Okayama, Japan. Piscataway, NJ, USA: IEEE, 2009: 55-59

16. Chipcon. CC2420 2.4 GHz IEEE 802.15.4 / ZigBee-ready RF transceiver. http://www.chipcon.com/

1. Coy P, Gross N. 21 ideas for the 21st century. Business Week, 199-08-30: 78?167 2. 10 emerging technologies that will change the world. MIT Technology Review, 2003, 106: 33?49 3. Yick J, Mukherjee B, Ghosal D. Wireless sensor network survey. Computer Networks, 2008, 52(12): 2292?2330 4. Cardei M, Thai M, Li Y, et al. Energy-efficient target coverage in wireless sensor networks. Proceedings of the 24th Annual Joint Conference of the IEEE Computer and Communications Societies (INFOCOM’05): Vol 3, Mar 13?17, 2005, Miami, FL, USA. Piscataway, NJ, USA: IEEE, 2005: 1976?1984 5. Chong C Y, Kumar S. Sensor networks: evolution, opportunities, and challenges. Proceedings of the IEEE, 2003, 91(8): 1247?1256 6. Chamam A, Pierre, S. Energy-efficient state scheduling for maximizing sensor network lifetime under coverage constraint. Proceedings of the 3rd IEEE International Conference on Wireless and Mobile Computing, Networking and Communications (WIMOB’07), Oct 8?10, 2007, White Plains, NY, USA. Piscataway, NJ, USA: IEEE, 2007: 63 7. Ye W, Heidemann J, Estrin D. An energy-efficient MAC protocol for wireless sensor networks. Proceedings of the 24th Annual Joint Conference of the IEEE Computer and Communications Societies (INFOCOM’05): Vol 3, Mar 13?17, 2005, Miami, FL, USA. Piscataway, NJ, USA: IEEE, 2005: 1567?1576 8. Cao Q, Abdelzaher T, He T, et al. Towards optimal sleep scheduling in sensor networks for rare-event detection. Proceedings of the 4th International Symposium on Information Processing in Sensor Networks (IPSN’05), Apr 25?27, 2005, Los Angeles, CA, USA. Los Alamitos, CA, USA: IEEE Computer Society, 2005: 20?27 9. Jiang B, Han K, Ravindran B, et al. Energy efficient sleep scheduling based on moving directions in target tracking sensor network. Proceedings of the 22nd IEEE International on Parallel and Distributed Processing Symposium (IPDPS’08), Apr 14?18, 2008, Miami, FL, USA. Los Alamitos, CA, USA: IEEE Computer Society, 2008: 1?10 10. Jeong J, Hwang T, He T, et al. MCTA: target tracking algorithm based on minimal contour in wireless sensor networks. Proceedings of the 26th IEEE International Conference on Computer Communications (INFOCOM’07), May 6?12, 2007, Anchorage, AK, USA. Piscataway, NJ, USA: IEEE, 2007: 2371?2375 11. Subramanian R, Fekri F. Sleep scheduling and lifetime maximization in sensor networks: Fundamental limits and optimal solutions. Proceedings of the 5th International Symposium on Information Processing in Sensor Networks (IPSN’06), Apr 19?21, 2006, Nashville, TN, USA. Los Alamitos, CA, USA: IEEE Computer Society, 2006: 218?225 12. Lin S, Zhang J, Zhou G, et al. ATPC: adaptive transmission power control for wireless sensor networks. Proceedings of the 4th International Conference on Embedded Networked Sensor Systems (SenSys’06), Oct 31?Nov 3, 2006, Boulder, CO, USA. New York, NY, USA: ACM, 2006: 223?236 13. Sha M, Xing G, Zhou G, et al. C-MAC: model-driven concurrent medium access control for wireless sensor networks. Proceedings of the 28th IEEE Conference on Computer Communications (INFOCOM’09), Apr 19?25, 2009, Rio de Janeiro, Brazil. Piscataway, NJ, USA: IEEE, 2009: 1845?1853 14. Gao T, Zheng T, Peng D, et al. A general multi-sensor node in wireless sensor networks. Proceedings of the 2009 IEEE International Conference on Communications Technology and Applications (ICCTA’09), Oct 16?18, 2009, Beijing, China. Piscataway, NJ, USA: IEEE Computer Society, 2009: 406?411 15. Gao D, Niu Y, Zhang H. Micro sensor routing protocol in IPv6 wireless sensor network. Proceedings of the 2009 IEEE International Conference on Networking, Sensing and Control (ICNSC’09), Mar 26?29, 2009, Okayama, Japan. Piscataway, NJ, USA: IEEE, 2009: 55?59 16. Chipcon. CC2420 2.4 GHz IEEE 802.15.4 / ZigBee-ready RF transceiver. http://www.chipcon.com/

Metrics

Comments

Copyright © 2020 The Journal of China Universities of Posts and Telecommunications
　 Adress: P.O. Box 231,Beijing University of Posts and Telecommunications,10 Xi Tucheng Road,Beijing 100876,P.R.China　Post Code: 100081
Tel：86-010-62282493　Fax： 86-010-62283461　E-mail: jchupt@bupt.edu.cn
Support by: Beijing Magtech Co.Ltd

Energy Saving with Node Sleep and Power Control Mechanisms for Wireless Sensor Networks

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 0

Recommended Articles

Metrics

Comments