|
ABSTRACT
In wireless sensor networks, energy efficiency is crucial to achieve satisfactory network lifetime. In order to reduce the energy consumption of a node significantly, its radio needs to be turned off. Yet, some nodes have to participate in multi-hop packet forwarding. We tackle this issue by exploiting two degrees of freedom in topology management: the path setup latency and the network density. First, we propose a new technique called Sparse Topology and Energy Management (STEM), which aggressively puts nodes to sleep. It provides a method to wake up nodes only when they need to forward data, where latency is traded off for energy savings. Second, STEM integrates efficiently with existing approaches that leverage the fact that nearby nodes can be equivalent for traffic forwarding. In this case, an increased network density results in more energy savings. We analyze a hybrid scheme, which takes advantage of both setup latency and network density to increase the nodes' lifetime. Our results show improvements of nearly two orders of magnitude compared to sensor networks without topology management.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
| |
1
|
K. Sohrabi, J. Gao, V. Ailawadhi, G. Pottie, "Protocols for self-organization of a wireless sensor network," IEEE Personal Communications Magazine, Vol.7, No.5, pp. 16--27, Oct. 2000.
|
| |
2
|
L. Clare, G. Pottie, J. Agre, "Self-organizing distributed sensor networks," SPIE - The International Society for Optical Engineering, Orlando, FL, pp. 229--237, April 1999.
|
 |
3
|
Deborah Estrin , Ramesh Govindan , John Heidemann , Satish Kumar, Next century challenges: scalable coordination in sensor networks, Proceedings of the 5th annual ACM/IEEE international conference on Mobile computing and networking, p.263-270, August 15-19, 1999, Seattle, Washington, United States
[doi> 10.1145/313451.313556]
|
 |
4
|
|
 |
5
|
|
 |
6
|
|
| |
7
|
J.-H. Chang, L. Tassiulas, "Energy conserving routing in wireless ad-hoc networks," INFOCOM 2000, Tel Aviv, Israel, pp. 22--31,March 2000.
|
| |
8
|
|
| |
9
|
|
| |
10
|
C. Guo, L. Zhong, J. Rabaey, "Low-power distributed MAC for ad hoc sensor radio networks," Globecom'01, San Antonio, TX, Nov 2001.
|
| |
11
|
Sensoria Corporation, http://www.sensoria.com/.
|
| |
12
|
Rajive Bagrodia , Richard Meyer , Mineo Takai , Yu-an Chen , Xiang Zeng , Jay Martin , Ha Yoon Song, Parsec: A Parallel Simulation Environment for Complex Systems, Computer, v.31 n.10, p.77-85, October 1998
[doi> 10.1109/2.722293]
|
| |
13
|
|
 |
14
|
|
| |
15
|
"ASH Transceiver Designer's Guide," http://www.rfm.com.
|
CITED BY 50
|
|
|
|
|
|
|
|
F. Koushanfar , A. Davare , D. T. Nguyen , M. Potkonjak , A. Sangiovanni-Vincentelli, Low power coordination in wireless ad-hoc networks, Proceedings of the 2003 international symposium on Low power electronics and design, August 25-27, 2003, Seoul, Korea
|
|
|
|
|
|
Jianping Pan , Y. Thomas Hou , Lin Cai , Yi Shi , Sherman X. Shen, Topology control for wireless sensor networks, Proceedings of the 9th annual international conference on Mobile computing and networking, September 14-19, 2003, San Diego, CA, USA
|
|
|
|
|
|
L. Orecchia , A. Panconesi , C. Petrioli , A. Vitaletti, Localized techniques for broadcasting in wireless sensor networks, Proceedings of the 2004 joint workshop on Foundations of mobile computing, October 01-01, 2004, Philadelphia, PA, USA
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Han Namgoong , Dongman Lee , Dukyun Nam, Energy efficient topology for wireless microsensor networks, Proceedings of the 2nd ACM international workshop on Performance evaluation of wireless ad hoc, sensor, and ubiquitous networks, October 10-13, 2005, Montreal, Quebec, Canada
|
|
|
Geoffrey Werner-Allen , Geetika Tewari , Ankit Patel , Matt Welsh , Radhika Nagpal, Firefly-inspired sensor network synchronicity with realistic radio effects, Proceedings of the 3rd international conference on Embedded networked sensor systems, November 02-04, 2005, San Diego, California, USA
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Qinru Qiu , Qing Wu , Daniel Burns , Douglas Holzhauer, Lifetime aware resource management for sensor network using distributed genetic algorithm, Proceedings of the 2006 international symposium on Low power electronics and design, October 04-06, 2006, Tegernsee, Bavaria, Germany
|
|
|
H. Jun , W. Zhao , M. H. Ammar , E. W. Zegura , C. Lee, Trading latency for energy in densely deployed wireless ad hoc networks using message ferrying, Ad Hoc Networks, v.5 n.4, p.444-461, May, 2007
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Hyewon Jun , Mostafa H. Ammar , Mark D. Corner , Ellen W. Zegura, Hierarchical power management in disruption tolerant networks with traffic-aware optimization, Proceedings of the 2006 SIGCOMM workshop on Challenged networks, p.245-252, September 11-15, 2006, Pisa, Italy
|
|
|
C. -F. Chiasserini , R. Gaeta , M. Garetto , M. Gribaudo , D. Manini , M. Sereno, Fluid models for large-scale wireless sensor networks, Performance Evaluation, v.64 n.7-8, p.715-736, August, 2007
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Kaushik R. Chowdhury , Nagesh Nandiraju , Pritam Chanda , Dharma P. Agrawal , Qing-An Zeng, Channel allocation and medium access control for wireless sensor networks, Ad Hoc Networks, v.7 n.2, p.307-321, March, 2009
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Yang Xiao , Yanping Zhang , Miao Peng , Hui Chen , Xiaojiang Du , Bo Sun , Kui Wu, Two and three-dimensional intrusion object detection under randomized scheduling algorithms in sensor networks, Computer Networks: The International Journal of Computer and Telecommunications Networking, v.53 n.14, p.2458-2475, September, 2009
|
|
|
|
|
|
|
|