The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.
ATPC: adaptive transmission power control for wireless sensor networks
Abstract
Extensive empirical studies presented in this paper confirm that the quality of radio communication between low power sensor devices varies significantly with time and environment. This phenomenon indicates that the previous topology control solutions, which use static transmission power, transmission range, and link quality, might not be effective in the physical world. To address this issue, online transmission power control that adapts to external changes is necessary. This paper presents ATPC, a lightweight algorithm of Adaptive Transmission Power Control for wireless sensor networks. In ATPC, each node builds a model for each of its neighbors, describing the correlation between transmission power and link quality. With this model, we employ a feedback-based transmission power control algorithm to dynamically maintain individual link quality over time. The intellectual contribution of this work lies in a novel pairwise transmission power control, which is significantly different from existing node-level or network-level power control methods. Also different from most existing simulation work, the ATPC design is guided by extensive field experiments of link quality dynamics at various locations and over a long period of time. The results from the real-world experiments demonstrate that 1) with pairwise adjustment, ATPC achieves more energy savings with a finer tuning capability and 2) with online control, ATPC is robust even with environmental changes over time.
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Cites
Minimum energy mobile wireless networks
Rodoplu, V., & Meng, T. H. (1999) · IEEE Journal on Selected Areas in Communications · doi:10.1109/49.779917 · Cited by 1,685
Taming the underlying challenges of reliable multihop routing in sensor networks
Woo, A., Tong, T., & Culler, D. (2003) · Proceedings of the 1st international conference on Embedded networked sensor systems · doi:10.1145/958491.958494 · Cited by 1,512
Understanding packet delivery performance in dense wireless sensor networks
Zhao, J., & Govindan, R. (2003) · Proceedings of the 1st international conference on Embedded networked sensor systems · doi:10.1145/958491.958493 · Cited by 1,267
A wireless sensor network For structural monitoring
Xu, N., Rangwala, S., Chintalapudi, K. K., Ganesan, D., Broad, A., Govindan, R., & Estrin, D. (2004) · Proceedings of the 2nd international conference on Embedded networked sensor systems · doi:10.1145/1031495.1031498 · Cited by 1,088
A line in the sand: a wireless sensor network for target detection, classification, and tracking
Arora, A., Dutta, P., Bapat, S., Kulathumani, V. K., Zhang, H., Naik, V. S., Mittal, V., Cao, H. Y., Demirbaş, M., Gouda, M. G., et al. (2004) · Computer Networks · doi:10.1016/j.comnet.2004.06.007 · Cited by 887
The Number of Neighbors Needed for Connectivity of Wireless Networks
Xue, F., & Kumar, P. R. (2004) · Wireless Networks · doi:10.1023/b:wine.0000013081.09837.c0 · Cited by 821
Impact of radio irregularity on wireless sensor networks
Zhou, G., He, T., Krishnamurthy, S., & Stankovic, J. A. (2004) · Proceedings of the 2nd international conference on Mobile systems, applications, and services · doi:10.1145/990064.990081 · Cited by 779
Self-citationTolle, G., Polastre, J., Szewczyk, R., Culler, D., Turner, N., Tu, K., Burgess, S., Dawson, T., Buonadonna, P., Gay, D., et al. (2005) · Proceedings of the 3rd international conference on Embedded networked sensor systems · doi:10.1145/1098918.1098925 · Cited by 776
Energy-efficient surveillance system using wireless sensor networks
He, T., Krishnamurthy, S., Stankovic, J. A., Abdelzaher, T., Luo, L., Stoleru, R., Yan, T., Gu, L., Hui, J., & Krogh, B. (2004) · Proceedings of the 2nd international conference on Mobile systems, applications, and services · doi:10.1145/990064.990096 · Cited by 743
Self-citationComplex Behavior at Scale: An Experimental Study of Low-Power Wireless Sensor Networks
Ganesan, D., Estrin, D. L., Woo, A., Culler, D., Krishnamachari, B., & Wicker, S. B. (2002) · Cited by 481
Cited by
Effects of Temperature and Humidity on Radio Signal Strength in Outdoor Wireless Sensor Networks
Luomala, J., & Hakala, I. (2015) · Annals of Computer Science and Information Systems · doi:10.15439/2015f241 · Cited by 162
Metadata
- Authors
- Lin, S., Zhang, J., Zhou, G., Gu, L., Stankovic, J. A., & He, T.
- Venue
- Proceedings of the 4th international conference on Embedded networked sensor systems
- Publisher
- ACM
- Published
- 2006-10-31
- Pages
- 223-236
- OpenAlex
- W2164021301
- Cited by
- 537
- References
- 15
- FWCI
- 24.01
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Lin, S., Zhang, J., Zhou, G., Gu, L., Stankovic, J. A., & He, T. (2006). ATPC: adaptive transmission power control for wireless sensor networks. Proceedings of the 4th international conference on Embedded networked sensor systems. https://doi.org/10.1145/1182807.1182830
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