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Impact of network density on data aggregation in wireless sensor networks
Abstract
In-network data aggregation is essential for wireless sensor networks where energy resources are limited. In a previously proposed data dissemination scheme (directed diffusion with opportunistic aggregation), data is opportunistically aggregated at intermediate nodes on a low-latency tree. In this paper, we explore and evaluate greedy aggregation, a novel approach that adjusts aggregation points to increase the amount of path sharing, reducing energy consumption. Our preliminary results suggest that, under investigated scenarios, greedy aggregation can achieve up to 45% energy savings over opportunistic aggregation in high-density networks without adversely impacting latency or robustness.
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Cited by
TAG: a Tiny AGgregation service for ad-hoc sensor networks
Madden, S., Franklin, M. J., Hellerstein, J. M., & Hong, W. (2002) · ACM SIGOPS Operating Systems Review · doi:10.1145/844128.844142 · Cited by 2,719
Boyd, S., Ghosh, A., Prabhakar, B., & Shah, D. (2006) · IEEE Transactions on Information Theory · doi:10.1109/tit.2006.874516 · Cited by 2,439
Directed diffusion for wireless sensor networking
Intanagonwiwat, C., Govindan, R., Estrin, D., Heidemann, J., & Silva, F. (2003) · IEEE/ACM Transactions on Networking · doi:10.1109/tnet.2002.808417 · Cited by 2,359
Self-citationThe nesC language: a holistic approach to networked embedded systems
Gay, D., Levis, P., von Behren, R., Welsh, M., Brewer, E., & Culler, D. (2014) · ACM SIGPLAN Notices · doi:10.1145/2641638.2641652 · Cited by 1,631
Maté: a tiny virtual machine for sensor networks
Levis, P., & Culler, D. (2002) · Proceedings of the 10th international conference on Architectural support for programming languages and operating systems · doi:10.1145/605397.605407 · Cited by 1,019
Metadata
- Authors
- Intanagonwiwat, C., Estrin, D., Govindan, R., & Heidemann, J.
- Venue
- Proceedings 22nd International Conference on Distributed Computing Systems
- Publisher
- IEEE Comput. Soc
- Published
- 2003-06-25
- Pages
- 457-458
- OpenAlex
- W2151157922
- Cited by
- 696
- References
- 0
- FWCI
- 33.39
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Intanagonwiwat, C., Estrin, D., Govindan, R., & Heidemann, J. (2003). Impact of network density on data aggregation in wireless sensor networks. Proceedings 22nd International Conference on Distributed Computing Systems. https://doi.org/10.1109/icdcs.2002.1022289
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