The DOI matches its Crossref record.
Scalable Information-Driven Sensor Querying and Routing for Ad Hoc Heterogeneous Sensor Networks
Abstract
This paper describes two novel techniques, information-driven sensor querying (IDSQ) and constrained anisotropic diffusion routing (CADR), for energy-efficient data querying and routing in ad hoc sensor networks for a range of collaborative signal processing tasks. The key idea is to introduce an information utility measure to select which sensors to query and to dynamically guide data routing. This allows us to maximize information gain while minimizing detection latency and bandwidth consumption for tasks such as localization and tracking. Our simulation results have demonstrated that the information-driven querying and routing techniques are more energy efficient, have lower detection latency, and provide anytime algorithms to mitigate risks of link/node failures.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Routing techniques in wireless sensor networks: a survey
Al-Karaki, J. N., & Kamal, A. E. (2004) · IEEE Wireless Communications · doi:10.1109/mwc.2004.1368893 · Cited by 4,500
Sensor Selection via Convex Optimization
Joshi, S., & Boyd, S. (2009) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2008.2007095 · Cited by 1,311
Consensus Filters for Sensor Networks and Distributed Sensor Fusion
Olfati-Saber, R., & Shamma, J. S. (2006) · Proceedings of the 44th IEEE Conference on Decision and Control · doi:10.1109/cdc.2005.1583238 · Cited by 982
Detection, classification, and tracking of targets
Li, D., Wong, K. D., Hu, Y. H., & Sayeed, A. M. (2002) · IEEE Signal Processing Magazine · doi:10.1109/79.985674 · Cited by 932
Connecting the physical world with pervasive networks
Estrin, D., Culler, D., Pister, K., & Sukhatme, G. (2002) · IEEE Pervasive Computing · doi:10.1109/mprv.2002.993145 · Cited by 836
Metadata
- Authors
- Chu, M., Haussecker, H., & Zhao, F.
- Venue
- The International Journal of High Performance Computing Applications
- Publisher
- SAGE Publications
- Published
- 2002-08
- Volume
- 16
- Issue
- 3
- Pages
- 293-313
- ISSN
- 0890-2720 (ISSN-L)
- 1094-3420
- 1741-2846
- OpenAlex
- W2116687437
- Cited by
- 634
- References
- 0
- FWCI
- 53.90
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Scalable Information-Driven Sensor Querying and Routing for Ad Hoc Heterogeneous Sensor Networks. https://app.cochat.ai/papers/10.1177/10943420020160030901
- The paper
- Chu, M., Haussecker, H., & Zhao, F. (2002). Scalable Information-Driven Sensor Querying and Routing for Ad Hoc Heterogeneous Sensor Networks. The International Journal of High Performance Computing Applications. https://doi.org/10.1177/10943420020160030901
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.