Evidence map›Paper›PMID 42740125›Full record

ArticleSensors (Basel, Switzerland)2026

EARDC: Energy-Aware Reaction-Diffusion-Based Clustering for Area Coverage in Wireless Sensor Networks.

Shu-Yuan Wu, Theodore Brown

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Shu-Yuan WuGraduate Center, City University of New York, New York, NY 10016, USA.
Theodore BrownGraduate Center, City University of New York, New York, NY 10016, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Energy-efficient clustering extends the lifetime of wireless sensor networks (WSNs). Conventional protocols such as LEACH and HEED primarily address communication energy and cluster head (CH) selection rather than area coverage under random deployment. C3 considers coverage and redundancy without node coordinates; however, its virtual-ring reconfiguration is initiated by a sink or reference node. In this paper, we propose Energy-Aware Reaction-Diffusion Clustering (EARDC), a self-organizing, coordinate-free, and decentralized framework for energy-efficient area coverage in randomly deployed WSNs. EARDC determines CH formation, cluster membership, and temporary sleep states from information exchanged among one-hop neighbors. It requires neither exact node coordinates, sink-initiated reconfiguration, nor network-wide coverage information computed at the base station. A residual-energy-scaled activator-inhibitor update supports self-organized CH selection, and local membership control determines the active sensing set from selected CHs and accepted members. Other non-CH nodes sleep until the next scheduled clustering epoch. Analytical approximations for active-node density and coverage are evaluated against run-level simulation measurements to assess their accuracy and limitations. Simulations at three deployment densities characterize the tradeoff among network lifetime, coverage retention, active participation, and sensing redundancy. EARDC provides longer network lifetime and a smaller active fraction than LEACH, HEED, and WIFN. C3 provides stronger redundancy suppression. In the dense deployment, the lifetime-maximizing EARDC setting has shorter coverage retention than C3 but a longer coverage-bounded lifetime. These results show that network lifetime and sustained area coverage represent distinct performance objectives.

Indexed as

area coverageclustering protocolcoordinate-freeenergy-efficientlocation-unawarenetwork lifetimereaction–diffusionself-organizingwireless sensor networks (WSNs)

Identifiers

PMID42740125
PMCPMC13568028

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.