Evidence map›Paper›PMID 42356889›Full record

ArticleSensors (Basel, Switzerland)2026

An Event-Driven Self-Healing Routing and Topology Maintenance Mechanism for Surface-Deployed Wireless Sensor Networks in Ocean Environments.

Lei Wang, Tzu-Ming Hsia, Chen-Wei Hsu, Pin-Yi Liu, Qian-Xun Hong

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

5 authors.

Lei WangDepartment of Electrical Engineering, Feng Chia University, Taichung City 407102, Taiwan.ORCID 0009-0009-6508-9548
Tzu-Ming HsiaDepartment of Electrical Engineering, Feng Chia University, Taichung City 407102, Taiwan.ORCID 0009-0000-5383-1631
Chen-Wei HsuDepartment of Electrical Engineering, Feng Chia University, Taichung City 407102, Taiwan.ORCID 0009-0007-1108-5790
Pin-Yi LiuDepartment of Electrical Engineering, Feng Chia University, Taichung City 407102, Taiwan.
Qian-Xun HongDepartment of Electrical Engineering, Feng Chia University, Taichung City 407102, Taiwan.ORCID 0009-0005-7844-7907

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Surface-deployed wireless sensor networks (WSNs) provide a flexible platform for ocean monitoring, but ocean-current-dominant marine forcing causes persistent topology evolution, backbone distortion, and route breakage. This paper proposes an event-driven self-healing routing and topology-maintenance mechanism for drift-prone surface WSNs. The design combines dual-threshold cluster-head handover, CH-HELP backbone repair, Node-HELP member reattachment, loop-free upstream reselection, and conditional global reclustering as a low-frequency corrective layer for long-term topology degradation. Unlike fixed-round reorganization, the proposed framework prioritizes local repair and triggers global refresh only when backbone quality persistently deteriorates. Simulations driven by Taiwan Strait current-dominant flow-wind data show that the full Proposed-Hybrid method reduces the CH-disconnection rate from 8.15% in DARCR to 5.15%, whereas the local-only configuration without conditional global reclustering yields 9.13%. Conditional global reclustering further suppresses late-stage topology degradation, reducing the final-third mean CH-disconnection rate from 16.32% to 8.51% and the late-stage 95th-percentile peak from 34.43% to 17.21%. DARCR remains competitive in some late-stage metrics because of its fixed-period global reorganization.

Indexed as

cluster-based routingconditional reclusteringdrift-aware networkingevent-driven maintenanceocean monitoringself-healing routingsurface-deployed wireless sensor networkstopology maintenance

Identifiers

PMID42356889
PMCPMC13307351

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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.