Evidence map›Paper›PMID 42236524›Full record

ArticleScientific reports2026

ENCORE: an energy-efficient cluster-based multi-hop routing framework for WNSNs in IoNT.

M Yuvaraj, S Sivaprakash

Abstract read
In one paragraph

Article in Scientific reports, 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.

M YuvarajSchool of Computer Science and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, 632014, India.
S SivaprakashSchool of Computer Science and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, 632014, India. sivaprakash.s@vit.ac.in.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The internet of nano-things (IoNT) uses wireless nano-sensor networks (WNSNs) with stringent network limitations for its many applications, such as biological monitoring and environmental sensing. Network lifetime and communication reliability are fundamentally limited by the ultra-restricted onboard energy of nano-sensor nodes and the absence of post-deployment energy replenishment. This study proposes Energy-efficient Network Clustering and Optimized Routing based on Environments (ENCORE), an energy-aware clustering and multi-hop routing framework for dense three-dimensional WNSNs. ENCORE employs topology-adaptive cluster-head selection based on residual energy and sink proximity, together with a structured, sink-oriented, loop-free multi-hop backbone to balance communication load and mitigate premature node depletion. Network behaviour is evaluated using a pulse-oriented nano-communication energy model capturing continuous energy degradation. Simulation results across multiple randomized deployments show that ENCORE improves network lifetime, residual energy retention, and packet delivery compared with Flooding (FLD), LGN, and DEEPNT, achieving up to a 45% lifetime improvement over DEEPNT and nearly a threefold gain over LGN.

Indexed as

Cluster head selectionEnergy efficiencyInternet of Nano-Things (IoNT)Multi-hop routingNetwork lifetimeWireless nano-sensor networks (WNSNs).

Identifiers

PMID42236524
PMCPMC13473499

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.