Evidence map›Paper›PMID 41872430›Full record

ArticleScientific reports2026

Multi-point collaborative mobile replica node detection protocol based on key negotiation.

Jun Cheng, Zhiming Zhang, Jinfeng Li

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

3 authors.

Jun ChengCollege of Aeronautical Information Engineering, Jiangxi Flight University, Nanchang, 330088, Jiangxi, China. 000458@jxfu.edu.cn.
Zhiming ZhangSchool of Artificial Intelligence, Jiangxi Normal University, Nanchang, 330027, Jiangxi, China. zzm_9650@163.com.
Jinfeng LiCollege of Aeronautical Information Engineering, Jiangxi Flight University, Nanchang, 330088, Jiangxi, China.

Funding

Jiangxi Provincial Department of Education Science and Technology Program GJJ2403403
6 · The paper itself

Abstract

Replica node attacks, a common issue in wireless sensor networks (WSNs), can cause major damage. Most traditional replica node detection protocols are designed for static WSNs and are limited by easy information leakage, high storage and communication overhead, and a short network lifetime. Therefore, this study proposes a multi-point collaborative mobile replica node detection protocol based on key negotiation, referred to as KN-MCDP. The KN-MCDP scheme is designed for use in mobile wireless sensor networks (MWSNs) where a limited number of mobile nodes are deployed in static WSNs. The protocol can not only identify replica nodes in static WSNs but also determine whether a mobile node is a replica, thereby providing enhanced network protection. When cluster head nodes and mobile nodes communicate, they encrypt the exchanged information using digital signature technology, ternary symmetric polynomial technology, and symmetric encryption technology, thus preventing information leakage collected by cluster head nodes. Collecting network information using Bloom filters on cluster head nodes and mobile nodes reduces network storage and communication overhead. In different phases, the protocol employs cluster head nodes, mobile nodes, and the base station to identify and isolate replica nodes. This approach balances the energy overhead of the network and extends its lifetime. The experimental results demonstrate that the KN-MCDP protocol can achieve a high detection rate, reduce the network’s storage and communication overhead, balance energy overhead, and extend the network lifetime.

Indexed as

Communication overheadDetection rateMobile wireless sensor networksNetwork lifetime.Replica node detectionStorage overhead

Identifiers

PMID41872430
PMCPMC13168356

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.