Evidence map›Paper›PMID 41115929›Full record

ArticleScientific reports2025

Improved distance and energy aware link stability protocol for internet of medical things.

Altaf Hussain, Zengkang Gan, Shuaiyong Li, Tariq Hussain, Razaz Waheeb Attar, Amal Hassan Alhazmi, Khalid Zaman, Xiaozhi Qi

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

8 authors.

Altaf HussainSchool of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, 400065, China.
Zengkang GanInstitute of Intelligent Manufacturing Technology, Shenzhen Polytechnic University, Shenzhen, 518000, Guangdong, China. gan0185@szpu.edu.cn.
Shuaiyong LiKey Laboratory of Industrial Internet of Things and Networked Control, Ministry of Education, Chongqing University of Posts and Telecommunications, Chongqing, 400065, China. lishuaiyong@cqupt.edu.cn.
Tariq HussainSchool of Computer Science and Technology, Zhejiang Gongshang University, Hangzhou, 310018, China.
Razaz Waheeb AttarDepartment of Management, College of Business Administration, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh, 11671, Saudi Arabia.
Amal Hassan AlhazmiDepartment of Management, College of Business Administration, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh, 11671, Saudi Arabia.
Khalid ZamanInstitute of Intelligent Manufacturing Technology, Shenzhen Polytechnic University, Shenzhen, 518000, Guangdong, China. khalidzaman@szpu.edu.cn.
Xiaozhi QiShenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.

Funding

National Key Research and Development Program 2018YFB1600202 and 2021YFB1600205National Natural Science Foundation of China 52178407
6 · The paper itself

Abstract

The Internet of Medical Things (IoMT) has revolutionized healthcare by enabling seamless connectivity among medical devices for real-time monitoring and diagnosis. However, the dynamic nature and resource constraints of IoMT networks present significant challenges in ensuring energy efficiency, reliable communication, and optimal performance. For addressing the mentioned issues and challenges, we propose a comprehensive routing framework, Improved Distance and Energy Aware Link Stability (IDEALS) protocol, designed to optimise distance, Energy Consumption (EC), and Link Stability (LS). Our protocol incorporates a distance-aware routing mechanism to minimize Path Loss (PL), an Energy-Efficient (EE) communication approach to extend Network Lifetime (NLT), and LS prediction algorithm for enhancing reliability in dynamic environments. Additionally, it considers the integration of Random Waypoint Mobility (RWM) and Gauss-Markov Mobility (GMM) models for static and dynamic mobility of the nodes within the network. The IDEALS protocol uses a smart decision-making method. This helps it manage key factors well regarding the node movement and static factors. It's great for IoMT applications because it scales and adapts easily. The protocol is evaluated with state-of-the-art (SOTA) protocols regarding different evaluation metrics. Simulations show that IDEALS performs better than other protocols. It measures how quickly nodes fail and how well data is delivered. It also performs well in big networks, busy areas, and when devices are moving around. IDEALS is a solid choice for solving challenges in IoMT networks. It helps make healthcare delivery more efficient and reliable across different situations.

Indexed as

Energy-efficiencyIDEALS protocolInternet of medical thingsLink stability predictionNetworks optimizationSensors in healthcare

Identifiers

PMID41115929
PMCPMC12537943

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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.