Evidence map›Paper›PMID 35458846›Full record

ArticleSensors (Basel, Switzerland)2022

An Adaptive Topology Management Scheme to Maintain Network Connectivity in Wireless Sensor Networks.

Muhammad Zia Ul Haq, Muhammad Zahid Khan, Haseeb Ur Rehman, Gulzar Mehmood, Ahmed Binmahfoudh, Moez Krichen, Roobaea Alroobaea

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
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  6. Machine Learning Hybrid Model for the Prediction of Chronic Kidney Disease.Computational intelligence and neuroscience · 2023
    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

7 authors.

Muhammad Zia Ul HaqDepartment of Electrical and Computer Engineering, Wah Campus, COMSATS University Islamabad, Wah 47040, Pakistan.ORCID 0000-0003-2146-7526
Muhammad Zahid KhanDepartment of Computer Science and Information Technology, University of Malakand, Chakdara 18800, Pakistan.ORCID 0000-0002-1171-1794
Haseeb Ur RehmanDepartment of Computer Science and Information Technology, University of Malakand, Chakdara 18800, Pakistan.ORCID 0000-0003-1477-0017
Gulzar MehmoodDepartment of Computer Science and Information Technology, University of Malakand, Chakdara 18800, Pakistan.ORCID 0000-0002-4216-1246
Ahmed BinmahfoudhDepartment of Computer Engineering, College of Computers and Information Technology, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia.
Moez KrichenFaculty of CSIT, Al-Baha University, Al Bahah 65731, Saudi Arabia.ORCID 0000-0001-8873-9755
Roobaea AlroobaeaDepartment of Computer Science, College of Computers and Information Technology, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia.ORCID 0000-0003-1585-2962

Funding

This research was supported and funded by Taif University Researchers Supporting Project number (TURSP-2020/347), Taif Unversity, Taif, Saudi Arabia TURSP-2020/347
6 · The paper itself

Abstract

The roots of Wireless Sensor Networks (WSNs) are tracked back to US military developments, and, currently, WSNs have paved their way into a vast domain of civil applications, especially environmental, critical infrastructure, habitat monitoring, etc. In the majority of these applications, WSNs have been deployed to monitor critical and inaccessible terrains; however, due to their unique and resource-constrained nature, WSNs face many design and deployment challenges in these difficult-to-access working environments, including connectivity maintenance, topology management, reliability, etc. However, for WSNs, topology management and connectivity still remain a major concern in WSNs that hampers their operations, with a direct impact on the overall application performance of WSNs. To address this issue, in this paper, we propose a new topology management and connectivity maintenance scheme called a Tolerating Fault and Maintaining Network Connectivity using Array Antenna (ToMaCAA) for WSNs. ToMaCAA is a system designed to adapt to dynamic structures and maintain network connectivity while consuming fewer network resources. Thereafter, we incorporated a Phase Array Antenna into the existing topology management technologies, proving ToMaCAA to be a novel contribution. This new approach allows a node to connect to the farthest node in the network while conserving resources and energy. Moreover, data transmission is restricted to one route, reducing overheads and conserving energy in various other nodes' idle listening state. For the implementation of ToMaCAA, the MATLAB network simulation platform has been used to test and analyse its performance. The output results were compared with the benchmark schemes, i.e., Disjoint Path Vector (DPV), Adaptive Disjoint Path Vector (ADPV), and Pickup Non-Critical Node Based k-Connectivity (PINC). The performance of ToMaCAA was evaluated based on different performance metrics, i.e., the network lifetime, total number of transmitted messages, and node failure in WSNs. The output results revealed that the ToMaCAA outperformed the DPV, ADPV, and PINC schemes in terms of maintaining network connectivity during link failures and made the network more fault-tolerant and reliable.

Indexed as

Computer Communication NetworksWireless TechnologyAlgorithmsComputer SimulationReproducibility of Resultsenergy-efficiencynetwork lifetimeroutingWSNs

Identifiers

PMID35458846
PMCPMC9028011

What OpenQuestion holds

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LicenceCC BY
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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.