Evidence map›Paper›PMID 32748819›Full record

ArticleSensors (Basel, Switzerland)2020

A Secure Communication in IoT Enabled Underwater and Wireless Sensor Network for Smart Cities.

Tariq Ali, Muhammad Irfan, Ahmad Shaf, Abdullah Saeed Alwadie, Ahthasham Sajid, Muhammad Awais, Muhammad Aamir

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
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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.

Tariq AliElectrical Engineering Department, College of Engineering, Najran University, Najran 61441, Saudi Arabia.
Muhammad IrfanElectrical Engineering Department, College of Engineering, Najran University, Najran 61441, Saudi Arabia.ORCID 0000-0003-4161-6875
Ahmad ShafDepartment of Computer Science, COMSATS University Islamabad, Sahiwal Campus, Sahiwal 57000, Pakistan.ORCID 0000-0002-0633-5587
Abdullah Saeed AlwadieElectrical Engineering Department, College of Engineering, Najran University, Najran 61441, Saudi Arabia.ORCID 0000-0003-0929-8221
Ahthasham SajidDepartment of Computer Science, Faculty of ICT, Balochistan University of Information Technology Engineering and Management Sciences, Quetta 87300, Balochistan, Pakistan.ORCID 0000-0002-2829-0893
Muhammad AwaisSchool of Computing and Communications, Lancaster University, Bailrigg, Lancaster LA1 4YW, UK.ORCID 0000-0001-7064-6796
Muhammad AamirDepartment of Computer Science, COMSATS University Islamabad, Sahiwal Campus, Sahiwal 57000, Pakistan.ORCID 0000-0003-0580-3921

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nowadays, there is a growing trend in smart cities. Therefore, the Internet of Things (IoT) enabled Underwater and Wireless Sensor Networks (I-UWSN) are mostly used for monitoring and exploring the environment with the help of smart technology, such as smart cities. The acoustic medium is used in underwater communication and radio frequency is mostly used for wireless sensor networks to make communication more reliable. Therefore, some challenging tasks still exist in I-UWSN, i.e., selection of multiple nodes' reliable paths towards the sink nodes; and efficient topology of the network. In this research, the novel routing protocol, namely Time Based Reliable Link (TBRL), for dynamic topology is proposed to support smart city. TBRL works in three phases. In the first phase, it discovers the topology of each node in network area using a topology discovery algorithm. In the second phase, the reliability of each established link has been determined while using two nodes reliable model for a smart environment. This reliability model reduces the chances of horizontal and higher depth level communication between nodes and selects next reliable forwarders. In the third phase, all paths are examined and the most reliable path is selected to send data packets. TBRL is simulated with the help of a network simulator tool (NS-2 AquaSim). The TBRL is compared with other well known routing protocols, i.e., Depth Based Routing (DBR) and Reliable Energy-efficient Routing Protocol (R-ERP2R), to check the performance in terms of end to end delay, packet delivery ratio, and energy consumption of a network. Furthermore, the reliability of TBRL is compared with 2H-ACK and 3H-RM. The simulation results proved that TBRL performs approximately 15% better as compared to DBR and 10% better as compared to R-ERP2R in terms of aforementioned performance metrics.

Indexed as

reliablerouting protocolsmart citiestopology discover

Identifiers

PMID32748819
PMCPMC7435984

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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.