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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM56834

A Review on Error Detection and Correction Methods for IOT and Wireless Networks

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM56834

Volume:

10 |

2 |

Feb 2026

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
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Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

L

Laxmi1

PSM

Prof. Sachin Mahajan2

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Abstract

Wireless networks are undergoing a paradigm shift with emergence of high performance internet of things (IoT). The demand for bandwidth has significantly risen due to multimedia applications and high speed data transfer. Due to the large data speeds and wireless nature of the channel, error detection and correction measures are indispensable for high trustworthiness in networks. This paper presents a comprehensive review on need of error detection and correction in wireless networks and the related work done in the domain. The emphasis has been laid on the error detection and correction employing the turbo encoding mechanism. The turbo encoding mechanism has been chosen as the baseline technique as it shows adherence to the Shannon’s limit while exhibiting a steep plummet in the error rate, in the error rate even at low SNR values. The important features of the turbo encoding-decoding process has been cited with explanations. A review of the various categories of turbo codes and similar approaches has been presented. Salient features of contemporary work have been cited.

KEYWORDS

Internet of Things (IoT) Error Detection and Correction Trustworthiness Turbo Codes Shannon’s Limit.

Cite This Article

Laxmi1, Prof. Sachin Mahajan2, "A Review on Error Detection and Correction Methods for IOT and Wireless Networks," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 2, Feb 2026.

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Publication Date

2/23/2026

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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