Abstract
The Internet of things (IoT) and wireless sensor networks (WSNs) have been rapidly and tremendously developing recently as computing technologies have brought about a significant revolution. Their applications and implementations can be found all around us, either individually or collaboratively. WSN plays a leading role in developing the general flexibility of industrial resources in terms of increasing productivity in the IoT. The critical principle of the IoT is to make existing businesses sufficiently intelligent to recognize the need for significant fault mitigation and short-cycle adaptation to improve effectiveness and financial profits. This article presents efficiently applied security protocols at the data link layer for WSN and IoT-based frameworks. It outlines the importance of WSN–IoT applications as well as the architecture of WSN in the IoT. Our primary aim is to highlight the research issues and limitations of WSNs related to the IoT. The fundamental goal of this work is to emphasize a suggested architecture linked to WSN–IoT to enhance energy and power consumption, mobility, information transmission, QoS, and security, as well as to present practical solutions to data link layer difficulties for the future using machine learning. Moreover, we present data link layer protocol issues, attacks, limitations, and research gaps for WSN frameworks based on the recent work conducted on the data link layer concerning WSN applications. Current significant issues and challenges pertain to flow control, quality of service (QoS), security, and performance. In the context of the literature, less work has been undertaken concerning the data link layer in WSN and its relation to improved network performance.
Funder
Geran Putra Berimpak Universiti Putra Malaysia
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing,Control and Systems Engineering
Reference117 articles.
1. Wang, H., Wen, Y., Lu, Y., Zhao, D., and Ji, C. (2019). Advances in Computer Communication and Computational Sciences, Springer.
2. Prakash, S., and Saroj, V. (2019). Data Science and Big Data Analytics, Springer.
3. Libelium (2020). 50 Sensor Applications for a Smarter World, Libelium.
4. Applications of wireless sensor networks for urban areas: A survey;Bushra;J. Netw. Comput. Appl.,2016
5. The role of big data in smart city;Hashem;Int. J. Inf. Manag.,2016
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