IoT Sensor Networks- Orchestrating Connectivity, Efficiency, and Intelligence Across Diverse Domains
Journal Title: International Journal of Innovative Research in Computer Science and Technology - Year 2024, Vol 12, Issue 3
Abstract
The advent of the Internet of Things (IoT) has led to the proliferation of sensor networks, enabling a new era of connectivity, data collection, and automation across various domains. IoT-based sensor networks comprise interconnected sensors and actuators that collect, transmit, and process data to provide valuable insights and enable intelligent decision-making. This paper explores the architecture, applications, and challenges of IoT-based sensor networks. The architecture section delves into the components, layers, and communication protocols that constitute these networks, highlighting the roles and interactions of sensors, microcontrollers, gateways, and cloud services. The applications section showcases the diverse use cases of IoT-based sensor networks in smart cities, industrial automation, healthcare, agriculture, and environmental monitoring, illustrating their transformative impact. The challenges section identifies the key issues such as scalability, interoperability, security, reliability, energy efficiency, and data management that need to be addressed to realize the full potential of IoT networks. Finally, the paper discusses future directions, emphasizing the potential of edge computing, 5G, artificial intelligence, and blockchain technology to advance IoT-based sensor networks and unlock new opportunities. Through continued research, innovation, and collaboration, IoT sensor networks are poised to drive significant advancements in technology and society, creating a more connected and intelligent world.
Authors and Affiliations
Muhammad Ashfaq Siti Nur
Keywords
Related Articles
- EP ID EP744989
- DOI 10.55524/ijircst.2024.12.3.26
- Views 40
- Downloads 0
Deep Web Crawler: A Review
In today’s scenario, there is an ample amount of data on the internet that can be accessed by everyone. This is the data that can be indexed by search engines. There are softwares named Web Crawlers that explore the WWW...
AI-Assisted Triage Using CT Head Scans For Emergency Diagnosis
The main goal of CT-based triage is to shorten the time it takes to reach the expert opinion for patients in emergency situations, especially in cases of cranial fractures and intracranial hemorrhage. Increasing the perf...
Regression and Classification Model Based Predictive Maintenance of Aircrafts Using Neural Network
One of the key objectives of today's businesses and mills is to predict machine problems. Failures must be avoided, because downtimes represent expensive expenses and a loss of productivity. This is why the number of rem...
Image Prrocessing With LBP
LBP is a simple yet effective pattern operator which recognizes pixels in pictures by thresholding every pixel's neighborhood as well as treating the result as a binary integers. Image classification is important in a ra...
Disease Prediction System using Support Vector Machine and Multilinear Regression
Evolution of modern technologies like data science and machine learning has opened the path for healthcare communities and medical institutions, to detect the diseases earliest as possible and it helps to provide better...