Sensor Network
A sensor node, consists of an individual node from a sensor network that is capable of performing a desired action such as gathering, processing or communicating information with other connected nodes in a network

Sensor is the backbone of AI
Think AI without Sensor is a joke. think sensor without mathematics and computing is bigger joke than previous .
Mathematics
Every problem having a number of solutions which one is best solution can we say?
Mathematics tool is used to predict an optimum solution, compare it to other possible solution and give the exact answer which of them is more efficient or best.
AI
Artificial Intelligence (AI) is the simulation of human intelligence processes by machines, especially computer systems. These processes include learning, reasoning, and self-correction. Specific applications of AI include expert systems, natural language processing (NLP), speech recognition, and machine vision.
Machine Learning
Machine Learning (ML) is a subset of artificial intelligence (AI) that focuses on developing algorithms that enable computers to learn from and make predictions or decisions based on data.
cloud computing
Cloud computing is the delivery of various computing services over the internet, including storage, processing power, databases, networking, software, and analytics. These services are managed by cloud service providers (CSPs) and accessed remotely, providing on-demand availability of computer system resources without direct active management by the user.
Edge Computing
Edge computing is a distributed computing paradigm that brings computation and data storage closer to the location where it is needed, improving response times and saving bandwidth. Instead of sending all data to a centralized data center or cloud for processing, edge computing processes data locally on the devices themselves or on nearby servers.
Fog Computing
Fog computing, also known as fog networking or fogging, is an extension of cloud computing that brings computing, storage, and networking closer to the data sources. It aims to improve efficiency and reduce the amount of data sent to the cloud for processing, analysis, and storage by handling some of these tasks locally. The term “fog” suggests a cloud close to the ground, emphasizing its role in bridging the gap between edge devices and centralized cloud data centers.
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