Abstract
Today, Wireless Sensor Network (WSN) has become an enabler technology for the Internet of Things (IoT) applications. The emergence of various applications has then enabled the need for robust and efficient data collection and transfer algorithms. This paper presents a comprehensive review for the existing data gathering algorithms and the technologies adopted for that applications. After reviewing the algorithms and the challenges related to them, which extend the physical reach of the monitoring capability; they possess several constraints such as limited energy availability, low memory size, and low processing speed, which are the principal obstacles to designing efficient management protocols for WSN-IoT integration.
Highlights
The Internet of Things (IoT) is one of the emerging technologies in the area of information technology [1]
IoT has provided a lot of opportunities, many challenges have been arisen such as security considering the huge number of devices connected to each other for achieving a certain type of function
This paper introduced a complete audit for the current information gathering calculations and the innovations received for those applications
Summary
The Internet of Things (IoT) is one of the emerging technologies in the area of information technology [1]. Internet technology is known for a long time and has been used for connecting computers using Internet protocol (TCP/IP) so that millions of networks are interconnected around the world [2]. Those networks are used for different kinds of purpose such as private, public, academic, business, and government networks. In the work of Cheng et al, [8], reviewed the state of the art of approximate data collection algorithms in IoT and WSN. An overview of the IoT based on WSN has been discussed under Section II.
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