Improve Quality of Service for IOT based Wireless Sensor Network

Abstract

A wireless sensor network (WSN) is a self-configured, infrastructure-free network that uses sensors or embedded devices to monitor physical or environmental parameters such as heat, temperature, light, pressure, and vibration. WSNs are equipped with thousands of sensor nodes, computing devices, and power components, and the nodes are connected to the central processing unit or the base station. Base stations, also known as sink nodes, collect sensor data and interact with end users through the Internet, satellite, direct links, or other wireless channels. They serve as a link between the user and the network. Wireless sensor networks have a variety of applications. Examples include the Internet of Things, military applications, area monitoring, forest fire detection, healthcare monitoring, industrial monitoring, and household applications. newlineWSNs can be likened to a group of sensors with no direct internet connection; instead, it connects to this central node. On the other hand, IoT comprises different tech stacks, WSN being one among them. To be precise, WSN is a subset of IoT, a technology used within the IoT system. This system can be interpreted as a group of IoT devices; thus, IoT-based WSN applications are increasing nowadays. The devices deployed with sensors of WSN are used for generating and transmitting a newlinevii newlinehumungous amount of data continuously from one place to another without any distraction or loss of data. Only energetic nodes can do monitoring and transmit environmental data continuously. The nodes in the network should spend a pre-estimated amount of energy to complete their tasks, which reduces the energy level of the nodes and make them dead finally since the nodes are limited in their battery level and energy capacity. Because a dead node in a communication system disrupts the entire data transmission and routing process, much research has focused on boosting the energy-efficiency of WSN sensor nodes. newlineSeveral earlier research works have used clustering methods to improve energy efficiency.