A Novel Technique for Analysis and Estimation of QoS in WSN through Modified Genetic Algorithm

Abstract

Wireless Sensor Networks (WSN) form a self-configured wireless network with no infrastructure to monitor physical or environmental factors, such as temperature, sound, vibration, friction, movement, or contaminants, and to transmit your data to a network. It can be identified in Collaboration at a primary or sink location where data is monitored and analyzed. Hundreds of thousands of nodes are commonly used in wireless network applications. Service quality is an overused concept with several interpretations and viewpoints originating from different study of research backgrounds. QoS in WSNs is viewable from two perspectives: application-specific and network-specific. The former refers to application-specific QoS parameters, such as measurement of sensor nodes and deployment. Which the supporting communication network can meet application needs while using network resources such as bandwidth and power consumption efficiently. Wireless sensor networks (WSNs) have been used to increase the number of applications that are useful in terms of operating and communication. Service efficiency may be an essential factor for ensuring that the distinct specifications are fulfilled for specific product. This paper mainly explores the Estimated QoS in WSN through Genetic Algorithm.