Quality of Service Aided Power Aware Resource Allocation Optimization with Channel Estimation in Wireless Sensor Network

Wireless Sensor Networks (WSN) have long relied on resource allocation technologies, however most of the existing methods are designed with a single network interface. The Multi-Input Multiple-Output Orthogonal Frequency-Division Multiplexing (MIMO-OFDM) methodology is a relatively new channel estimation method used for varying Quality of Service considerations and for various service types, MIMO employs several parallel channels to transmit these services in a decoupled manner. Constant Bit Rate (CBR) traffic is a high-priority service category that has reduced delay than other types of traffic. Performance indicators such as outage probability, throughput, and access probability of both classes of service are evaluated numerically, and the analysis is offered to determine whether or not the power was allocated appropriately. The channel estimation method is used to analyze the distribution of wireless communication resources. Relay selection, channel assignment, and relay assignment are all used as part of a data-aided estimate procedure to boost overall throughput. The proposed research considers a Quality of Service aided power aware Resource Allocation Optimization Model with Channel Estimation (QoS-PARAO-CE) model for accurate resource allocation with channel estimation to enhance the QoS in WSNs. The proposed model when contrasted with the traditional models performance better.