EFFICIENT ADAPTIVE DATA RATE SCHEME FOR LORAWAN IN MASSIVE IOT ENVIRONMENT

Abstract

Long Range Wide Area Network is among the foremost favored techniques for wireless communication in Internet of Things applications, owing to its simplicity and versatility. Long Range Wide Area Network utilizes an adaptive data rate approach at both the network server and end device levels. The network server could employ a resource allocation approach to return the requested radio parameters of the downlink by regulating the transmit power and spreading factor. we suggest Network Server controlled adaptive data rate, a Uniform Distribution Adaptive Data Rate to deal with fast fluctuating of signal-noise ratio of arriving packets at the network server. The suggested strategy seeks to most effective allocation of radio parameters to the end devices to reduce the network energy consumption and improve average packet delivery ratio of the network. The findings of the simulation demonstrated that the suggested approach enhance the average packet delivery ratio by 102% and 77.94% for a single and two gateways deployment in an urban scenario respectively while in sub-urban improved by 65.14% and 33.53%. The total network energy consumption reduced by 9% and 16.55% for single and two gateways in urban scenario while in sub-urban scenario reduced by 15.92% and 12.53%.