Performance Analysis of IoT Protocol Stack over Dense and Sparse Mote Network Using COOJA Simulator

Abstract

Internet of Things (IoT) interrelates computing devices, and digital devices with animals or people and they have ability to transfer amounts of data over a network needless of any human to computer interaction. IoT is composed of sensor nodes or motes, servers, and the internet allowing these devices to collect and exchange information. Lossy networks, stressed out connections and high power consumption are the major concerns in IoT. Protocols are used for messages management and among computing nodes and they act as controls for telecommunication medium using radio frequencies. This paper, evaluates the IoT protocols' stack over on dense network and sparse network topology which include application layer's protocols such as, MQTT, CoAP and transport layer protocols' UDP and TCP. Analysis is done on transport layer through RPL protocol and on physical layer using Z1 motes and Sky motes. We utilize Cooja simulator and Contiki operating system for simulations. The performance metrics for the evaluation of protocol stack are power intake, radio responsibility cycle, and average inter-packet arrival time.