Design and Performance Analysis of Channel Hopping Protocols for Cognitive Radio Enabled Iot Devices

Cognitive Radio Networks (CRNs) are an innovative approach to wireless engineering in which radios are designed with an unprecedented level of intelligence and agility. The CRN enabled radio devices have the ability to monitor, sense and detect the conditions of their operating environment to use spectrum dynamically. On the other hand, Internet of Things (IoT) comprises several thousands of nodes, which can have access to the internet through heterogeneous communication systems such as 4G, LTE, Wi-Fi and Bluetooth to form a ubiquitous network. These smart objects fitted in someone’s home such as light, temperature and intruder detectors can send and receive data through internet to monitor the house and may use licensed or unlicensed spectrum. It is observed that some licensed spectrum is heavily used and some is unused by users to create spectrum holes. In this project, we would like to propose a Cognitive Radio Internet of Things (CRIoT) network, in which each IoT device can have cognitive radio sensing ability to use the unused spectrum at the time of emergency. Accordingly, we propose here TWO years project to design the channel hopping algorithms and performance analysis models for the CRIoT. In the 1st Year of the project, channel hopping protocols for the CRIoT devices will be designed for the symmetric and asymmetric cases in single and multi-hop scenario. In the 2nd Year of the project, performance analysis models will be developed for the mesh topology of CRIoT devices when they use IEEE 802.15.4e MAC superframes. Theoretical evaluation of the proposed models will be done using OMNeT++, NS3 simulators and MATLAB to validate and compare the results with other similar protocols.

Project ID:PB10608-2424
External Project ID:MOST106-2221-E182-014