Cloud-Based Routing Resource Allocation in Cognitive Radio Networks
Keywords:Cognitive Radio Network, Cloud-based Routing, Peer to Peer Multi-hop Communications, Resource Allocation, Wi-Fi Direct,
AbstractWi-Fi Direct technology is enabled to support multiple services to be done via Wi-Fi connection. It provides the most efficient method to develop ad-hoc community among mobile devices for connecting quickly with one another without needing an access to the network. It allows communicating at common Wi-Fi rates for various applications including document exchange and online connection. This one-stop WiFi Direct application is able to connect a device to a single device at a time, i.e., only peer to peer communication is allowed within one hop. Hence, multi-device communication within multi-hop distance in a trusty Cognitive Radio (CR) network environment is in demand. This paper presents the development of an Android-based application with optimum cloud routing service to transfer files or chatting via Wi-Fi Direct technology in CR network. A system is developed using smartphones (with developed applications) and nodes with WI-FI connection. An indirect multi-hop routing approach is created if more devices transfer files simultaneously from hop to hop. After login and initializing, a device discovers the neighboring nodes first and then connects those (as necessary) to transfer a file or start chatting. The very moment a connection is established, a log file is generated in internal memory and save a backup copy in cloud containing necessary networking information of the client devices. The aim of these backup log files is for forensic investigation for intrusion detection/prevention and secured communications. Then the chatting or file transfer is carried out between the connected devices either in single or multi-hop routes. Results show that the system’s efficiency is around 92%. It shows that multi-device, multi-hop Wi-Fi Direct services can be implemented using Android devices with Eclipse Java programming in CR networks.
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