Extended monitoring with group localization in software defined hybrid Wi-Fi/zigbee networks: An initial prototype

The ISM spectrum band is becoming increasingly populated by emerging wireless networks, but the coexisting heterogeneous networks seem to share the ISM spectrum with cognitive radio techniques and enable cooperative localization applications with Wi-Fi and Zigbee. Software defined network architecture is proposed as a new paradigm in the cognitive networking to manage and control heterogeneous networks. Monitoring is an essential application for the software defined network to collect data periodically from a multitude of data sources for global state awareness and optimization. In this paper, we extend the monitoring for software defined network controller and prototype a new application module of group localization with the hybrid Wi-Fi and Zigbee APs obeying OpenFlow interface. Furthermore, we propose and evaluate a compressed sensing based algorithm for group localization. In the end, we evaluate its performance with various scenario and parameter configuration. The initial prototype evaluation and experiment results on accuracy and latency show the hybrid WiFi and Zigbee APs can work together for group localization and the compressed sensing algorithm can work well with the scenario of WiFi/Zigbee APs with hybrid power configuration.