Energy Efficient Spectrum Access Design for Cognitive Radio Wireless Sensor Network

Wireless sensor networks (WSN) considered to play an important part in Internet of Things (IoT). The increased wireless access device makes spectrum access challenging. Cognitive radio (CR) plays an eminent mechanism to address this issues by enabling sensor device to opportunistically access licensed spectrums. However, energy constraint of sensor device to provide cognitive capability such as channel switching, channel sensing and opportunistic access requires careful planning for enhancing energy efficiency of CR-WSN. For enabling WSN with cognitive capability to provision IOT requires efficient spectrum access and medium access control (MAC) design. The exiting spectrum access model incurs energy overhead and induces higher collision due to interference among contending user and very limited work is carried out considering multi-channel CR-WSN network. As a result, they are not efficient in utilizing spectrum. For overcoming research challenges, this work present an energy efficient spectrum access (EESA) model for multi-channel mobile CR-WSN. Experiment outcome shows EESA attain significant performance over exiting model in terms of throughput and energy efficiency. The EESA utilize spectrum more efficiently considering multi-channel mobile CR-WSN.