A dynamic spectrum access model for cognitive radio wireless sensor network

Wireless sensor based communication system is an ever-growing sector in the industry of communication. The Wireless sensor network (WSN) is expected to play significant role in future internet and wireless based application service delivery such as in healthcare, environment monitoring etc. However the existing radio network is crowded due to increase in use of wireless technology such as Wi-Fi, Bluetooth etc. Therefore cognitive radio is promising in handling spectrum efficiently. However the existing cognitive radio model for WSN is not efficient in utilizing spectrum. They also suffer from interference which induces collision. To address this work, we present an opportunistic spectrum access for wireless sensor network. The channel availability of likelihood distribution is computed using continuous-time Markov chain considering primary transmitting users, temporal channel usage, channel pattern and spatial distribution. A slotted aloha Medium access control is considered. The experiment outcome shows that the proposed model improves overall spectrum efficiency of cognitive radio wireless sensor network.