Analysis of internet access and cognitive radio usage in self adaptive real time wireless sensor networks

Wireless Sensor Networks (WSNs) are becoming more and more important every day. In order to integrate to the Internet, WSNs should communicate with Internet protocol as Internet runs on IP. IPv6 offers a big address pool which is suitable for WSNs which are needed to be accessed remotely. IPv6 over Low Power Area Networks (6LowPAN) helps us to link WSNs to the Internet. Wireless networks use RF technology and share a constrained media with security, military and licensed commercial applications. Through the limitations it is hard to maintain a robust RF spectrum which provides secure and reliable connection. In addition, sensor nodes must drain very low power while communicating over RF technology because WSNs are battery powered or non-powered. Despite the limitations and constraints in radio communication technology, RF traffic in WSNs spectrum is increasing steadily as a result of embedded device usage increase over the Internet. Cognitive Radio (CR) concept is a way to manage radio traffic over RF spectrum. Cognitive Radio helps managing the radio traffic and offers adaptive techniques which result in power consumption reduction. This work analysys Cognitive Radio usage in 6LowPAN architecture through realtime constraints and adaptive network manner.