Abstract
Wireless sensor network is used as wide area
for communication technologies, Due to increasing the
number of applications over the telecommunication
network there is need of development of next generation
wireless sensor network, which is used by the
application. There is need to divert towards the next
generation communication network. All the users are
depends on cognitive technology because of selforganization
technology as an autonomous system. The
each node is capable and behaves like cognitive users.
As the space is available the users can occupy the space
and used it as autonomy and transfer the data from one
user to other user. Each node senses it and own and
others condition of states such as ideal state, busy state,
sleep state and works accordingly. The arrival rate and
departure rate of each user results into the congestion in
the network and due to that the delay is possible, thus
traffic is burst. Due to the heavy load in the network the
faults occurs and packets may drop. The rate of packet
dropping is more due to heavy load. All the sensor nodes
deployed in the region of any applications are gather
data and send the data to their respective neighboring
nodes and send it to the base station. Here the singlesink
multiple channels and multiple sink multiple
channels are considered to analyzed the network
performance. We try to develop the efficient faulttolerant
protocol for cognitive radio sensor networks
motivated from the ant colony optimization with primary
user (PU) arrival and departure prediction.
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