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SCALABLE DYNAMIC ROUTING PROTOCOL FOR COGNITIVE RADIO SENSOR
NETWORKS
ABSTRACT:
Wireless sensor networks (WSNs) have been increasingly considered an attractive solution for a
plethora of applications. The low cost of sensor nodes provides a mean to deploy large sensor
arrays in a variety of applications, such as civilian and environmental monitoring. Most of
theWSNs operate in unlicensed spectrum bands, which have become overcrowded. As the
number of the nodes that join the network increases, the need for energy-efficient, resource-constrained,
and spectrumefficient protocol also increases. Incorporating cognitive radio
capability in sensor networks yields a promising networking paradigm, also known as cognitive
radio sensor networks. In this paper, a cognitive networking with opportunistic routing protocol
for WSNs is introduced. The objective of the proposed protocol is to improve the network
performance after increasing network scalability. The performance of the proposed protocol is
evaluated through simulations. An accurate channel model is built to evaluate the signal strength
in different areas of a complex indoor environment. Then, a discrete event simulator is applied to
examine the performance of the proposed protocol in comparison with two other routing
protocols. Simulation results show that when comparing with other common routing protocols,
the proposed protocol performs better with respect to throughput, packet delay, and total energy
consumption.