Research on Sensor Network Spectrum Detection Technology based on Cognitive Radio Network
Abstract: With the bursting
development of computer science and the hardware technology, Internet of Things
and wireless sensor networks has been popularly studied in the community of
engineering. Under the environment of Internet of Things, we carry out
theoretical analysis and numerical simulation on the sensor network spectrum
detection technology based on cognitive radio network. As a means of information
and intelligence, information service system is an important research hotspot
in the field of Internet of things. Wireless sensor network is composed of a
large number of micro sensor nodes, which have the function of information
collection, data processing, and wireless communication, characterized by the
integration of wireless self-organization. However, most of the methodologies
proposed by the other institutes are suffering form the high complexity while
with the high time-consuming when processing information. Therefore, this study
is to assess the economic feasibility of using the optimized multipath protocol
availability and the increased bandwidth and several mobile operators through
the use of cost-benefit analysis, single path selection model is to develop
more path agreement to achieve better performance. To test the robustness, we
compare our method with the other state-of-the-art approach in the simulation
section and prove the effectiveness of our methodology. The experimental result
reflected that our approach could achieve higher accuracy with low
time-consuming when dealing with complex sources of information.
Keywords: Sensor Network;
Cognitive Radio Network; Collaboration for Distributed Detection; Spectrum Detection
Technology; Topology Optimization
Author: Wenzhun Huang, Xinxin
Xie, Yuting Zhang, Shanwen Zhang
Journal Code: jptkomputergg160190
