Work

Energy-efficient spectrum-aware clustering for cognitive radio sensor networks

Year: 2012

Type: article

Abstract: As a smart combination of cognitive radio networks and wireless sensor networks, recently introduced cognitive radio sensor network (CRSN) poses new challenges to the design of topology maintenance techniques for dynamic primary-user activities. This paper aims to provide a solution to the energy-efficient spectrum-aware CRSN clustering problem. Specifically, we design the clustered structure, establish a network-wide energy consumption model and determine the optimal number of clusters. We then employ the ideas from constrained clustering and propose both a centralized spectrum-aware clustering algorithm and a distributed spectrum-aware clustering (DSAC) protocol. Through extensive simulations, we demonstrate that DSAC can effectively form clusters under a dynamic spectrum-aware constraint. Moreover, DSAC exhibits preferable scalability and stability with its low complexity and quick convergence under dynamic spectrum variation.

Source: Chinese Science Bulletin

DOI: 10.1007/s11434-012-5254-4

Authors: HuaZi Zhang, ZhaoYang Zhang, Chau Yuen

Institutions: Zhejiang University, Singapore University of Technology and Design

Language: English

Topic: Cognitive Radio Networks and Spectrum Sensing

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: hybrid

Funders: National Natural Science Foundation of China, Program for New Century Excellent Talents in University, National Key Research and Development Program of China