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

作　　者：ZHANG HuaZi ZHANG ZhaoYang YUEN Chau 

机构地区：[1]Department of Information Science and Electronic Engineering,Zhejiang University,Hangzhou 310027,China [2]Zhejiang Provincial Key Laboratory of Information Network Technology,Hangzhou 310027,China [3]Singapore University of Technology and Design,Singapore

出　　处：《Chinese Science Bulletin》2012年第28期3731-3739,共9页

基　　金：supported by the National Basic Research Program of China (2009CB320405 and 2012CB316104);the National Natural Science Foundation of China (60972057);the Supporting Program for New Century Excellent Talents in Universities (NCET-09-0701)

摘　　要：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.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 dis- tributed 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.

关 键 词：无线传感器网络 认知无线电 频谱 感知 集群 节能高效 聚类问题 无线电网络 

分 类 号：TP212[自动化与计算机技术—检测技术与自动化装置] TN92[自动化与计算机技术—控制科学与工程]