Sustainability Enhancement Multihop Clustering in Cognitive Radio Sensor Networks | Zendy

Jong-Hong Park | Zendy; Yeonghun Nam | Zendy; JongMoon Chung | Zendy

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Sustainability Enhancement Multihop Clustering in Cognitive Radio Sensor Networks

Author(s) -

Jong-Hong Park,

Yeonghun Nam,

JongMoon Chung

Publication year - 2015

Publication title -

international journal of distributed sensor networks

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.324

H-Index - 53

eISSN - 1550-1477

pISSN - 1550-1329

DOI - 10.1155/2015/574340

Subject(s) - computer science , cluster analysis , network packet , cognitive radio , base station , computer network , energy consumption , wireless sensor network , node (physics) , transmission (telecommunications) , efficient energy use , data transmission , real time computing , wireless , telecommunications , artificial intelligence , electrical engineering , structural engineering , engineering

A cognitive radio based hybrid data-type clustering (CR-HDC) algorithm is proposed to maximize network energy efficiency of cognitive radio (CR) sensor networks (CRSNs). By analyzing the overall energy consumption of CRSNs under various conditions, the optimal transmission range of a sensor node can be obtained for both when spectrum handoff (SHO) is applied and when it is not. Simulation results show that CR-HDC achieves performance enhancements in terms of network lifetime and the number of packets received at the base station (BS) compared to when applying the centralized low energy adaptive clustering hierarchy (LEACH-C) or hybrid data-type clustering (HDC) to CRSN environments.

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