A bio-inspired swarm intelligence technique for social aware cognitive radio handovers

被引：78

作者：

Anandakumar, H. ^{[1
]}

Umamaheswari, K. ^{[2
]}

机构：

[1] Akshaya Coll Engn & Technol, Dept Comp Sci & Engn, Coimbatore, Tamil Nadu, India

[2] PSG Coll Technol, Dept Informat Technol, Coimbatore, Tamil Nadu, India

来源：

COMPUTERS & ELECTRICAL ENGINEERING | 2018年 / 71卷

关键词：

Social cognitive radio networks; Social mining; Social cognitive services and application; Cognitive radio; Dynamic spectrum access; Handover decision; ALLOCATION; ALGORITHM; NETWORKS;

D O I：

10.1016/j.compeleceng.2017.09.016

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

A novel dynamic spectrum sharing method inspired by natural communities based on social language has been proposed to overcome prevailing spectrum underutilization and scarcity. The Social Cognitive Radio Network (SCRN) combines social data and mobile communication network by providing a range of data delivery services concerning social relationship among mobile users. The research focuses on diverse SCRN applications and its handover issues, a bio-intelligent supervised learning approach called SpecPSO is devised for performing social cognitive handover (SCH) to: a) Evaluate efficient spectrum utilization and b) Increase data rate for applications like Facebook, Linkedln. Experimental results show that the proposed SCH-SpecPSO outperforms 75% more than state of art mobile social networks by optimizing various handover issues. (C) 2017 Elsevier Ltd. All rights reserved.

引用

页码：925 / 937

页数：13

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