版权说明 操作指南
首页 > 成果 > 详情

Optimal Model for Energy-Efficient Clustering in Wireless Sensor Networks Using Global Simulated Annealing Genetic Algorithm

认领
导出
Link by DOI
反馈
分享
QQ微信 微博
成果类型:
期刊论文、会议论文
作者:
Zhang, Jianming*;Lin, Yaping;Zhou, Cuihong;Ouyang, Jingcheng
通讯作者:
Zhang, Jianming
作者机构:
[Zhang, Jianming; Ouyang, Jingcheng; Lin, Yaping] Hunan Univ, Coll Comp & Commun, Changsha 410082, Hunan, Peoples R China.
[Zhou, Cuihong; Zhang, Jianming] Hunan City Univ, Dept Comp Sci, Yiyang 413000, Hunan, Peoples R China.
[Lin, Yaping] Hunan Univ, Coll Software, Changsha 410082, Hunan, Peoples R China.
通讯机构:
[Zhang, Jianming] H
Hunan Univ, Coll Comp & Commun, Changsha 410082, Hunan, Peoples R China.
语种:
英文
关键词:
energy-efficient clustering;global simulated annealing genetic algorithm;wireless sensor networks
期刊:
2008 INTERNATIONAL SYMPOSIUM ON INTELLIGENT INFORMATION TECHNOLOGY APPLICATION WORKSHOP: IITA 2008 WORKSHOPS, PROCEEDINGS
年:
2008
页码:
656-660
会议名称:
2nd International Symposium on Intelligent Information Technology Application
会议时间:
DEC 21-22, 2008
会议地点:
Shanghai, PEOPLES R CHINA
会议主办单位:
[Zhang, Jianming;Lin, Yaping;Ouyang, Jingcheng] Hunan Univ, Coll Comp & Commun, Changsha 410082, Hunan, Peoples R China.^[Zhang, Jianming;Zhou, Cuihong] Hunan City Univ, Dept Comp Sci, Yiyang 413000, Hunan, Peoples R China.^[Lin, Yaping] Hunan Univ, Coll Software, Changsha 410082, Hunan, Peoples R China.
会议赞助商:
IEEE Comp Soc, IEEE, Intelligent Informat Technol Applicat Res, IEEE Circuits & Syst Soc
主编:
Luo, J
出版地:
10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1264 USA
出版者:
IEEE COMPUTER SOC
ISBN:
978-0-7695-3505-0
基金类别:
National Hi-Tech Research and Development 863 Program of China [2006AA01Z227]; Scientific Research Fund of Hunan Provincial Construction Department [200609]; Scientific Research Fund of Hunan Provincial Education Department [08C195]
机构署名:
本校为其他机构
院系归属:
信息与电子工程学院
摘要:
Since the operations of sensors in wireless sensor networks (WSNs) mainly rely on battery energy, energy consumption becomes an important issue. In this paper, we use a global simulated annealing genetic algorithm (GSAGA) to create energy efficient clusters for routing in WSNs. The simulation results show that the proposed GSAGA algorithm has higher efficiency and can achieve better network lifetime and data delivery at the base station th...

反馈

验证码:
看不清楚,换一个
确定
取消

成果认领

标题:
用户 作者 通讯作者
请选择
请选择
确定
取消

提示

该栏目需要登录且有访问权限才可以访问

如果您有访问权限,请直接 登录访问

如果您没有访问权限,请联系管理员申请开通

管理员联系邮箱:yun@hnwdkj.com