Self-Organization of Sensor Networks Using Genetic Algorithms

被引：0
|
作者：
Khanna, Rahul [1 ]
Liu, Huaping [3 ]
Chen, Hsiao-Hwa [2 ]
机构：
[1] Intel Corp, 2111 NE 25th Ave, Hillsboro, OR 97124 USA
[2] Natl Sun Yat Sen Univ, Inst Commun Engn, Kaohsiung 80424, Taiwan
[3] Oregon State Univ, Sch EECS, Corvallis, OR 97331 USA
来源：
2006 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS, VOLS 1-12 | 2006年
基金：
美国国家科学基金会;
关键词：
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper we propose a reduced-complexity genetic algorithm for optimization of multi-hop sensor networks. The goal of the system is to generate optimal number of sensor-clusters with cluster-heads. It results in minimization of the power-consumption of the sensor-system while maximizing the sensor objectives (coverage and exposure). The genetic algorithm is used to adaptively create various components such as cluster-members, cluster-heads, and next-cluster. These components are then used to evaluate the average fitness of the system based on the sequence of communication links towards the sink.
引用
收藏
页码：3377 / 3382
页数：6
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