Genetic Algorithm Based Node Placement Methodology For Wireless Sensor Networks

被引：0
|
作者：
Bhondekar, Amol P. [1 ,2 ]
Vig, Renu [2 ]
Singla, Madan Lal [1 ]
Ghanshyam, C. [1 ]
Kapur, Pawan [1 ]
机构：
[1] Cent Sci Instruments Org, Sector 30, Chandigarh 160030, India
[2] Panjab Univ, Univ Inst Engn & Technol, Chandigarh 160025, India
来源：
IMECS 2009: INTERNATIONAL MULTI-CONFERENCE OF ENGINEERS AND COMPUTER SCIENTISTS, VOLS I AND II | 2009年
关键词：
Genetic Algorithms; Network Configuration; Sensor Placement; Wireless Sensor Networks;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A Genetic Algorithm based multi-objective methodology was implemented for a self-organizing wireless sensor network. Design parameters such as network density, connectivity and energy consumption are taken into account for developing the fitness function. The genetic algorithm optimizes the operational modes of the sensor nodes along with clustering schemes and transmission signal strengths. The algorithm has been implemented in MATLAB using its Genetic Algorithm toolbox along with custom codes. The optimal designs so achieved by the algorithm conform to all the design parameters.
引用
收藏
页码：106 / +
页数：2
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