Genetic Algorithm Approach improved by 2D Lifting Scheme for Sensor Node Placement in Optimal Position

被引:4
|
作者
Ganesan, T. [1 ]
Rajarajeswari, Pothuraju [1 ]
机构
[1] KLEF, Dept Comp Sci & Engn, Vaddeswaram 522502, Andhra Pradesh, India
关键词
Wireless sensor networks; Genetic algorithm; lifting scheme; Sensor Placement; target coverage; DEPLOYMENT; NETWORKS; TERRAINS;
D O I
10.1109/iss1.2019.8908030
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this smart connected world, Sensors are scattered in the environment of interest in order to perform a surveillance monitoring activity for the target operational research. In order to cover the target, sensor node placement plays a crucial role to cover maximum target and minimum node connectivity with limited nodes. Sensor data gathering can be achieved by using important principle node connectivity. Signals in sensor network carry a large amount of data and retaining important information is often more difficult. To overcome this problem we propose a genetic algorithm based node placement the result is improved by wavelets to achieve a maximum coverage and connectivity. The experimental result is carried out to improve the quality of covered data with limited sensor in optimal positions.
引用
收藏
页码:104 / 109
页数:6
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