Artificial Bee Colony Algorithm for Probabilistic Target Q-coverage in Wireless Sensor Networks

被引：0

作者：

Mini, S. ^{[1
]}

Udgata, Siba K. ^{[2
]}

Sabat, Samrat L. ^{[3
]}

机构：

[1] Cent Univ Rajasthan, Sch Engn & Technol, Dept Comp Sci & Engn, Ajmer, Rajasthan, India

[2] Univ Hyderabad, Sch Comp & Informat Sci, Hyderabad 500046, Andhra Pradesh, India

[3] Univ Hyderabad, Sch Phys, Hyderabad 500046, Andhra Pradesh, India

来源：

SWARM, EVOLUTIONARY, AND MEMETIC COMPUTING, PT I (SEMCCO 2013) | 2013年 / 8297卷

关键词：

Sensor Deployment; Target Coverage; Q-Coverage; ABC Algorithm; EFFICIENT ALGORITHM; DYNAMIC DEPLOYMENT;

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：

The lifetime of a wireless sensor network is dependent on the type of sensor deployment. If the application permits deterministic deployment of nodes and if the sensor nodes are limited, quality of sensing and energy conservation can be enhanced by restricting the sensing range requirement. This paper addresses deterministic deployment of nodes for probabilistic target Q-coverage. A probabilistic coverage model considers the effect of distance and medium on the sensing ability of a node. We use Artificial Bee Colony (ABC) algorithm to compute the optimal deployment of sensor nodes such that the required sensing range is minimum for probabilistic target Q-coverage.

引用

页码：446 / 456

页数：11

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