Coverage prediction model and number estimation for directional sensor networks

被引：0

作者：

Liu Z.-M. ^{[1
]}

Jia W.-J. ^{[2
]}

Wang G.-J. ^{[1
,3
]}

机构：

[1] School of Information Science and Engineering, Central South University, Changsha

[2] School of Electronic Information and Electrical Engineering, Shanghai Jiaotong University, Shanghai

[3] School of Computer Science and Educational Software, Guangzhou University, Guangzhou

来源：

Ruan Jian Xue Bao/Journal of Software | 2016年 / 27卷 / 12期

基金：

中国国家自然科学基金;

关键词：

Coverage; Coverage control; Directional sensor network; Node prediction; Sensing range;

D O I：

10.13328/j.cnki.jos.004949

中图分类号：

学科分类号：

摘要：

Recently, directional sensor networks (DSN) have received a great deal of attention due to their wide range of applications. Unlike conventional omni-directional sensors that always have an omni-angle of sensing range, a DSN is composed of many directional sensors which have a limited angle of sensing range due to technical constraints or cost considerations. This paper studies coverage prediction and number estimation model for directional sensor networks. Aiming at better guiding initial deployment of DSN, a novel probability-based networks coverage prediction model with the boundary effects named PCPMB is proposed. Simulation results show that the proposed model outperforms the previous published model without boundary effect. © Copyright 2016, Institute of Software, the Chinese Academy of Sciences. All rights reserved.

引用

页码：3120 / 3130

页数：10

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