A Bayesian network approach to a biologically inspired motion strategy for mobile wireless sensor networks

被引：6

作者：

Coles, Matthew D. ^{[1
]}

Azzi, Djamel ^{[1
]}

Haynes, Barry P. ^{[1
]}

Hewitt, Alan ^{[1
]}

机构：

[1] Univ Portsmouth, Dept Elect & Comp Engn, Portsmouth PO1 3DJ, Hants, England

来源：

AD HOC NETWORKS | 2009年 / 7卷 / 06期

关键词：

Bayesian networks; Connectivity; Coverage; Lifetime; Mobility; Wireless sensor networks; Fault tolerant networks;

D O I：

10.1016/j.adhoc.2008.11.002

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Mobility strategies for wireless sensor networks (WSNs) are presented. We introduce a grazing mobility strategy for mobile WSNs, inspired by the foraging behaviour of herbivores grazing pastures. We present Bayesian network GRAZing (BNGRAZ) that implements the proposed WSN grazing strategy. BNGRAZ uses local neighbourhood information to predict coverage and connectivity performance changes related to sensor node motion characteristics. This enables a sensor node to predict the performance implications related to its direction of movement. We implement the BNGRAZ approach to grazing in a custom built mobile WSN simulator. The WSN performance criteria considered during the validation process include coverage, redundancy, connectivity, and network lifetime. (C) 2008 Elsevier B.V. All rights reserved.

引用

页码：1217 / 1228

页数：12

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