Research on weak greedy routing over graph embedding for wireless sensor networks

The greedy routing in sensor networks can be classified into two categories,strong greedy routing and weak greedy routing.The weak greedy routing protocol needs geographic location and strong greedy routing needs greedy em-bedding network.In order to solve these problems and minimize operation compl...

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Main Authors: LI Zhi-gang1, CHEN Wei-wei1, XIAO Nong2, XIA Ge-ming2
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2011-01-01
Series:Tongxin xuebao
Subjects:
Online Access:http://www.joconline.com.cn/zh/article/74412732/
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author LI Zhi-gang1
CHEN Wei-wei1
XIAO Nong2
XIA Ge-ming2
author_facet LI Zhi-gang1
CHEN Wei-wei1
XIAO Nong2
XIA Ge-ming2
author_sort LI Zhi-gang1
collection DOAJ
description The greedy routing in sensor networks can be classified into two categories,strong greedy routing and weak greedy routing.The weak greedy routing protocol needs geographic location and strong greedy routing needs greedy em-bedding network.In order to solve these problems and minimize operation complexity and energy overhead,a light-weight tree-based network embedding graph(TNEG) was proposed and over the TNEG,a local monotone function was designed and two routing rules were proposed,then two weak greedy routing protocols,TGR and biTGR were de-signed.The simulation shows two protocols achieve good performance on path stretch factor and load balance factor.
format Article
id doaj-art-7947a091725442ec8d8dd64699f042cc
institution Kabale University
issn 1000-436X
language zho
publishDate 2011-01-01
publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-7947a091725442ec8d8dd64699f042cc2025-01-14T08:15:07ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2011-01-0132889574412732Research on weak greedy routing over graph embedding for wireless sensor networksLI Zhi-gang1CHEN Wei-wei1XIAO Nong2XIA Ge-ming2The greedy routing in sensor networks can be classified into two categories,strong greedy routing and weak greedy routing.The weak greedy routing protocol needs geographic location and strong greedy routing needs greedy em-bedding network.In order to solve these problems and minimize operation complexity and energy overhead,a light-weight tree-based network embedding graph(TNEG) was proposed and over the TNEG,a local monotone function was designed and two routing rules were proposed,then two weak greedy routing protocols,TGR and biTGR were de-signed.The simulation shows two protocols achieve good performance on path stretch factor and load balance factor.http://www.joconline.com.cn/zh/article/74412732/sensor networksgreedy routingnetwork embeddingload balancedata storage
spellingShingle LI Zhi-gang1
CHEN Wei-wei1
XIAO Nong2
XIA Ge-ming2
Research on weak greedy routing over graph embedding for wireless sensor networks
Tongxin xuebao
sensor networks
greedy routing
network embedding
load balance
data storage
title Research on weak greedy routing over graph embedding for wireless sensor networks
title_full Research on weak greedy routing over graph embedding for wireless sensor networks
title_fullStr Research on weak greedy routing over graph embedding for wireless sensor networks
title_full_unstemmed Research on weak greedy routing over graph embedding for wireless sensor networks
title_short Research on weak greedy routing over graph embedding for wireless sensor networks
title_sort research on weak greedy routing over graph embedding for wireless sensor networks
topic sensor networks
greedy routing
network embedding
load balance
data storage
url http://www.joconline.com.cn/zh/article/74412732/
work_keys_str_mv AT lizhigang1 researchonweakgreedyroutingovergraphembeddingforwirelesssensornetworks
AT chenweiwei1 researchonweakgreedyroutingovergraphembeddingforwirelesssensornetworks
AT xiaonong2 researchonweakgreedyroutingovergraphembeddingforwirelesssensornetworks
AT xiageming2 researchonweakgreedyroutingovergraphembeddingforwirelesssensornetworks