A robust and energy-efficient data dissemination framework for wireless sensor networks

Wei Liu, Yanchao Zhang, Wenjing Lou, Yuguang Fang

Research output: Contribution to journalArticle

12 Citations (Scopus)

Abstract

Wireless sensor networks (WSNs) are appealing in obtaining fine-granular observations about the physical world. Due to the fact that WSNs are composed of a large number of low-cost and energy-constrained sensor nodes, along with the notorious time-varying and error-prone nature of wireless links, scalable, robust and energy-efficient data dissemination techniques are needed for the emerging WSN applications such as environment monitoring and surveillance. In this paper, we examine this emerging field from the point of view of supply chain management and propose a hybrid data dissemination framework for WSNs. In particular, for each sensing task, the whole sensor field is conceptually partitioned into several functional regions based on the supply chain management methodology. Different routing schemes are applied to different regions in order to provide better performance in terms of reliability and energy consumption. For this purpose, we also propose a novel zone flooding scheme, essentially a combination of conventional geometric routing and flooding techniques. Our hybrid data dissemination framework features low overhead, high reliability, good scalability and flexibility, and preferable energy efficiency. Detailed simulation studies are carried out to validate the effectiveness and efficiency of our scheme.

Original languageEnglish (US)
Pages (from-to)465-479
Number of pages15
JournalWireless Networks
Volume12
Issue number4
DOIs
StatePublished - Aug 2006
Externally publishedYes

Fingerprint

Wireless sensor networks
Supply chain management
Sensor nodes
Telecommunication links
Energy efficiency
Scalability
Energy utilization
Monitoring
Sensors
Costs

Keywords

  • Flooding
  • Routing
  • Sensor networks
  • Supply chain management

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Networks and Communications
  • Information Systems

Cite this

A robust and energy-efficient data dissemination framework for wireless sensor networks. / Liu, Wei; Zhang, Yanchao; Lou, Wenjing; Fang, Yuguang.

In: Wireless Networks, Vol. 12, No. 4, 08.2006, p. 465-479.

Research output: Contribution to journalArticle

Liu, Wei ; Zhang, Yanchao ; Lou, Wenjing ; Fang, Yuguang. / A robust and energy-efficient data dissemination framework for wireless sensor networks. In: Wireless Networks. 2006 ; Vol. 12, No. 4. pp. 465-479.
@article{7f017c36567544088bf29e153cb26591,
title = "A robust and energy-efficient data dissemination framework for wireless sensor networks",
abstract = "Wireless sensor networks (WSNs) are appealing in obtaining fine-granular observations about the physical world. Due to the fact that WSNs are composed of a large number of low-cost and energy-constrained sensor nodes, along with the notorious time-varying and error-prone nature of wireless links, scalable, robust and energy-efficient data dissemination techniques are needed for the emerging WSN applications such as environment monitoring and surveillance. In this paper, we examine this emerging field from the point of view of supply chain management and propose a hybrid data dissemination framework for WSNs. In particular, for each sensing task, the whole sensor field is conceptually partitioned into several functional regions based on the supply chain management methodology. Different routing schemes are applied to different regions in order to provide better performance in terms of reliability and energy consumption. For this purpose, we also propose a novel zone flooding scheme, essentially a combination of conventional geometric routing and flooding techniques. Our hybrid data dissemination framework features low overhead, high reliability, good scalability and flexibility, and preferable energy efficiency. Detailed simulation studies are carried out to validate the effectiveness and efficiency of our scheme.",
keywords = "Flooding, Routing, Sensor networks, Supply chain management",
author = "Wei Liu and Yanchao Zhang and Wenjing Lou and Yuguang Fang",
year = "2006",
month = "8",
doi = "10.1007/s11276-006-6546-x",
language = "English (US)",
volume = "12",
pages = "465--479",
journal = "Wireless Networks",
issn = "1022-0038",
publisher = "Springer Netherlands",
number = "4",

}

TY - JOUR

T1 - A robust and energy-efficient data dissemination framework for wireless sensor networks

AU - Liu, Wei

AU - Zhang, Yanchao

AU - Lou, Wenjing

AU - Fang, Yuguang

PY - 2006/8

Y1 - 2006/8

N2 - Wireless sensor networks (WSNs) are appealing in obtaining fine-granular observations about the physical world. Due to the fact that WSNs are composed of a large number of low-cost and energy-constrained sensor nodes, along with the notorious time-varying and error-prone nature of wireless links, scalable, robust and energy-efficient data dissemination techniques are needed for the emerging WSN applications such as environment monitoring and surveillance. In this paper, we examine this emerging field from the point of view of supply chain management and propose a hybrid data dissemination framework for WSNs. In particular, for each sensing task, the whole sensor field is conceptually partitioned into several functional regions based on the supply chain management methodology. Different routing schemes are applied to different regions in order to provide better performance in terms of reliability and energy consumption. For this purpose, we also propose a novel zone flooding scheme, essentially a combination of conventional geometric routing and flooding techniques. Our hybrid data dissemination framework features low overhead, high reliability, good scalability and flexibility, and preferable energy efficiency. Detailed simulation studies are carried out to validate the effectiveness and efficiency of our scheme.

AB - Wireless sensor networks (WSNs) are appealing in obtaining fine-granular observations about the physical world. Due to the fact that WSNs are composed of a large number of low-cost and energy-constrained sensor nodes, along with the notorious time-varying and error-prone nature of wireless links, scalable, robust and energy-efficient data dissemination techniques are needed for the emerging WSN applications such as environment monitoring and surveillance. In this paper, we examine this emerging field from the point of view of supply chain management and propose a hybrid data dissemination framework for WSNs. In particular, for each sensing task, the whole sensor field is conceptually partitioned into several functional regions based on the supply chain management methodology. Different routing schemes are applied to different regions in order to provide better performance in terms of reliability and energy consumption. For this purpose, we also propose a novel zone flooding scheme, essentially a combination of conventional geometric routing and flooding techniques. Our hybrid data dissemination framework features low overhead, high reliability, good scalability and flexibility, and preferable energy efficiency. Detailed simulation studies are carried out to validate the effectiveness and efficiency of our scheme.

KW - Flooding

KW - Routing

KW - Sensor networks

KW - Supply chain management

UR - http://www.scopus.com/inward/record.url?scp=33745640554&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=33745640554&partnerID=8YFLogxK

U2 - 10.1007/s11276-006-6546-x

DO - 10.1007/s11276-006-6546-x

M3 - Article

AN - SCOPUS:33745640554

VL - 12

SP - 465

EP - 479

JO - Wireless Networks

JF - Wireless Networks

SN - 1022-0038

IS - 4

ER -