An Efficient Node Selection Metric for In-network Process Deployment

Research output: Contribution to conferencePaper

Abstract

In-network processing is a powerful technique for reducing network traffic in an ad hoc network where network efficiency is a critical issue. When an in-network process collects data from multiple data sources, the node hosting the in-network process should be carefully selected to reduce network traffic. Existing metrics used to select the host node are unsatisfactory in this case, because they do not consider differences in the amount of data provided by each data source. In this paper, we propose a node selection metric called COLOR to solve this problem. COLOR value is derived from locations of data sources and the amount of data provided by them so that a data source that provides more data than the others has a stronger effect. Moreover, the communication overheads associated with COLOR are small, because parameters involved by COLOR can be collected during a data retrieval phase, which generally occurs in in-network processing. Simulation results show that data retrieval using COLOR produces less network traffic than that retrieved using existing metrics in environments where placements of data sources and the amount of data are nonuniform.

Original languageEnglish
DOIs
Publication statusPublished - 2008 Jan 1
Event4th Annual International Conference on Wireless Internet, WICON 2008 - Maui, United States
Duration: 2008 Nov 172008 Nov 19

Conference

Conference4th Annual International Conference on Wireless Internet, WICON 2008
CountryUnited States
CityMaui
Period08/11/1708/11/19

Fingerprint

Processing
Ad hoc networks
Communication

Keywords

  • In-network Processing
  • Mobile Ad hoc Network

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Software

Cite this

Tei, K., Fukazawa, Y., & Honiden, S. (2008). An Efficient Node Selection Metric for In-network Process Deployment. Paper presented at 4th Annual International Conference on Wireless Internet, WICON 2008, Maui, United States. https://doi.org/10.4108/ICST.WICON2008.4851

An Efficient Node Selection Metric for In-network Process Deployment. / Tei, Kenji; Fukazawa, Yoshiaki; Honiden, Shinichi.

2008. Paper presented at 4th Annual International Conference on Wireless Internet, WICON 2008, Maui, United States.

Research output: Contribution to conferencePaper

Tei, K, Fukazawa, Y & Honiden, S 2008, 'An Efficient Node Selection Metric for In-network Process Deployment' Paper presented at 4th Annual International Conference on Wireless Internet, WICON 2008, Maui, United States, 08/11/17 - 08/11/19, . https://doi.org/10.4108/ICST.WICON2008.4851
Tei K, Fukazawa Y, Honiden S. An Efficient Node Selection Metric for In-network Process Deployment. 2008. Paper presented at 4th Annual International Conference on Wireless Internet, WICON 2008, Maui, United States. https://doi.org/10.4108/ICST.WICON2008.4851
Tei, Kenji ; Fukazawa, Yoshiaki ; Honiden, Shinichi. / An Efficient Node Selection Metric for In-network Process Deployment. Paper presented at 4th Annual International Conference on Wireless Internet, WICON 2008, Maui, United States.
@conference{121ba153c80547fb88bfb2331f9ebec3,
title = "An Efficient Node Selection Metric for In-network Process Deployment",
abstract = "In-network processing is a powerful technique for reducing network traffic in an ad hoc network where network efficiency is a critical issue. When an in-network process collects data from multiple data sources, the node hosting the in-network process should be carefully selected to reduce network traffic. Existing metrics used to select the host node are unsatisfactory in this case, because they do not consider differences in the amount of data provided by each data source. In this paper, we propose a node selection metric called COLOR to solve this problem. COLOR value is derived from locations of data sources and the amount of data provided by them so that a data source that provides more data than the others has a stronger effect. Moreover, the communication overheads associated with COLOR are small, because parameters involved by COLOR can be collected during a data retrieval phase, which generally occurs in in-network processing. Simulation results show that data retrieval using COLOR produces less network traffic than that retrieved using existing metrics in environments where placements of data sources and the amount of data are nonuniform.",
keywords = "In-network Processing, Mobile Ad hoc Network",
author = "Kenji Tei and Yoshiaki Fukazawa and Shinichi Honiden",
year = "2008",
month = "1",
day = "1",
doi = "10.4108/ICST.WICON2008.4851",
language = "English",
note = "4th Annual International Conference on Wireless Internet, WICON 2008 ; Conference date: 17-11-2008 Through 19-11-2008",

}

TY - CONF

T1 - An Efficient Node Selection Metric for In-network Process Deployment

AU - Tei, Kenji

AU - Fukazawa, Yoshiaki

AU - Honiden, Shinichi

PY - 2008/1/1

Y1 - 2008/1/1

N2 - In-network processing is a powerful technique for reducing network traffic in an ad hoc network where network efficiency is a critical issue. When an in-network process collects data from multiple data sources, the node hosting the in-network process should be carefully selected to reduce network traffic. Existing metrics used to select the host node are unsatisfactory in this case, because they do not consider differences in the amount of data provided by each data source. In this paper, we propose a node selection metric called COLOR to solve this problem. COLOR value is derived from locations of data sources and the amount of data provided by them so that a data source that provides more data than the others has a stronger effect. Moreover, the communication overheads associated with COLOR are small, because parameters involved by COLOR can be collected during a data retrieval phase, which generally occurs in in-network processing. Simulation results show that data retrieval using COLOR produces less network traffic than that retrieved using existing metrics in environments where placements of data sources and the amount of data are nonuniform.

AB - In-network processing is a powerful technique for reducing network traffic in an ad hoc network where network efficiency is a critical issue. When an in-network process collects data from multiple data sources, the node hosting the in-network process should be carefully selected to reduce network traffic. Existing metrics used to select the host node are unsatisfactory in this case, because they do not consider differences in the amount of data provided by each data source. In this paper, we propose a node selection metric called COLOR to solve this problem. COLOR value is derived from locations of data sources and the amount of data provided by them so that a data source that provides more data than the others has a stronger effect. Moreover, the communication overheads associated with COLOR are small, because parameters involved by COLOR can be collected during a data retrieval phase, which generally occurs in in-network processing. Simulation results show that data retrieval using COLOR produces less network traffic than that retrieved using existing metrics in environments where placements of data sources and the amount of data are nonuniform.

KW - In-network Processing

KW - Mobile Ad hoc Network

UR - http://www.scopus.com/inward/record.url?scp=85066749632&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85066749632&partnerID=8YFLogxK

U2 - 10.4108/ICST.WICON2008.4851

DO - 10.4108/ICST.WICON2008.4851

M3 - Paper

ER -