Data rate adaptive route optimization for sink mobility support in wireless sensor networks

Jeongsik In; Jae Wan Kim; Kwang Il Hwang; Jihoon Lee; Doo Seop Eom

doi:10.1007/11951957_7

Data rate adaptive route optimization for sink mobility support in wireless sensor networks

Jeongsik In, Jae Wan Kim, Kwang Il Hwang, Jihoon Lee, Doo Seop Eom

Graduate School of management of technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Mobile sinks pose several challenges for network protocol design. While moving, a sink should continuously update its topological position information in the sensor nodes to maintain paths. This may require large signaling overhead, resulting in excessive energy consumption. Various schemes have been proposed to reduce the path management overhead. In many of these schemes, the sinks only maintain paths from active sources to reduce the overhead. While reducing the path management overhead, this approach introduces other problems. In this paper, Data Rate Adaptive Route Optimization (DRARO) scheme is proposed. DRARO provides a method for adjusting the route optimization level depending on the amount of data traffic, to minimize overall energy consumption. In addition, DRARO provides ceaseless connection for every sensor nodes and its performance is not affected by the number or movement of the sensing targets.

Original language	English
Title of host publication	Distributed Computing and Internet Technology - 3rd International Conference, ICDCIT 2006
Editors	Sanjay K. Madria, Kajal T. Claypool, Rajgopal Kannan, Prem Uppuluri, Manoj Madhava Gore
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	73-80
Number of pages	8
ISBN (Print)	9783540683797
DOIs	https://doi.org/10.1007/11951957_7
Publication status	Published - 2006
Event	3rd International Conference on Distributed Computing and Internet Technology, ICDCIT 2006 - Bhubaneswar, India Duration: 2006 Dec 20 → 2006 Dec 23

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	4317
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	3rd International Conference on Distributed Computing and Internet Technology, ICDCIT 2006
Country/Territory	India
City	Bhubaneswar
Period	06/12/20 → 06/12/23

Keywords

Mobility
Routing
Sensor networks

ASJC Scopus subject areas

Theoretical Computer Science
Computer Science(all)

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/11951957_7

Cite this

In, J., Kim, J. W., Hwang, K. I., Lee, J., & Eom, D. S. (2006). Data rate adaptive route optimization for sink mobility support in wireless sensor networks. In S. K. Madria, K. T. Claypool, R. Kannan, P. Uppuluri, & M. M. Gore (Eds.), Distributed Computing and Internet Technology - 3rd International Conference, ICDCIT 2006 (pp. 73-80). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4317). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/11951957_7

Data rate adaptive route optimization for sink mobility support in wireless sensor networks. / In, Jeongsik; Kim, Jae Wan; Hwang, Kwang Il et al.
Distributed Computing and Internet Technology - 3rd International Conference, ICDCIT 2006. ed. / Sanjay K. Madria; Kajal T. Claypool; Rajgopal Kannan; Prem Uppuluri; Manoj Madhava Gore. Springer Science and Business Media Deutschland GmbH, 2006. p. 73-80 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4317).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

In, J, Kim, JW, Hwang, KI, Lee, J & Eom, DS 2006, Data rate adaptive route optimization for sink mobility support in wireless sensor networks. in SK Madria, KT Claypool, R Kannan, P Uppuluri & MM Gore (eds), Distributed Computing and Internet Technology - 3rd International Conference, ICDCIT 2006. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4317, Springer Science and Business Media Deutschland GmbH, pp. 73-80, 3rd International Conference on Distributed Computing and Internet Technology, ICDCIT 2006, Bhubaneswar, India, 06/12/20. https://doi.org/10.1007/11951957_7

In J, Kim JW, Hwang KI, Lee J, Eom DS. Data rate adaptive route optimization for sink mobility support in wireless sensor networks. In Madria SK, Claypool KT, Kannan R, Uppuluri P, Gore MM, editors, Distributed Computing and Internet Technology - 3rd International Conference, ICDCIT 2006. Springer Science and Business Media Deutschland GmbH. 2006. p. 73-80. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/11951957_7

In, Jeongsik ; Kim, Jae Wan ; Hwang, Kwang Il et al. / Data rate adaptive route optimization for sink mobility support in wireless sensor networks. Distributed Computing and Internet Technology - 3rd International Conference, ICDCIT 2006. editor / Sanjay K. Madria ; Kajal T. Claypool ; Rajgopal Kannan ; Prem Uppuluri ; Manoj Madhava Gore. Springer Science and Business Media Deutschland GmbH, 2006. pp. 73-80 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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AU - In, Jeongsik

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AU - Lee, Jihoon

AU - Eom, Doo Seop

N1 - Funding Information: Acknowledgments. This research was supported by the MIC (Ministry of Information and Communication), Korea, under the ITRC (Information Technology Research Center) support program supervised by the IITA (Institute of Information Technology Assessment). Publisher Copyright: © Springer-Verlag Berlin Heidelberg 2006.

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N2 - Mobile sinks pose several challenges for network protocol design. While moving, a sink should continuously update its topological position information in the sensor nodes to maintain paths. This may require large signaling overhead, resulting in excessive energy consumption. Various schemes have been proposed to reduce the path management overhead. In many of these schemes, the sinks only maintain paths from active sources to reduce the overhead. While reducing the path management overhead, this approach introduces other problems. In this paper, Data Rate Adaptive Route Optimization (DRARO) scheme is proposed. DRARO provides a method for adjusting the route optimization level depending on the amount of data traffic, to minimize overall energy consumption. In addition, DRARO provides ceaseless connection for every sensor nodes and its performance is not affected by the number or movement of the sensing targets.

AB - Mobile sinks pose several challenges for network protocol design. While moving, a sink should continuously update its topological position information in the sensor nodes to maintain paths. This may require large signaling overhead, resulting in excessive energy consumption. Various schemes have been proposed to reduce the path management overhead. In many of these schemes, the sinks only maintain paths from active sources to reduce the overhead. While reducing the path management overhead, this approach introduces other problems. In this paper, Data Rate Adaptive Route Optimization (DRARO) scheme is proposed. DRARO provides a method for adjusting the route optimization level depending on the amount of data traffic, to minimize overall energy consumption. In addition, DRARO provides ceaseless connection for every sensor nodes and its performance is not affected by the number or movement of the sensing targets.

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Data rate adaptive route optimization for sink mobility support in wireless sensor networks

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

UN SDGs

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