Joint topology control and power conservation for wireless sensor networks using transmit power adjustment

Deying Li; Hongwei Du; Lin Liu; Scott C. -H. Huang

doi:10.1007/978-3-540-69733-6_53

Joint topology control and power conservation for wireless sensor networks using transmit power adjustment

Deying Li
, Hongwei Du
, Lin Liu
, Scott C. -H. Huang

Department of Computer Science

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

5 Citations (Scopus)

Abstract

Topology control with individual node transmission power adjustment in wireless sensor networks has shown to be effective in increasing network capacity and prolonging network lifetime. In this paper, we focus on the strong minimum power restricted topology control problem, which to adjust the limited transmission power for each sensor node to find a power assignment to reserve strong connectivity and achieve minimum energy cost in the wireless sensor network. We proposed three heuristics based on the problem. Simulation results have demonstrated the efficiency of three heuristics. © 2008 Springer-Verlag Berlin Heidelberg.

Original language	English
Title of host publication	Computing and Combinatorics - 14th Annual International Conference, COCOON 2008, Proceedings
Pages	541-550
Volume	5092 LNCS
DOIs	https://doi.org/10.1007/978-3-540-69733-6_53
Publication status	Published - 2008
Event	14th Annual International Conference on Computing and Combinatorics, COCOON 2008 - Dalian, China Duration: 27 Jun 2008 → 29 Jun 2008

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	5092 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	14th Annual International Conference on Computing and Combinatorics, COCOON 2008
Place	China
City	Dalian
Period	27/06/08 → 29/06/08

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

Funding

This work was supported in part by the National Natural Science Foundation of China under Grant No. 10671208.

Research Keywords

Power threshold
Strong connectivity
Topology control
Wireless sensor networks

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10.1007/978-3-540-69733-6_53

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Li, D., Du, H., Liu, L., & Huang, S. C. .-H. (2008). Joint topology control and power conservation for wireless sensor networks using transmit power adjustment. In Computing and Combinatorics - 14th Annual International Conference, COCOON 2008, Proceedings (Vol. 5092 LNCS, pp. 541-550). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5092 LNCS). https://doi.org/10.1007/978-3-540-69733-6_53

Li, Deying ; Du, Hongwei ; Liu, Lin et al. / Joint topology control and power conservation for wireless sensor networks using transmit power adjustment. Computing and Combinatorics - 14th Annual International Conference, COCOON 2008, Proceedings. Vol. 5092 LNCS 2008. pp. 541-550 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "Topology control with individual node transmission power adjustment in wireless sensor networks has shown to be effective in increasing network capacity and prolonging network lifetime. In this paper, we focus on the strong minimum power restricted topology control problem, which to adjust the limited transmission power for each sensor node to find a power assignment to reserve strong connectivity and achieve minimum energy cost in the wireless sensor network. We proposed three heuristics based on the problem. Simulation results have demonstrated the efficiency of three heuristics. {\textcopyright} 2008 Springer-Verlag Berlin Heidelberg.",

keywords = "Power threshold, Strong connectivity, Topology control, Wireless sensor networks",

author = "Deying Li and Hongwei Du and Lin Liu and Huang, \{Scott C. -H.\}",

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Li, D, Du, H, Liu, L & Huang, SC-H 2008, Joint topology control and power conservation for wireless sensor networks using transmit power adjustment. in Computing and Combinatorics - 14th Annual International Conference, COCOON 2008, Proceedings. vol. 5092 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5092 LNCS, pp. 541-550, 14th Annual International Conference on Computing and Combinatorics, COCOON 2008, Dalian, China, 27/06/08. https://doi.org/10.1007/978-3-540-69733-6_53

Joint topology control and power conservation for wireless sensor networks using transmit power adjustment. / Li, Deying; Du, Hongwei; Liu, Lin et al.
Computing and Combinatorics - 14th Annual International Conference, COCOON 2008, Proceedings. Vol. 5092 LNCS 2008. p. 541-550 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5092 LNCS).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - Joint topology control and power conservation for wireless sensor networks using transmit power adjustment

AU - Li, Deying

AU - Du, Hongwei

AU - Liu, Lin

AU - Huang, Scott C. -H.

N1 - Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

PY - 2008

Y1 - 2008

N2 - Topology control with individual node transmission power adjustment in wireless sensor networks has shown to be effective in increasing network capacity and prolonging network lifetime. In this paper, we focus on the strong minimum power restricted topology control problem, which to adjust the limited transmission power for each sensor node to find a power assignment to reserve strong connectivity and achieve minimum energy cost in the wireless sensor network. We proposed three heuristics based on the problem. Simulation results have demonstrated the efficiency of three heuristics. © 2008 Springer-Verlag Berlin Heidelberg.

AB - Topology control with individual node transmission power adjustment in wireless sensor networks has shown to be effective in increasing network capacity and prolonging network lifetime. In this paper, we focus on the strong minimum power restricted topology control problem, which to adjust the limited transmission power for each sensor node to find a power assignment to reserve strong connectivity and achieve minimum energy cost in the wireless sensor network. We proposed three heuristics based on the problem. Simulation results have demonstrated the efficiency of three heuristics. © 2008 Springer-Verlag Berlin Heidelberg.

KW - Power threshold

KW - Strong connectivity

KW - Topology control

KW - Wireless sensor networks

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U2 - 10.1007/978-3-540-69733-6_53

DO - 10.1007/978-3-540-69733-6_53

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 3540697322

SN - 9783540697329

VL - 5092 LNCS

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 541

EP - 550

BT - Computing and Combinatorics - 14th Annual International Conference, COCOON 2008, Proceedings

T2 - 14th Annual International Conference on Computing and Combinatorics, COCOON 2008

Y2 - 27 June 2008 through 29 June 2008

ER -

Li D, Du H, Liu L, Huang SCH. Joint topology control and power conservation for wireless sensor networks using transmit power adjustment. In Computing and Combinatorics - 14th Annual International Conference, COCOON 2008, Proceedings. Vol. 5092 LNCS. 2008. p. 541-550. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-540-69733-6_53

Joint topology control and power conservation for wireless sensor networks using transmit power adjustment

Abstract

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Research Keywords

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