Energy efficient data aggregation in solar sensor networks

Jianhui Zhang; Shaojie Tang; Xingfa Shen; Guojun Dai

doi:10.1007/978-3-642-23490-3_11

Energy efficient data aggregation in solar sensor networks

Jianhui Zhang
, Shaojie Tang
, Xingfa Shen
, Guojun Dai

Management Science and Systems

Hangzhou Dianzi University

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

Abstract

Solar sensor nodes, equipped with micro-solar subsystems [1], provide a new way to harvest ambient energy and also bring new challenges. This paper constructs an Energy Efficient Data Aggregation Tree (EDAT) based on a Maximal Weighted Connected Dominator Set (MaCDS). EDAT arms to prolong the network lifetime by minimizing the difference of energy consumption among solar nodes while we consider that harvested energy H randomly and uniformly distributes in the interval [H_min], H_max]. The total energy consumption difference of EDAT is at most 5H̄|S|²/n-1, where H̄ = |[H_min], H_max]| and S is the dominator set.

Original language	English
Title of host publication	Wireless Algorithms, Systems, and Applications - 6th International Conference, WASA 2011, Proceedings
Pages	119-133
Number of pages	15
DOIs	https://doi.org/10.1007/978-3-642-23490-3_11
State	Published - 2011
Event	6th International Conference on Wireless Algorithms, Systems, and Applications, WASA 2011 - Chengdu, China Duration: Aug 11 2011 → Aug 13 2011

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	6843 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	6th International Conference on Wireless Algorithms, Systems, and Applications, WASA 2011
Country/Territory	China
City	Chengdu
Period	08/11/11 → 08/13/11

Keywords

CDS
Energy Harvest
Solar Node

Access to Document

10.1007/978-3-642-23490-3_11

Cite this

Zhang, J., Tang, S., Shen, X., & Dai, G. (2011). Energy efficient data aggregation in solar sensor networks. In Wireless Algorithms, Systems, and Applications - 6th International Conference, WASA 2011, Proceedings (pp. 119-133). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6843 LNCS). https://doi.org/10.1007/978-3-642-23490-3_11

Zhang, Jianhui ; Tang, Shaojie ; Shen, Xingfa et al. / Energy efficient data aggregation in solar sensor networks. Wireless Algorithms, Systems, and Applications - 6th International Conference, WASA 2011, Proceedings. 2011. pp. 119-133 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Energy efficient data aggregation in solar sensor networks",

abstract = "Solar sensor nodes, equipped with micro-solar subsystems [1], provide a new way to harvest ambient energy and also bring new challenges. This paper constructs an Energy Efficient Data Aggregation Tree (EDAT) based on a Maximal Weighted Connected Dominator Set (MaCDS). EDAT arms to prolong the network lifetime by minimizing the difference of energy consumption among solar nodes while we consider that harvested energy H randomly and uniformly distributes in the interval [Hmin], Hmax]. The total energy consumption difference of EDAT is at most 5{\=H}|S|2/n-1, where {\=H} = |[Hmin], Hmax]| and S is the dominator set.",

keywords = "CDS, Energy Harvest, Solar Node",

author = "Jianhui Zhang and Shaojie Tang and Xingfa Shen and Guojun Dai",

year = "2011",

doi = "10.1007/978-3-642-23490-3\_11",

language = "English",

isbn = "9783642234897",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

pages = "119--133",

booktitle = "Wireless Algorithms, Systems, and Applications - 6th International Conference, WASA 2011, Proceedings",

note = "6th International Conference on Wireless Algorithms, Systems, and Applications, WASA 2011 ; Conference date: 11-08-2011 Through 13-08-2011",

}

Zhang, J, Tang, S, Shen, X & Dai, G 2011, Energy efficient data aggregation in solar sensor networks. in Wireless Algorithms, Systems, and Applications - 6th International Conference, WASA 2011, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 6843 LNCS, pp. 119-133, 6th International Conference on Wireless Algorithms, Systems, and Applications, WASA 2011, Chengdu, China, 08/11/11. https://doi.org/10.1007/978-3-642-23490-3_11

Energy efficient data aggregation in solar sensor networks. / Zhang, Jianhui; Tang, Shaojie; Shen, Xingfa et al.
Wireless Algorithms, Systems, and Applications - 6th International Conference, WASA 2011, Proceedings. 2011. p. 119-133 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6843 LNCS).

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

TY - GEN

T1 - Energy efficient data aggregation in solar sensor networks

AU - Zhang, Jianhui

AU - Tang, Shaojie

AU - Shen, Xingfa

AU - Dai, Guojun

PY - 2011

Y1 - 2011

N2 - Solar sensor nodes, equipped with micro-solar subsystems [1], provide a new way to harvest ambient energy and also bring new challenges. This paper constructs an Energy Efficient Data Aggregation Tree (EDAT) based on a Maximal Weighted Connected Dominator Set (MaCDS). EDAT arms to prolong the network lifetime by minimizing the difference of energy consumption among solar nodes while we consider that harvested energy H randomly and uniformly distributes in the interval [Hmin], Hmax]. The total energy consumption difference of EDAT is at most 5H̄|S|2/n-1, where H̄ = |[Hmin], Hmax]| and S is the dominator set.

AB - Solar sensor nodes, equipped with micro-solar subsystems [1], provide a new way to harvest ambient energy and also bring new challenges. This paper constructs an Energy Efficient Data Aggregation Tree (EDAT) based on a Maximal Weighted Connected Dominator Set (MaCDS). EDAT arms to prolong the network lifetime by minimizing the difference of energy consumption among solar nodes while we consider that harvested energy H randomly and uniformly distributes in the interval [Hmin], Hmax]. The total energy consumption difference of EDAT is at most 5H̄|S|2/n-1, where H̄ = |[Hmin], Hmax]| and S is the dominator set.

KW - CDS

KW - Energy Harvest

KW - Solar Node

UR - https://www.scopus.com/pages/publications/80052243640

U2 - 10.1007/978-3-642-23490-3_11

DO - 10.1007/978-3-642-23490-3_11

M3 - Conference contribution

AN - SCOPUS:80052243640

SN - 9783642234897

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

SP - 119

EP - 133

BT - Wireless Algorithms, Systems, and Applications - 6th International Conference, WASA 2011, Proceedings

T2 - 6th International Conference on Wireless Algorithms, Systems, and Applications, WASA 2011

Y2 - 11 August 2011 through 13 August 2011

ER -

Zhang J, Tang S, Shen X, Dai G. Energy efficient data aggregation in solar sensor networks. In Wireless Algorithms, Systems, and Applications - 6th International Conference, WASA 2011, Proceedings. 2011. p. 119-133. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-23490-3_11

Energy efficient data aggregation in solar sensor networks

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