Network optimization in wireless sensor networks

Min Song; Prabhu V. Krishnan

Network optimization in wireless sensor networks

Min Song
, Prabhu V. Krishnan

Department of Electrical and Computer Engineering

Old Dominion University

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

Abstract

The limitations imposed by the nonrechargeable power supply of wireless sensors make energy conservation one of the overriding concerns and design parameters in developing wireless sensor network protocols. In this paper we present an energy conservation algorithm for network optimization. It is shown that the presented algorithm is able to exploit the inherent sensor redundancy in densely deployed sensor networks to maximize network life while maintaining a high level of sensor coverage across the sensor field. Simulations are performed to demonstrate the effectiveness of this intelligent algorithm over its peer that relies exclusively on randomization to ensure desirable coverage.

Original language	English
Title of host publication	21st International Conference on Computers and Their Applications, CATA 2006
Pages	383-387
Number of pages	5
State	Published - 2006
Event	21st International Conference on Computers and Their Applications, CATA 2006 - Seattle, WA, United States Duration: 23 Mar 2006 → 25 Mar 2006

Publication series

Name	21st International Conference on Computers and Their Applications, CATA 2006

Conference

Conference	21st International Conference on Computers and Their Applications, CATA 2006
Country/Territory	United States
City	Seattle, WA
Period	23/03/06 → 25/03/06

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Algorithm
Energy conservation
Optimization
Sensor networks

Cite this

@inproceedings{476eace18ffc48129f7d869033847040,

title = "Network optimization in wireless sensor networks",

abstract = "The limitations imposed by the nonrechargeable power supply of wireless sensors make energy conservation one of the overriding concerns and design parameters in developing wireless sensor network protocols. In this paper we present an energy conservation algorithm for network optimization. It is shown that the presented algorithm is able to exploit the inherent sensor redundancy in densely deployed sensor networks to maximize network life while maintaining a high level of sensor coverage across the sensor field. Simulations are performed to demonstrate the effectiveness of this intelligent algorithm over its peer that relies exclusively on randomization to ensure desirable coverage.",

keywords = "Algorithm, Energy conservation, Optimization, Sensor networks",

author = "Min Song and Krishnan, \{Prabhu V.\}",

year = "2006",

language = "English",

isbn = "9781604234961",

series = "21st International Conference on Computers and Their Applications, CATA 2006",

pages = "383--387",

booktitle = "21st International Conference on Computers and Their Applications, CATA 2006",

note = "21st International Conference on Computers and Their Applications, CATA 2006 ; Conference date: 23-03-2006 Through 25-03-2006",

}

TY - GEN

T1 - Network optimization in wireless sensor networks

AU - Song, Min

AU - Krishnan, Prabhu V.

PY - 2006

Y1 - 2006

N2 - The limitations imposed by the nonrechargeable power supply of wireless sensors make energy conservation one of the overriding concerns and design parameters in developing wireless sensor network protocols. In this paper we present an energy conservation algorithm for network optimization. It is shown that the presented algorithm is able to exploit the inherent sensor redundancy in densely deployed sensor networks to maximize network life while maintaining a high level of sensor coverage across the sensor field. Simulations are performed to demonstrate the effectiveness of this intelligent algorithm over its peer that relies exclusively on randomization to ensure desirable coverage.

AB - The limitations imposed by the nonrechargeable power supply of wireless sensors make energy conservation one of the overriding concerns and design parameters in developing wireless sensor network protocols. In this paper we present an energy conservation algorithm for network optimization. It is shown that the presented algorithm is able to exploit the inherent sensor redundancy in densely deployed sensor networks to maximize network life while maintaining a high level of sensor coverage across the sensor field. Simulations are performed to demonstrate the effectiveness of this intelligent algorithm over its peer that relies exclusively on randomization to ensure desirable coverage.

KW - Algorithm

KW - Energy conservation

KW - Optimization

KW - Sensor networks

UR - https://www.scopus.com/pages/publications/84883271524

UR - https://www.scopus.com/pages/publications/84883271524#tab=citedBy

M3 - Conference contribution

AN - SCOPUS:84883271524

SN - 9781604234961

T3 - 21st International Conference on Computers and Their Applications, CATA 2006

SP - 383

EP - 387

BT - 21st International Conference on Computers and Their Applications, CATA 2006

T2 - 21st International Conference on Computers and Their Applications, CATA 2006

Y2 - 23 March 2006 through 25 March 2006

ER -

Network optimization in wireless sensor networks

Abstract

Publication series

Conference

UN SDGs

Keywords

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Cite this