Q-Coverage Maximum Connected Set Cover (QC-MCSC) Heuristic for Connected Target Problem in Wireless Sensor Network

Article ID

CSTNWS8U983

Q-Coverage Maximum Connected Set Cover (QC-MCSC) Heuristic for Connected Target Problem in Wireless Sensor Network

Sunita Gupta
Sunita Gupta Suresh Gyan Vihar University, Jaipur.
Dr. K.C. Roy
Dr. K.C. Roy
DOI

Abstract

Wireless Sensor Network is a wireless network consisting of spatially distributed autonomous devices using sensors to cooperatively monitor physical or environmental conditions. Wireless sensors networks (WSNs) can operate in harsh environments in which actual monitoring by human being are risky, inefficient and sometimes infeasible. This is the main advantages of WSN. In most of the cases, replenishment of batteries might be impossible. That’s why lifetime of WSN shows a very strong dependency on battery lifetime. So an important issue in sensor networks is power scarcity, which depends on battery size and weight limitations of WSN node. Energy-aware algorithms are designed for extending the lifetime of wireless sensor network. Different mechanisms can be used to optimize the energy of sensors and they have a great impact on prolonging the network lifetime. Energy minimization techniques can be used at routing, clustering and sensor scheduling etc.

Q-Coverage Maximum Connected Set Cover (QC-MCSC) Heuristic for Connected Target Problem in Wireless Sensor Network

Wireless Sensor Network is a wireless network consisting of spatially distributed autonomous devices using sensors to cooperatively monitor physical or environmental conditions. Wireless sensors networks (WSNs) can operate in harsh environments in which actual monitoring by human being are risky, inefficient and sometimes infeasible. This is the main advantages of WSN. In most of the cases, replenishment of batteries might be impossible. That’s why lifetime of WSN shows a very strong dependency on battery lifetime. So an important issue in sensor networks is power scarcity, which depends on battery size and weight limitations of WSN node. Energy-aware algorithms are designed for extending the lifetime of wireless sensor network. Different mechanisms can be used to optimize the energy of sensors and they have a great impact on prolonging the network lifetime. Energy minimization techniques can be used at routing, clustering and sensor scheduling etc.

Sunita Gupta
Sunita Gupta Suresh Gyan Vihar University, Jaipur.
Dr. K.C. Roy
Dr. K.C. Roy

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Sunita Gupta. 2015. “. Global Journal of Computer Science and Technology – E: Network, Web & Security GJCST-E Volume 15 (GJCST Volume 15 Issue E6): .

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Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Issue Cover
GJCST Volume 15 Issue E6
Pg. 19- 23
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GJCST-E Classification: C.2.1
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Q-Coverage Maximum Connected Set Cover (QC-MCSC) Heuristic for Connected Target Problem in Wireless Sensor Network

Sunita Gupta
Sunita Gupta Suresh Gyan Vihar University, Jaipur.
Dr. K.C. Roy
Dr. K.C. Roy

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