Stochastic Approach for Energy-Efficient Clustering in WSN

1
Manpreet Kaur
Manpreet Kaur
2
Lokesh Pawar
Lokesh Pawar
3
Rohit Bhullar
Rohit Bhullar
1 Chandigarh University
2 Kurukshetra University, HCTM Kaithal, INDIA.

Send Message

To: Author

GJCST Volume 14 Issue E7

Article Fingerprint

ReserarchID

CSTNWS4OWJQ

Stochastic Approach for Energy-Efficient Clustering in WSN Banner
  • English
  • Afrikaans
  • Albanian
  • Amharic
  • Arabic
  • Armenian
  • Azerbaijani
  • Basque
  • Belarusian
  • Bengali
  • Bosnian
  • Bulgarian
  • Catalan
  • Cebuano
  • Chichewa
  • Chinese (Simplified)
  • Chinese (Traditional)
  • Corsican
  • Croatian
  • Czech
  • Danish
  • Dutch
  • Esperanto
  • Estonian
  • Filipino
  • Finnish
  • French
  • Frisian
  • Galician
  • Georgian
  • German
  • Greek
  • Gujarati
  • Haitian Creole
  • Hausa
  • Hawaiian
  • Hebrew
  • Hindi
  • Hmong
  • Hungarian
  • Icelandic
  • Igbo
  • Indonesian
  • Irish
  • Italian
  • Japanese
  • Javanese
  • Kannada
  • Kazakh
  • Khmer
  • Korean
  • Kurdish (Kurmanji)
  • Kyrgyz
  • Lao
  • Latin
  • Latvian
  • Lithuanian
  • Luxembourgish
  • Macedonian
  • Malagasy
  • Malay
  • Malayalam
  • Maltese
  • Maori
  • Marathi
  • Mongolian
  • Myanmar (Burmese)
  • Nepali
  • Norwegian
  • Pashto
  • Persian
  • Polish
  • Portuguese
  • Punjabi
  • Romanian
  • Russian
  • Samoan
  • Scots Gaelic
  • Serbian
  • Sesotho
  • Shona
  • Sindhi
  • Sinhala
  • Slovak
  • Slovenian
  • Somali
  • Spanish
  • Sundanese
  • Swahili
  • Swedish
  • Tajik
  • Tamil
  • Telugu
  • Thai
  • Turkish
  • Ukrainian
  • Urdu
  • Uzbek
  • Vietnamese
  • Welsh
  • Xhosa
  • Yiddish
  • Yoruba
  • Zulu

Wireless sensor networks are self-organizing networks in which sensor nodes with limited resource are scattered in an area of interest to gather information. WSNs need to have effective node’s energy management methods for stable and seamless communication. Power efficient clustering is done in WSN to prolong the life of the network. In WSN, many algorithms are developed to save energy of sensor nodes and to increase the lifetime of the network. This paper provides an energy efficient clustering algorithm inspired by prophet routing protocol to enhance the cluster based operation of the nodes. Adaptive learning is implemented for head selection for efficientcommunication. Simulation results confirm the efficiency of the mechanism.

12 Cites in Articles

References

  1. C Nam,Y Han,D Shin (2013). The Cluster-Heads Selection Method considering Energy Balancing For Wireless Sensor Network.
  2. A Al-Habashneh,M Ahmed,T Husain (2009). Adaptive MAC Protocols for Forest Fire Detection Using Wireless Sensor Networks.
  3. Ye Xiaoguo,Lv Kangmeng,Wang Ruchuan,Sun Lijuan (2011). Adaptive Load-Balanced Routing Algorithm.
  4. Tejal Irkhede,Prachi Jaini (2013). Cluster and traffic distribution protocol for energy consumption in wireless sensor network.
  5. M Sathik,M Mohamed,A Balasubramanian (2010). Fire Detection Using Support Vector Machine in Wireless Sensor Network and Rescue Using Pervasive Devices.
  6. S Fouchal,Q Monnet,D Mansouri,L Mokdad,M Ioualalen (2010). A clustering method for wireless sensors networks.
  7. Y Singh,S Saha,U Chugh,C Gupta (2013). Distributed Event Detection in Wireless Sensor Networks for Forest Fires.
  8. Kechar Bouabdellah,Houache Noureddine,Sekhri Larbi (2013). Using Wireless Sensor Networks for Reliable Forest Fires Detection.
  9. M Hefeeda,M Bagheri (2007). Wireless Sensor Networks for Early Detection of Forest Fires.
  10. Z Xu,Jin Yue Yin,Jeong-Uk Wang,Kim (2012). An Energy-Efficient Clustering Algorithm in WSN with Multiple Sinks.
  11. Andrei Gagarin,Sajid Hussain Distributed search for balanced energy consumption spanning trees in Wireless Sensor Networks.
  12. Ting Yang,Chunjian Kang,Guofang Nan (2012). An Energy-Efficient and Fault-Tolerant Convergecast Protocol in Wireless Sensor Networks.

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

Manpreet Kaur. 2014. \u201cStochastic Approach for Energy-Efficient Clustering in WSN\u201d. Global Journal of Computer Science and Technology - E: Network, Web & Security GJCST-E Volume 14 (GJCST Volume 14 Issue E7): .

Download Citation

Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Classification
Not Found
Version of record

v1.2

Issue date

November 12, 2014

Language

English

Experiance in AR

The methods for personal identification and authentication are no exception.

Read in 3D

The methods for personal identification and authentication are no exception.

Article Matrices
Total Views: 8728
Total Downloads: 2270
2026 Trends
Research Identity (RIN)
Related Research

Published Article

Wireless sensor networks are self-organizing networks in which sensor nodes with limited resource are scattered in an area of interest to gather information. WSNs need to have effective node’s energy management methods for stable and seamless communication. Power efficient clustering is done in WSN to prolong the life of the network. In WSN, many algorithms are developed to save energy of sensor nodes and to increase the lifetime of the network. This paper provides an energy efficient clustering algorithm inspired by prophet routing protocol to enhance the cluster based operation of the nodes. Adaptive learning is implemented for head selection for efficientcommunication. Simulation results confirm the efficiency of the mechanism.

Our website is actively being updated, and changes may occur frequently. Please clear your browser cache if needed. For feedback or error reporting, please email [email protected]
×

This Page is Under Development

We are currently updating this article page for a better experience.

Request Access

Please fill out the form below to request access to this research paper. Your request will be reviewed by the editorial or author team.
X

Quote and Order Details

Contact Person

Invoice Address

Notes or Comments

This is the heading

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.

High-quality academic research articles on global topics and journals.

Stochastic Approach for Energy-Efficient Clustering in WSN

Manpreet Kaur
Manpreet Kaur
Lokesh Pawar
Lokesh Pawar Kurukshetra University, HCTM Kaithal, INDIA.
Rohit Bhullar
Rohit Bhullar

Research Journals