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Journals / Düzce Üniversitesi Bilim ve Teknoloji Dergisi / 2018 / Cilt: 6 - Sayı: 4

Application Specific Sleep-Awake Strategy for Increasing Network Lifetime in Wireless Sensor Networks

Kablosuz Algılayıcı Ağlarda Ağ Ömrünü Uzatmak İçin Uygulamaya Özel Uyu-Uyan Stratejisi

Mehmet ŞİMŞEK
Sinan TOKLU
Pages
1038–1046
Publication Date
2022-10-12
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

By this way, the life of the network is extended.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Wireless Sensor Networks (WSN) is a technology that provides distributed data collection.
📊
Key Findings & Data:In traditional strategy, the nodes in the cluster sense data and send it to the Cluster Head (CH), if CHs detect redundancy of some data; they remove the duplication and send it to the base station.
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Conclusion & Impact:By this way, the life of the network is extended.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Kablosuz algılayıcı ağlar · yönlendirme · uyut-uyandır

Abstract

Wireless Sensor Networks (WSN) is a technology that provides distributed data collection. However, these networks have some limitations. The most important constraint is energy limitations. The lifespan of sensor nodes that run on small battery depends on the battery life. Although there are many studies in the field of energy efficiency to extend the life of nodes, enough improvement has not been obtained yet. The most basic way to achieve energy efficiency is to sleep and awake the nodes or clusters of nodes. In this study, we proposed an application specific method to wake up and sleep nodes in WSNs. In traditional strategy, the nodes in the cluster sense data and send it to the Cluster Head (CH), if CHs detect redundancy of some data; they remove the duplication and send it to the base station. This is causing energy loss. Our method puts some nodes to sleep state if there are similar data in a certain period. By this way, the life of the network is extended.

Özet

Kablosuz Algılayıcı Ağlar (KAA) dağıtık veri toplamaya olanak sağlayan bir teknolojidir. Ne var ki bu ağların bazı kısıtları vardır. En önemli kısıt enerji kısıtıdır. Küçük bir bataryaya bağlı olarak çalışan sensör düğümlerin ömürleri bataryalarının ömürlerine bağlıdır. Düğümlerin yaşam sürelerinin arttırılmasına ilişkin birçok çalışma olmasına rağmen henüz tam olarak bir gelişme sağlanamamıştır. Enerji etkinliğini sağlamak için en temel yol düğümleri veya düğüm kümelerini uyutup uyandırmaktır. Bu çalışmada, KAA’da uygulamaya özel olarak düğümleri uyutup uyandıran bir yöntem geliştirdik. Geleneksel stratejilerde, bir küme içerisindeki düğümler algıladıkları verileri Küme Başına (KB) iletirler. Eğer KB, algılanan veriler içerisinde tekrarlar tespit ederse, tekrarlanan verileri siler ve kalan verileri baz istasyonuna göndedir. Bu da enerji kaybına neden olur. Bizim yöntemimiz, belirli bir periyotta eğer düğümlerin algıladıkları veriler aynı ise bazı düğümleri uyku konumuna geçirir. Böylece, ağın ömrü uzatılmış olur.

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Cite This Article

ŞİMŞEK, M., TOKLU, S. (2022). Application Specific Sleep-Awake Strategy for Increasing Network Lifetime in Wireless Sensor Networks. Düzce Üniversitesi Bilim ve Teknoloji Dergisi, Cilt: 6 - Sayı: 4, 1038–1046. https://ajindex.com/articles/494570

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References (12)

  1. Chien-Chung Shen, C. Srisathapornphat, and C. Jaikaeo, “Sensor information networking architecture and applications,” IEEE Personal Commuications, vol. 8, no. 4, pp. 52–59, 2001
  2. I. F. Akyildiz, W. Su, Y. Sankarasubramaniam, and E. Cayirci, “Wireless sensor networks: a survey,” Computer Networks, vol. 38, no. 4, pp. 393–422, Mar. 2002
  3. N. A. Pantazis, S. A. Nikolidakis, and D. D. Vergados, “Energy-Efficient Routing Protocols in Wireless Sensor Networks: A Survey,” IEEE Communications Surveys &Tutorials, vol. 15, no. 2, pp. 551–591, 2013
  4. W. B. Heinzelman, A. P. Chandrakasan, and H. Balakrishnan, “An application-specific protocol architecture for wireless microsensor networks,” IEEE Transactions on Wireless Communications, vol. 1, no. 4, pp. 660–670, 2002
  5. Wei Ye, J. Heidemann, and D. Estrin, “An energy-efficient MAC protocol for wireless sensor networks,” Proceedings. Twenty-First Annual Joint Conference of the IEEE Computer and Communications Societies, vol. 3, no. c, pp. 1567–1576, 2002
  6. T. van Dam and K. Langendoen, “An adaptive energy-efficient MAC protocol for wireless sensor networks,” Proceedings of the first international conference on Embedded networked sensor systems - SenSys ’03, 2003, p. 171
  7. Tao Zheng, S. Radhakrishnan, and V. Sarangan, “PMAC: An Adaptive Energy-Efficient MAC Protocol for Wireless Sensor Networks,” 19th IEEE International Parallel and Distributed Processing Symposium, 2005, p. 237a–237a
  8. J. Polastre, J. Hill, and D. Culler, “Versatile low power media access for wireless sensor networks,” Proceedings of the 2nd international conference on Embedded networked sensor systems - SenSys ’04, 2004, p. 95
  9. W. B. Heinzelman, A. P. Chandrakasan, S. Member, and H. Balakrishnan, “An Application-Specific Protocol Architecture for Wireless Microsensor Networks,” IEEE Transactions on Wireless Communications, vol. 1, no. 4, pp. 660–670, 2002
  10. S. D. Muruganathan, D. C. F. Ma, R. I. Bhasin, and A. O. Fapojuwo, “A centralized energy-efficient routing protocol for wireless sensor networks,” IEEE Communications Magazine, vol. 43, no. 3, pp. S8-13,2005
  11. H. Brand, S. Rego, R. Cardoso, J. C. Jr, and C. Networks, “MH-LEACH: A Distributed Algorithm for Multi-Hop Communication in Wireless Sensor Networks,” in ICN2014, no. c, pp. 55–61, 2014,
  12. S. Lindsey and C. S. Raghavendra, “PEGASIS: Power-efficient gathering in sensor information systems,” Proceedings, IEEE Aerospace Conference, vol. 3, pp. 3-1125-3–