Dergiler / Turkish Journal of Electrical Engineering and Computer Science / 2013 / Cilt: 21 - Sayı: 2

EETBR: Energy efficient token-based routing for wireless sensor networks

Sayfa
513–526
Yayın Tarihi
2013-02-01
DOI
—
🏛️Bu makalenin bibliyografik verileri ve tam metin bağlantısı DergiPark üzerinden sağlanmıştır.
DergiPark Kaydı ↗
✨

Yapay Zeka Hızlı Bakış & Çıkarımlar

AI Insight
⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

The simulation results indicate that this token-based next hop selection method together with the multitier cluster-based architecture achieves a significant amount of energy savings, which inherently yields the prolongation of the network lifetime.

📌 3 Maddede Bu Makale

🎯
Amaç & Hipotez:The most significant drawback of wireless sensor networks is energy scarcity.
📊
Temel Bulgular & Veri:As there is an increasing need for operating these networks for relatively long times, energy saving becomes the key challenge in the design of the architectures and protocols for sensor networks.
💡
Sonuç & Katkı:The simulation results indicate that this token-based next hop selection method together with the multitier cluster-based architecture achieves a significant amount of energy savings, which inherently yields the prolongation of the network lifetime.
🔬Tür:Araştırma Makalesi
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Wireless sensor networks · energy efficiency · routing

Özet

The most significant drawback of wireless sensor networks is energy scarcity. As there is an increasing need for operating these networks for relatively long times, energy saving becomes the key challenge in the design of the architectures and protocols for sensor networks. Therefore, several research studies have been performed for making contributions to the analysis of this energy shortage problem. Most of these research activities have been focused on finding solutions for the energy consumption of the communication unit, which is the dominant energy dissipating component of the sensor nodes. In this paper, a novel, token-based routing protocol adapted with a multitier cluster-based architecture is presented. Most of the other cluster-based schemes mainly focus on intracluster organization and communication. However, it should be mentioned that a considerable amount of energy is dissipated during the intercluster communication when compared with intracluster communication. The architecture proposed here not only deals with intracluster communication, but also considers data aggregation, multihop data transmission, and best-effort next hop selection according to a cost factor that is described for the first time in this paper. The simulation results indicate that this token-based next hop selection method together with the multitier cluster-based architecture achieves a significant amount of energy savings, which inherently yields the prolongation of the network lifetime.

Abstract

The most significant drawback of wireless sensor networks is energy scarcity. As there is an increasing need for operating these networks for relatively long times, energy saving becomes the key challenge in the design of the architectures and protocols for sensor networks. Therefore, several research studies have been performed for making contributions to the analysis of this energy shortage problem. Most of these research activities have been focused on finding solutions for the energy consumption of the communication unit, which is the dominant energy dissipating component of the sensor nodes. In this paper, a novel, token-based routing protocol adapted with a multitier cluster-based architecture is presented. Most of the other cluster-based schemes mainly focus on intracluster organization and communication. However, it should be mentioned that a considerable amount of energy is dissipated during the intercluster communication when compared with intracluster communication. The architecture proposed here not only deals with intracluster communication, but also considers data aggregation, multihop data transmission, and best-effort next hop selection according to a cost factor that is described for the first time in this paper. The simulation results indicate that this token-based next hop selection method together with the multitier cluster-based architecture achieves a significant amount of energy savings, which inherently yields the prolongation of the network lifetime.

🔖

Bu Makaleye Atıf Yap

ÇEVİK, T., ZAİM, A. H. (2013). EETBR: Energy efficient token-based routing for wireless sensor networks. Turkish Journal of Electrical Engineering and Computer Science, Cilt: 21 - Sayı: 2, 513–526. https://ajindex.com/articles/188730

📄 Tam Metin PDF Okuyucu

📄

PDF görüntüleyici hazırlanıyor...

Kaynakça (12)

  1. K. Sohraby, D. Minoli, T. Znati, Wireless Sensor Networks, New York, Wiley, 2007. K. Whitehouse, “The design of calamari: an ad-hoc localization system for sensor networks”, MSc, University of California at Berkeley, 2002.
  2. K. Whitehouse, F. Jiang, A. Woo, C. Karlof, D. Culler, “Sensor field localization: a deployment and empirical analysis”, Technical Report, University of California at Berkeley, 2004.
  3. K. Whitehouse, C. Sharp, E. Brewer, D. Culler, “Hood: a neighborhood abstraction for sensor networks”, Proceedings of the 2nd ACM International Conference on Mobile Systems, Applications, and Services, pp. 99–110, 200 K. Whitehouse, C. Karlof, D. Culler, “Getting ad-hoc signal strength localization to work”, Technical Report, University of California at Berkeley, 2004.
  4. W.S. Conner, J. Heidemann, L. Krishnamurthy, X. Wang, M. Yarvis, “Workplace applications of sensor networks”, In: N. Bulusu, S. Jha, Eds., Wireless Sensor Networks: A Systems Perspective, London, Artech House, pp. 289–307, 200 F. Akyildiz, W. Su, Y. Sankarasubramaniam, E. Cayirci, “A survey on sensor networks”, IEEE Communications Magazine, Vol. 40, pp. 102–114, 2002.
  5. G. Anastasi, M. Conti, M.D. Francesco, A. Passarella, “Energy conservation in wireless sensor networks: a survey”, Ad Hoc Networks, Vol. 7, pp. 537–568, 2009.
  6. R. Want, K.I. Farkas, C. Narayanaswami, “Energy harvesting and conservation”, IEEE Pervasive Computing, Vol. 4, pp. 14–17, 2005.
  7. V. Raghunathan, C. Schurgers, S.I. Park, M.B. Srivastava, “Energy-aware wireless microsensor networks”, IEEE Signal Processing Magazine, Vol. 19, pp. 40–50, 2002.
  8. G.J. Pottie, W.J. Kaiser, “Wireless integrated network sensors”, Communications of the ACM, Vol. 43, pp. 51–58, 2000.
  9. W.R. Heinzelman, A. Chandrakasan, H. Balakrishnan, “Energy-efficient communication protocol for wireless microsensor networks”, Proceedings of the 33rd Hawaii International Conference on System Sciences, 2000.
  10. W. Heinzelman, A. Chandrakasan, H. Balakrishnan, “An application-specific protocol architecture for wireless microsensor networks”, IEEE Transactions on Wireless Communications, Vol. 1, pp. 660–670, 2002.
  11. O. Younis, S. Fahmy, “HEED: a hybrid, energy-efficient, distributed clustering approach for ad hoc sensor networks”, IEEE Transactions on Mobile Computing, Vol. 3, pp. 366–379, 2004.
  12. S. Lindsey, C.S. Raghavendra, “PEGASIS: power-efficient gathering in sensor information systems”, IEEE Aerospace Conference Proceedings, Vol. 3, pp. 1125–1130, 2002. T. C ¸ evik, A.H. Zaim, D.