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WSN Using Collective Scheme of Energy Efficient Grouping and Evidence Retrieval

Year 2017, Volume: 8 Issue: 1, 19 - 24, 14.03.2017

Abstract

The two-layer network structure has been widely adopted in wireless sensor networks (WSNs) for managing sensor nodes. In such a structure, the low layer nodes communicate with their cluster head, followed by the cluster-head nodes communicating with the base station operating in either a one hop or a multi-hop manner. The main focus of node-clustering algorithms is minimizing energy consumption due to strictly limited resources in WSNs. Also, WSNs are data intensive networks with the capability of providing users with accurate data. Unfortunately, data missing is common in WSNs. In this paper, we propose a novel joint design of sensor nodes clustering and data recovery, where the WSNs is organized in a two-layer manner with our developed clustering algorithm, and then the missing data is recovered based on this two-layer structure. Furthermore, in the proposed clustering algorithm, we take both the energy-efficiency and data forecasting accuracy into consideration and investigate the tradeoff between them. This is based on the key observation that the high energy-efficiency of the network can be achieved by reducing the distances among the nodes in a cluster, while the accuracy of the forecasting results can be improved by increasing the correlation of the data stream among the nodes in a cluster. Simulation results demonstrate that our joint design outperforms the existing algorithms in terms of energy consumption and forecasting accuracy.

References

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Year 2017, Volume: 8 Issue: 1, 19 - 24, 14.03.2017

Abstract

References

  • [1] M. R. Palattella, M. Dohler, A. Grieco, G. Rizzo, J. Torsner, T. Engel, and L. Ladid, “Internet of things in the 5G era: Enablers, architecture, and business models,” IEEE Journal on Selected Areas in Communications, vol. 34, pp. 510–527, Mar. 2016. [Google Scholar]
  • [2] A. Zanella, N. Bui, A. Castellani, and L. Vangelista, “Internet of things for smart cities,” Internet of Things Journal IEEE, vol. 1, pp. 22–32, Feb. 2014. [Google Scholar]
  • [3] S.CiraniandM.Picone,“Wearablecomputingfortheinternetofthings,” It Professional, vol. 17, pp. 35–41, Sep. 2015. [4] M. Simsek, A. Aijaz, M. Dohler, and J. Sachs, “5G-enabled tactile internet,” IEEE Journal on Selected Areas in Communications, vol. 34, pp. 460–473, Mar. 2016. [Google Scholar]
  • [5] J. Fan, F. Han, and H. Liu, “Challenges of big data analysis,” National Science Review, vol. 1, no. 2, pp. 293–314, 2014. [Google Scholar]
  • [6] Y. Shi, J. Zhang, and K. B. Letaief, “Group sparse beamforming for green Cloud-RAN,” IEEE Transactions on Wireless Communications, vol. 13, pp. 2809–2823, May 2014. [Google Scholar]
  • [7] M. Peng, S. Yan, K. Zhang, and C. Wang, “Fog-computing-based radio access networks: issues and challenges,” IEEE Network, vol. 30, pp. 46– 53, Jul. 2016. [Google Scholar]
  • [8] Y. Shi, J. Zhang, K. B. Letaief, and B. Bai, “Large-scale convex optimization for ultra-dense Cloud-RAN,” IEEE Wireless Communications, vol. 22, pp. 84–91, Jun. 2015. [Google Scholar]
  • [9] M. Chiang and T. Zhang, “Fog and IoT: An overview of research opportunities,” IEEE Internet of Things Journal, vol. PP, no. 99, pp. 1–1, 2016. [Google Scholar]
  • [10] P. Derler, E. A. Lee, and A. S. Vincentelli, “Modeling cyber physical systems,” Proceedings of the IEEE, vol. 100, pp. 13–28, Jan. 2012. [Google Scholar]
  • [11] Y. Shi, J. Zhang, B. O’Donoghue, and K. B. Letaief, “Large-scale convex optimization for dense wireless cooperative networks,” IEEE Transactions on Signal Processing, vol. 63, pp. 4729–4743, Sep. 2015. [Google Scholar]
  • [12] K. Yang, Y. Shi, and Z. Ding, “Low-rank matrix completion for mobile edge caching in Fog-RAN via riemannian optimization,” in IEEE Global Communications Conference. (GOLBECOM),(Washington, DC, USA), 2016. [Google Scholar]
There are 11 citations in total.

Details

Primary Language English
Journal Section Articles
Authors

S. P. Santhosh Kumar This is me

S Chandramohan This is me

Publication Date March 14, 2017
Published in Issue Year 2017 Volume: 8 Issue: 1

Cite

APA Kumar, S. P. S., & Chandramohan, S. (2017). WSN Using Collective Scheme of Energy Efficient Grouping and Evidence Retrieval. International Journal of Educational Researchers, 8(1), 19-24.