Advances in Wireless Communications and Networks

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Improving Lifetime of WSNs Using Energy-Efficient Information Gathering Algorithms and Magnetic Resonance

Received: 08 October 2015    Accepted: 26 October 2015    Published: 27 October 2015
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Abstract

This paper introduce the concept of the energy-efficient Information gathering algorithms for improving lifetime of WSNs and wirelessly recharge the sensor nodes. Here we have assumed that the sensor nodes and base-station are not mobile. The more over location and initial energy of the sensor nodes is known and number of sensor nodes is randomly distributed over a monitoring region. For the heterogeneity the three types of nodes: a normal, advanced and super node with some fraction in terms of their initial energy has been taken. In this work, we have proposed new distributed energy efficient algorithms PEIPSH and ILBPSH, based on the distance from the base station and sensor residual energy as well as scheduling of sensor nodes to alternate between sleep and active mode. The simulation results shows that the proposed algorithms PEIPSH and ILBPSH balance the energy dissipation over the whole network and improve the network lifetime.

DOI 10.11648/j.awcn.20150102.11
Published in Advances in Wireless Communications and Networks (Volume 1, Issue 2, July 2015)
Page(s) 11-16
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Wireless Sensor Networks, Targets Coverage, Adjustable Sensing Range, Heterogeneity, Maximize Lifetime

References
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[3] Yingchi Mao, Zhen Liu, Lili Zhang, Xiaofang Li, "An Effective Data Gathering Scheme in Heterogeneous Energy Wireless Sensor Networks," cse, vol. 1, pp.338- 343, 2009 International Conference on Computational Science and Engineering, 2009.
[4] Dilip Kumar, T. S. Aseri, R.B Patel “EECHE: Energyefficient cluster head election protocol for heterogeneous Wireless Sensor Networks,” in Proceedings of ACM International Conference on Computing, Communication and Control-09 (ICAC3'09), Bandra, Mumbai, India, 23-24 January 2009, pp. 75-80.
[5] W. Heinzelman, J. Kulik, H. Balakrishnan, Adaptive protocols for information dissemination in wireless sensor networks, in: Proceedings of ACM/IEEE International Conference on Mobile Computing and Networking MobiCom’99, Seattle, WA, 1999.
[6] C. Intanagonwiwat, R. Govindan, D. Estrin, Directed diffusion: a scalable and robust communication paradigm for sensor networks, in: Proceedings of ACM MobiCom’00, Boston, MA, 2000, pp. 56–67.
[7] S. Lindsey, C.S. Raghavendra, PEGASIS: power efficient gathering in sensor information systems, in: Proceedings of the IEEE Aerospace Conference, Big Sky, Montana, March 2002, Vol.3, pp. 3-1125- 3-113.
[8] SH. Lee, JJ. Yoo and TC. Chuan, “Distance-based Energy Efficient Clustering for Wireless Sensor Networks”, Proc. of the 29th IEEE Int’l Conf. on Local Computer Networks (LCN’04)
[9] O. Younis and S. Fahmy, “Distributed Clustering in Adhoc Sensor Networks: A Hybrid, Energy-Efficient Approach”, In Proc. of IEEE INFOCOM, March 2004.
[10] J. M. Kim, S. H. Park, Y. J. Han, and T. M. Chung, “CHEF: Cluster Head Election mechansim using Fuzzy logic in Wireless Sensor Networks”, Proc. of ICACT, 654- 659, Feb. 2008.
[11] Manish Bhardwaj. Selection of Efficient Relay for Energy-Efficient Cooperative Ad Hoc Networks. American Journal of Networks and Communications. Special Issue: Ad Hoc Networks. Vol. 4, No. 3-1, 2015, pp. 5-11. doi: 10.11648/j.ajnc.s.2015040301.12
[12] Megha Sharma, ShivaniRohilla, Manish Bhardwaj. Efficient Routing with Reduced Routing Overhead and Retransmission of Manet. American Journal of Networks and Communications. Special Issue: Ad Hoc Networks. Vol. 4, No. 3-1, 2015, pp. 22-26. doi: 10.11648/j.ajnc.s.2015040301.15
[13] Manish Bhardwaj, Enhance life Time of Mobile Ad hoc Network using WiTriCity and Backpressure Technique, 1877-0509 © 2015 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license, doi: 10.1016/j.procs.2015.07.447.
[14] A. Kurs, A. Karalis, R. Moffatt, J. D. Joannopoulos, P. Fisher, M. Soljacic. 2008. Wireless Power Transfer via Strongly Coupled Magnetic Resonances. Science. http://www.sciencemag.org/cgi/rapid df/1143254?ijkey=94ff.Ay4jRMqU&keytype=ref&siteid=s ci (accessed December 5, 2011).
[15] A. Kuris et al., "Wireless Power Transfer via Strongly Coupled Magnetic Resonances," Journal Science, vol. 317, pp 83-85, July 2007.
Author Information
  • Computer Science and Engineering Department, SRM University, Ghaziabad, India

  • Computer Science and Engineering Department, SRM University, Ghaziabad, India

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    Manish Bhardwaj, Jinee Kumar. (2015). Improving Lifetime of WSNs Using Energy-Efficient Information Gathering Algorithms and Magnetic Resonance. Advances in Wireless Communications and Networks, 1(2), 11-16. https://doi.org/10.11648/j.awcn.20150102.11

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    Manish Bhardwaj; Jinee Kumar. Improving Lifetime of WSNs Using Energy-Efficient Information Gathering Algorithms and Magnetic Resonance. Adv. Wirel. Commun. Netw. 2015, 1(2), 11-16. doi: 10.11648/j.awcn.20150102.11

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    Manish Bhardwaj, Jinee Kumar. Improving Lifetime of WSNs Using Energy-Efficient Information Gathering Algorithms and Magnetic Resonance. Adv Wirel Commun Netw. 2015;1(2):11-16. doi: 10.11648/j.awcn.20150102.11

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  • @article{10.11648/j.awcn.20150102.11,
      author = {Manish Bhardwaj and Jinee Kumar},
      title = {Improving Lifetime of WSNs Using Energy-Efficient Information Gathering Algorithms and Magnetic Resonance},
      journal = {Advances in Wireless Communications and Networks},
      volume = {1},
      number = {2},
      pages = {11-16},
      doi = {10.11648/j.awcn.20150102.11},
      url = {https://doi.org/10.11648/j.awcn.20150102.11},
      eprint = {https://download.sciencepg.com/pdf/10.11648.j.awcn.20150102.11},
      abstract = {This paper introduce the concept of the energy-efficient Information gathering algorithms for improving lifetime of WSNs and wirelessly recharge the sensor nodes. Here we have assumed that the sensor nodes and base-station are not mobile. The more over location and initial energy of the sensor nodes is known and number of sensor nodes is randomly distributed over a monitoring region. For the heterogeneity the three types of nodes: a normal, advanced and super node with some fraction in terms of their initial energy has been taken. In this work, we have proposed new distributed energy efficient algorithms PEIPSH and ILBPSH, based on the distance from the base station and sensor residual energy as well as scheduling of sensor nodes to alternate between sleep and active mode. The simulation results shows that the proposed algorithms PEIPSH and ILBPSH balance the energy dissipation over the whole network and improve the network lifetime.},
     year = {2015}
    }
    

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    AB  - This paper introduce the concept of the energy-efficient Information gathering algorithms for improving lifetime of WSNs and wirelessly recharge the sensor nodes. Here we have assumed that the sensor nodes and base-station are not mobile. The more over location and initial energy of the sensor nodes is known and number of sensor nodes is randomly distributed over a monitoring region. For the heterogeneity the three types of nodes: a normal, advanced and super node with some fraction in terms of their initial energy has been taken. In this work, we have proposed new distributed energy efficient algorithms PEIPSH and ILBPSH, based on the distance from the base station and sensor residual energy as well as scheduling of sensor nodes to alternate between sleep and active mode. The simulation results shows that the proposed algorithms PEIPSH and ILBPSH balance the energy dissipation over the whole network and improve the network lifetime.
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