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

Manish Bhardwaj; Jinee Kumar

doi:doi:10.11648/j.awcn.20150102.11

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

Manish Bhardwaj, Jinee Kumar

Published in Advances in Wireless Communications and Networks (Volume 1, Issue 2)

Received: 8 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.

Published in	Advances in Wireless Communications and Networks (Volume 1, Issue 2)
DOI	10.11648/j.awcn.20150102.11
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), 2015. 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.

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APA Style

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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ACS Style

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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AMA Style

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://article.sciencepublishinggroup.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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TY  - JOUR
T1  - Improving Lifetime of WSNs Using Energy-Efficient Information Gathering Algorithms and Magnetic Resonance
AU  - Manish Bhardwaj
AU  - Jinee Kumar
Y1  - 2015/10/27
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DO  - 10.11648/j.awcn.20150102.11
T2  - Advances in Wireless Communications and Networks
JF  - Advances in Wireless Communications and Networks
JO  - Advances in Wireless Communications and Networks
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PB  - Science Publishing Group
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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.
VL  - 1
IS  - 2
ER  -

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Author Information

Manish Bhardwaj

Computer Science and Engineering Department, SRM University, Ghaziabad, India
Jinee Kumar

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

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APA Style

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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ACS Style

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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AMA Style

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://article.sciencepublishinggroup.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}
}

Copy | Download

TY  - JOUR
T1  - Improving Lifetime of WSNs Using Energy-Efficient Information Gathering Algorithms and Magnetic Resonance
AU  - Manish Bhardwaj
AU  - Jinee Kumar
Y1  - 2015/10/27
PY  - 2015
N1  - https://doi.org/10.11648/j.awcn.20150102.11
DO  - 10.11648/j.awcn.20150102.11
T2  - Advances in Wireless Communications and Networks
JF  - Advances in Wireless Communications and Networks
JO  - Advances in Wireless Communications and Networks
SP  - 11
EP  - 16
PB  - Science Publishing Group
SN  - 2575-596X
UR  - https://doi.org/10.11648/j.awcn.20150102.11
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.
VL  - 1
IS  - 2
ER  -

Copy | Download