Power Management of Ad Hoc Routing Protocols Using Mobility Impact and Magnetic Resonance

Manish Bhardwaj; Anshima Singh

doi:doi:10.11648/j.net.s.2015030301.14

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Power Management of Ad Hoc Routing Protocols Using Mobility Impact and Magnetic Resonance

Manish Bhardwaj, Anshima Singh

Published in Advances in Networks (Volume 3, Issue 3-1)

Received: 30 September 2015 Accepted: 7 October 2015 Published: 23 October 2015

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Abstract

The performance of an ad hoc routing protocol is highly dependent on the mobility model used in the ad hoc networks. Most of previous work used only Random Waypoint mobility model, which is unrealistic in many situations. The mobile nodes are often power constrained so that energy conservation is also an important issue on evaluating protocols performance. This issue can be sort out in this paper with the help of two concepts: energy conservation based on different mobility models and concept of wirelessly recharges the networks node. Most of them focused on metrics such as packet delivery ratio, delay, and route optimality. In this paper, three on demand routing protocols AODV, DSR and TORA would be evaluate at power management metrics. These protocols are simulated and compared under three different mobility models: Random Waypoint, RPGM, and Manhattan Grid and various scenarios.

Published in	Advances in Networks (Volume 3, Issue 3-1) This article belongs to the Special Issue Secure Networks and Communications
DOI	10.11648/j.net.s.2015030301.14
Page(s)	27-33
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

Ad Hoc Networks, Energy Conservation, And Mobility Model

References

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[2]	Charles E. Perkins, Elizabeth M. Belding-Royer, Samir R. Das, “Ad hoc On-Demand Distance Vector (AODV) Routing,” Internet Draft, IETF Mobile Ad hoc Networks (MANET) Working Group.
[3]	C. Perkins, P. Bhagwat, “Highly Dynamic Destination-Sequenced Distance-Vector Routing (DSDV) for Mobile Computers,” in Proc. ACM SIGCOMM'94, London, UK, 1994.
[4]	Vincent D. Park and M. Scott Corson, “A Highly Adaptive Distributed Routing Algorithm for Mobile Wireless Networks”, in Proc. of IEEE INFOCOM '97, Kobe, Japan, Apr. 1997.
[5]	Feeney, L.M., “A Taxonomy for Routing Protocols in Mobile Ad Hoc Networks”, in SICS Technical Report T99:07, 1999
[6]	Josh Broch, David A. Maltz, David B. Johnson, Yih-Chun Hu, Jorjeta Jetcheva ,“A Performance Comparison of Multi-Hop Wireless Ad Hoc Network Routing Protocols,” in Proc. MobiCom’98, Dallas, TX, Oct. 1998
[7]	Per Johansson, Tony Larsson, Nicklas Hedman, Bartosz Mielczarek, Mikael Degermark, “Scenario-based performance analysis of routing protocols for mobile ad-hoc networks,” in Proc. MobiCom’99, Seattle, Washington, 1999.
[8]	David B. Johnson and David A. Maltz,” Dynamic Source Routing in Ad Hoc Wireless Networks,” in Mobile Computing, (ed. T. Imielinski and H. Korth), Kluwer Academic Publishers, 1996.
[9]	S. Shah, E. Hernandez, and A. Helal, "CAD-HOC: A CAD Like Tool for Generating Mobility Benchmarks in Ad-Hoc Networks," in Proc. of the second IEEE/IPSJ Symposium on Applications and the Internet (SAINT'02), Nara, Japan, 2002.
[10]	Feeney, L.M., “An energy-consumption model for performance analysis of routing protocols for mobile ad hoc networks,” Mobile Networks and Applications Vol. 3, No. 6, June 2001.
[11]	Feeney, L.M., and Nilsson, M., “Investigating the energy consumption of a wireless network interface in an ad hoc networking environment,” in Proc. IEEE INFOCOMM, Anchorage AK, April, 2001.
[12]	Juan-Carlos Cano, Pietro Manzoni, “A Performance Comparison of Energy Consumption for Mobile Ad Hoc Network Routing Protocols, ” in Proc. IEEE/ACM MASCOTS 2000: Eighth International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems, San Francisco, USA, August 2000.
[13]	IEEE Computer Society LAN MAN Standards Committee, “Wireless LAN Medium Access Control and Physical Layer Specificationd,” in IEEE 802.11 Standard, Aug. 1999.
[14]	Joshua L. Jabs, C. Hwa Chang and Robert Tingley, “Performance of a Very Low Power Wireless Protocol,” in Proc. IEEE Globe Com ’01, San Antonio, TX, USA, 2001.
[15]	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
[16]	Megha Sharma, Shivani Rohilla, 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
[17]	Manish Bhardwaj, Enhance life Time of Mobile Ad hoc Network using WiTri City 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.
[18]	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).

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Manish Bhardwaj, Anshima Singh. (2015). Power Management of Ad Hoc Routing Protocols Using Mobility Impact and Magnetic Resonance. Advances in Networks, 3(3-1), 27-33. https://doi.org/10.11648/j.net.s.2015030301.14

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ACS Style

Manish Bhardwaj; Anshima Singh. Power Management of Ad Hoc Routing Protocols Using Mobility Impact and Magnetic Resonance. Adv. Netw. 2015, 3(3-1), 27-33. doi: 10.11648/j.net.s.2015030301.14

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AMA Style

Manish Bhardwaj, Anshima Singh. Power Management of Ad Hoc Routing Protocols Using Mobility Impact and Magnetic Resonance. Adv Netw. 2015;3(3-1):27-33. doi: 10.11648/j.net.s.2015030301.14

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@article{10.11648/j.net.s.2015030301.14,
  author = {Manish Bhardwaj and Anshima Singh},
  title = {Power Management of Ad Hoc Routing Protocols Using Mobility Impact and Magnetic Resonance},
  journal = {Advances in Networks},
  volume = {3},
  number = {3-1},
  pages = {27-33},
  doi = {10.11648/j.net.s.2015030301.14},
  url = {https://doi.org/10.11648/j.net.s.2015030301.14},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.net.s.2015030301.14},
  abstract = {The performance of an ad hoc routing protocol is highly dependent on the mobility model used in the ad hoc networks. Most of previous work used only Random Waypoint mobility model, which is unrealistic in many situations. The mobile nodes are often power constrained so that energy conservation is also an important issue on evaluating protocols performance. This issue can be sort out in this paper with the help of two concepts: energy conservation based on different mobility models and concept of wirelessly recharges the networks node. Most of them focused on metrics such as packet delivery ratio, delay, and route optimality. In this paper, three on demand routing protocols AODV, DSR and TORA would be evaluate at power management metrics. These protocols are simulated and compared under three different mobility models: Random Waypoint, RPGM, and Manhattan Grid and various scenarios.},
 year = {2015}
}

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TY  - JOUR
T1  - Power Management of Ad Hoc Routing Protocols Using Mobility Impact and Magnetic Resonance
AU  - Manish Bhardwaj
AU  - Anshima Singh
Y1  - 2015/10/23
PY  - 2015
N1  - https://doi.org/10.11648/j.net.s.2015030301.14
DO  - 10.11648/j.net.s.2015030301.14
T2  - Advances in Networks
JF  - Advances in Networks
JO  - Advances in Networks
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PB  - Science Publishing Group
SN  - 2326-9782
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AB  - The performance of an ad hoc routing protocol is highly dependent on the mobility model used in the ad hoc networks. Most of previous work used only Random Waypoint mobility model, which is unrealistic in many situations. The mobile nodes are often power constrained so that energy conservation is also an important issue on evaluating protocols performance. This issue can be sort out in this paper with the help of two concepts: energy conservation based on different mobility models and concept of wirelessly recharges the networks node. Most of them focused on metrics such as packet delivery ratio, delay, and route optimality. In this paper, three on demand routing protocols AODV, DSR and TORA would be evaluate at power management metrics. These protocols are simulated and compared under three different mobility models: Random Waypoint, RPGM, and Manhattan Grid and various scenarios.
VL  - 3
IS  - 3-1
ER  -

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Author Information

Manish Bhardwaj

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

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

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APA Style

Manish Bhardwaj, Anshima Singh. (2015). Power Management of Ad Hoc Routing Protocols Using Mobility Impact and Magnetic Resonance. Advances in Networks, 3(3-1), 27-33. https://doi.org/10.11648/j.net.s.2015030301.14

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ACS Style

Manish Bhardwaj; Anshima Singh. Power Management of Ad Hoc Routing Protocols Using Mobility Impact and Magnetic Resonance. Adv. Netw. 2015, 3(3-1), 27-33. doi: 10.11648/j.net.s.2015030301.14

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AMA Style

Manish Bhardwaj, Anshima Singh. Power Management of Ad Hoc Routing Protocols Using Mobility Impact and Magnetic Resonance. Adv Netw. 2015;3(3-1):27-33. doi: 10.11648/j.net.s.2015030301.14

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@article{10.11648/j.net.s.2015030301.14,
  author = {Manish Bhardwaj and Anshima Singh},
  title = {Power Management of Ad Hoc Routing Protocols Using Mobility Impact and Magnetic Resonance},
  journal = {Advances in Networks},
  volume = {3},
  number = {3-1},
  pages = {27-33},
  doi = {10.11648/j.net.s.2015030301.14},
  url = {https://doi.org/10.11648/j.net.s.2015030301.14},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.net.s.2015030301.14},
  abstract = {The performance of an ad hoc routing protocol is highly dependent on the mobility model used in the ad hoc networks. Most of previous work used only Random Waypoint mobility model, which is unrealistic in many situations. The mobile nodes are often power constrained so that energy conservation is also an important issue on evaluating protocols performance. This issue can be sort out in this paper with the help of two concepts: energy conservation based on different mobility models and concept of wirelessly recharges the networks node. Most of them focused on metrics such as packet delivery ratio, delay, and route optimality. In this paper, three on demand routing protocols AODV, DSR and TORA would be evaluate at power management metrics. These protocols are simulated and compared under three different mobility models: Random Waypoint, RPGM, and Manhattan Grid and various scenarios.},
 year = {2015}
}

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TY  - JOUR
T1  - Power Management of Ad Hoc Routing Protocols Using Mobility Impact and Magnetic Resonance
AU  - Manish Bhardwaj
AU  - Anshima Singh
Y1  - 2015/10/23
PY  - 2015
N1  - https://doi.org/10.11648/j.net.s.2015030301.14
DO  - 10.11648/j.net.s.2015030301.14
T2  - Advances in Networks
JF  - Advances in Networks
JO  - Advances in Networks
SP  - 27
EP  - 33
PB  - Science Publishing Group
SN  - 2326-9782
UR  - https://doi.org/10.11648/j.net.s.2015030301.14
AB  - The performance of an ad hoc routing protocol is highly dependent on the mobility model used in the ad hoc networks. Most of previous work used only Random Waypoint mobility model, which is unrealistic in many situations. The mobile nodes are often power constrained so that energy conservation is also an important issue on evaluating protocols performance. This issue can be sort out in this paper with the help of two concepts: energy conservation based on different mobility models and concept of wirelessly recharges the networks node. Most of them focused on metrics such as packet delivery ratio, delay, and route optimality. In this paper, three on demand routing protocols AODV, DSR and TORA would be evaluate at power management metrics. These protocols are simulated and compared under three different mobility models: Random Waypoint, RPGM, and Manhattan Grid and various scenarios.
VL  - 3
IS  - 3-1
ER  -

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