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MOBILE-PROJECTED TRAJECTORY ALGORITHM WITH
VELOCITY-CHANGE DETECTION FOR PREDICTING RESIDUAL
LINK LIFETIME IN MANET
Presented by
IIS TECHNOLOGIES
No: 40, C-Block,First Floor,HIET Campus,
North Parade Road,St.Thomas Mount,
Chennai, Tamil Nadu 600016.
Landline:044 4263 7391,mob:9952077540.
Email:info@iistechnologies.in,
Web:www.iistechnologies.in
www.iistechnologies.in
Ph: 9952077540
Abstract
• We study the estimation of residual link lifetime (RLL) in mobile ad hoc networks (MANETs) using
the distances between the link’s nodes.
• We first prove that to compute uniquely the RLL, at least four distance measurements are
required. We also demonstrate that random measurement errors are the dominant factor in
prediction inaccuracy and that systematic errors are negligible.
• We then propose a mobile-projected trajectory (MPT) algorithm, which estimates the relative
trajectory between two nodes from periodical measurements of the distances between them.
• Using the relative trajectory, the algorithm estimates the RLL of the link between the two nodes.
For comparison purposes, we derive a theoretical upper bound on the achievable prediction
inaccuracy by any distance-based RLL prediction algorithm with unknown but finitely bounded
measurement-error distribution.
• To account for velocity changes, the MPT is enhanced with velocity-change detection (VCD) test.
www.iistechnologies.in
Ph: 9952077540
Existing System
• In existing, they proposed a prediction criterion, whereby a link with an older age is assumed to
have a longer expected RLL.
• The behavior of RLL as a function of link age under different mobility models through simulations
and proposed several path-selection algorithms for MANETs.
• Also they have proposed a routing protocol that reduced the node energy consumption to
increase the network lifetime and developed a route-selection algorithm by computing link
lifetimes to choose the least dynamic route; the link lifetimes were computed by the energy drain
rate and estimated relative motion between the nodes.
• In contrast with previous works, our algorithm does not necessitate GPS support, is designed for a
network with mobile nodes all with basic functionality, requires no beacon nodes to provide
location information, and treats the case where the velocity does not remain constant.
www.iistechnologies.in
Ph: 9952077540
Disadvantages
www.iistechnologies.in
Ph: 9952077540
• Reduce the network lifetime
• Increase delay
Proposed System
www.iistechnologies.in
Ph: 9952077540
• In this project, we propose a mobile-projected trajectory (MPT) algorithm that estimates the
relative trajectory between two nodes of a link from periodically measured distances between
the nodes.
• Using the relative trajectory, the MPT estimates the link’s RLL.
• To account for velocity changes during the link’s lifetime, the MPT is augmented with a velocity-
change detection (VCD) test.
• The new algorithm, which is referred to as MPT-VCD, significantly improves the RLL prediction
accuracy.
• As we shall see, neither MPT nor MPT-VCD requires any information about node velocity or its
position.
Advantages
• Efficient path selection
• Increase network lifetime
• Reduce delay
www.iistechnologies.in
Ph: 9952077540
Flow Diagram
www.iistechnologies.in
Ph: 9952077540
Mobile projected
directory
Use relative
trajectory
Estimate trajectory
between nodes
MPT-VCD
MPT estimate the
link’s RLL
Improves the RLL
prediction accuracy
Conclusion
www.iistechnologies.in
Ph: 9952077540
• We have first proved that, when mobile nodes do not possess any knowledge of their speed,
direction, or position, it is necessary to periodically measure only four distances to compute a
unique RLL solution.
• We then proposed the MPT algorithm to compute the RLL. MPT performs linear curve fitting
based on the periodical distance measurements.
• If sampling becomes non-periodic, its negative effects on the computed RLL could be mitigated by
sampling more than four distance measurements.
• We demonstrated that measuring more distances with a constant sampling period would improve
the prediction performance, although it comes at the expense of more prediction misses.
• In general, a greater acquisition time leads to better prediction accuracy.
Future Work
www.iistechnologies.in
Ph: 9952077540
• As a future direction, we propose to study the incorporation of the MPT-VCD into multipath
routing algorithms for MANET, such as the split multipath routing and the diversity-coding-based
multipath routing protocols.
• In these protocols, data packets from a source can be transmitted along multiple paths, and the
ability to choose the most reliable paths, or paths with longest RLL, could play a significant role in
the ability of those protocols to support certain end-to- end QoS for multimedia traffic.
TOOLS AND SOFTWARE USED
Software
• Network simulator(NS2)
Language
• Object Oriented Tool Command Language(OTCL)
• C++
www.iistechnologies.in
Ph: 9952077540
References
• F. Bai, N. Sadagopan, and A. Helmy, “Important: A framework to systematically analyze the impact
of mobility on performance of routing protocols for ad hoc networks,” in Proc. IEEE Inf. Commun.
Conf., Apr. 2003, pp. 825–835.
• T. Camp, J. Boleng, and V. Davies, “A survey of mobility models for Ad Hoc network research,”
Wireless Commun. Mobile Comput. Special Issue Mobile Ad Hoc Netw.: Res., Trends, Appl., vol. 2,
no. 5, pp. 483–502, Aug. 2002.
• J. Chen, Y. Han, D. Li, and J. Nie, “Link prediction and route selection based on channel state
detection in UASNs,” in International Journal of Distributed Sensor Networks, vol. 2011. New York,
NY, USA: Hindawi.
• C.-C. Chong, F. Watanabe, and H. Inamura, “Potential of UWB technology for the next generation
wireless communications,” inProc. IEEE 9th Int. Symp. Spread Spectrum Techn. Appl., Aug.
2006,pp. 422–429.
• W. C. Chung and D. S. Ha, “An accurate ultra wideband (UWB) ranging for precision asset
location,” in Proc. Int. Conf. Ultra Wideband Syst. Technol., Nov. 16–19, 2003, pp. 389–393.
www.iistechnologies.in
Ph: 9952077540
Services Offered
• Coding with Software’s
• Documents
• Video File
• Skype classes(Online Support)
• Team viewer Support(Online Support)
• Future Enhancement
• Paper writing
• Support For Inter-National Conference paper publication.
www.iistechnologies.in
Ph: 9952077540
Contact
IIS TECHNOLOGIES
No: 40, C-Block,First Floor,HIET Campus,
North Parade Road,St.Thomas Mount,
Chennai, Tamil Nadu 600016.
Landline:044 4263 7391,mob:9952077540.
Email:info@iistechnologies.in,
Web:www.iistechnologies.in
www.iistechnologies.in

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Mobile projected trajectory algorithm with velocity change detection for predicting residual link lifetime in manet

  • 1. MOBILE-PROJECTED TRAJECTORY ALGORITHM WITH VELOCITY-CHANGE DETECTION FOR PREDICTING RESIDUAL LINK LIFETIME IN MANET Presented by IIS TECHNOLOGIES No: 40, C-Block,First Floor,HIET Campus, North Parade Road,St.Thomas Mount, Chennai, Tamil Nadu 600016. Landline:044 4263 7391,mob:9952077540. Email:info@iistechnologies.in, Web:www.iistechnologies.in www.iistechnologies.in Ph: 9952077540
  • 2. Abstract • We study the estimation of residual link lifetime (RLL) in mobile ad hoc networks (MANETs) using the distances between the link’s nodes. • We first prove that to compute uniquely the RLL, at least four distance measurements are required. We also demonstrate that random measurement errors are the dominant factor in prediction inaccuracy and that systematic errors are negligible. • We then propose a mobile-projected trajectory (MPT) algorithm, which estimates the relative trajectory between two nodes from periodical measurements of the distances between them. • Using the relative trajectory, the algorithm estimates the RLL of the link between the two nodes. For comparison purposes, we derive a theoretical upper bound on the achievable prediction inaccuracy by any distance-based RLL prediction algorithm with unknown but finitely bounded measurement-error distribution. • To account for velocity changes, the MPT is enhanced with velocity-change detection (VCD) test. www.iistechnologies.in Ph: 9952077540
  • 3. Existing System • In existing, they proposed a prediction criterion, whereby a link with an older age is assumed to have a longer expected RLL. • The behavior of RLL as a function of link age under different mobility models through simulations and proposed several path-selection algorithms for MANETs. • Also they have proposed a routing protocol that reduced the node energy consumption to increase the network lifetime and developed a route-selection algorithm by computing link lifetimes to choose the least dynamic route; the link lifetimes were computed by the energy drain rate and estimated relative motion between the nodes. • In contrast with previous works, our algorithm does not necessitate GPS support, is designed for a network with mobile nodes all with basic functionality, requires no beacon nodes to provide location information, and treats the case where the velocity does not remain constant. www.iistechnologies.in Ph: 9952077540
  • 4. Disadvantages www.iistechnologies.in Ph: 9952077540 • Reduce the network lifetime • Increase delay
  • 5. Proposed System www.iistechnologies.in Ph: 9952077540 • In this project, we propose a mobile-projected trajectory (MPT) algorithm that estimates the relative trajectory between two nodes of a link from periodically measured distances between the nodes. • Using the relative trajectory, the MPT estimates the link’s RLL. • To account for velocity changes during the link’s lifetime, the MPT is augmented with a velocity- change detection (VCD) test. • The new algorithm, which is referred to as MPT-VCD, significantly improves the RLL prediction accuracy. • As we shall see, neither MPT nor MPT-VCD requires any information about node velocity or its position.
  • 6. Advantages • Efficient path selection • Increase network lifetime • Reduce delay www.iistechnologies.in Ph: 9952077540
  • 7. Flow Diagram www.iistechnologies.in Ph: 9952077540 Mobile projected directory Use relative trajectory Estimate trajectory between nodes MPT-VCD MPT estimate the link’s RLL Improves the RLL prediction accuracy
  • 8. Conclusion www.iistechnologies.in Ph: 9952077540 • We have first proved that, when mobile nodes do not possess any knowledge of their speed, direction, or position, it is necessary to periodically measure only four distances to compute a unique RLL solution. • We then proposed the MPT algorithm to compute the RLL. MPT performs linear curve fitting based on the periodical distance measurements. • If sampling becomes non-periodic, its negative effects on the computed RLL could be mitigated by sampling more than four distance measurements. • We demonstrated that measuring more distances with a constant sampling period would improve the prediction performance, although it comes at the expense of more prediction misses. • In general, a greater acquisition time leads to better prediction accuracy.
  • 9. Future Work www.iistechnologies.in Ph: 9952077540 • As a future direction, we propose to study the incorporation of the MPT-VCD into multipath routing algorithms for MANET, such as the split multipath routing and the diversity-coding-based multipath routing protocols. • In these protocols, data packets from a source can be transmitted along multiple paths, and the ability to choose the most reliable paths, or paths with longest RLL, could play a significant role in the ability of those protocols to support certain end-to- end QoS for multimedia traffic.
  • 10. TOOLS AND SOFTWARE USED Software • Network simulator(NS2) Language • Object Oriented Tool Command Language(OTCL) • C++ www.iistechnologies.in Ph: 9952077540
  • 11. References • F. Bai, N. Sadagopan, and A. Helmy, “Important: A framework to systematically analyze the impact of mobility on performance of routing protocols for ad hoc networks,” in Proc. IEEE Inf. Commun. Conf., Apr. 2003, pp. 825–835. • T. Camp, J. Boleng, and V. Davies, “A survey of mobility models for Ad Hoc network research,” Wireless Commun. Mobile Comput. Special Issue Mobile Ad Hoc Netw.: Res., Trends, Appl., vol. 2, no. 5, pp. 483–502, Aug. 2002. • J. Chen, Y. Han, D. Li, and J. Nie, “Link prediction and route selection based on channel state detection in UASNs,” in International Journal of Distributed Sensor Networks, vol. 2011. New York, NY, USA: Hindawi. • C.-C. Chong, F. Watanabe, and H. Inamura, “Potential of UWB technology for the next generation wireless communications,” inProc. IEEE 9th Int. Symp. Spread Spectrum Techn. Appl., Aug. 2006,pp. 422–429. • W. C. Chung and D. S. Ha, “An accurate ultra wideband (UWB) ranging for precision asset location,” in Proc. Int. Conf. Ultra Wideband Syst. Technol., Nov. 16–19, 2003, pp. 389–393. www.iistechnologies.in Ph: 9952077540
  • 12. Services Offered • Coding with Software’s • Documents • Video File • Skype classes(Online Support) • Team viewer Support(Online Support) • Future Enhancement • Paper writing • Support For Inter-National Conference paper publication. www.iistechnologies.in Ph: 9952077540
  • 13. Contact IIS TECHNOLOGIES No: 40, C-Block,First Floor,HIET Campus, North Parade Road,St.Thomas Mount, Chennai, Tamil Nadu 600016. Landline:044 4263 7391,mob:9952077540. Email:info@iistechnologies.in, Web:www.iistechnologies.in www.iistechnologies.in