Consistent Data Release in MANET Using Light Weight Verification Algorithm with High Node Mobility

Main Article Content

M Natraj Kumar
M Sri lakshmi
Dr.S Prem Kumar

Abstract

This paper addresses data aggregation and data packets problems for extremely
dynamic mobile temporary networks and Wireless sensor Networks thereby resulting in a timely
and reliable reduction in each communication and energy consumption. However there may be
node failures in existing systems Associate in an aggregation framework doesn't address
problems with false sub-aggregate values down to compromised nodes resulting in massive
errors in base station computed aggregates once data is transferred through mobile device
nodes. It cannot conjointly transfer data when nodes fail at the intermediate level. This paper
proposes a completely unique light-weight verification rule and Position primarily based
timeserving Routing (PTR) protocol that reduces node failure and knowledge loss problems.
Theoretical analysis and simulation prove that PTR and also the novel light-weight verification
rule succeed glorious performance below high node quality with acceptable overhead.
Conjointly the new void handling theme performs expeditiously.

Article Details

How to Cite
[1]
N. K. M, S. M, and P. K. S, “Consistent Data Release in MANET Using Light Weight Verification Algorithm with High Node Mobility”, Int. J. Comput. Eng. Res. Trends, vol. 1, no. 1, pp. 44–53, Jul. 2014.
Section
Research Articles
Author Biographies

M Natraj Kumar

 

 

M Sri lakshmi

 

 

Dr.S Prem Kumar

 

 

References

Madden, S., Franklin, M. J., Hellerstein, J. M., & Hong, W.(2002). TAG: A tiny aggregation service for ad-hoc

sensor networks. ACM SIGOPS Operating Systems Review, 36(SI),131-146.

Law, Y. W., Palaniswami, M., &Phan, R. C. W. (2009). Secure Data Aggregation in Wireless Sensor Networks.

Guide to Wireless Sensor Networks, 533-559.

Considine, J., Li, F., Kollios, G., & Byers, J. (2004, March). Approximate aggregation techniques for sensor

databases. In Data Engineering, 2004. Proceedings. 20th International Conference on (pp. 449-460). IEEE.

Garofalakis, M., Hellerstein, J. M., &Maniatis, P. (2007,April). Proof sketches: Verifiable in-network

aggregation. In Data Engineering, 2007. ICDE 2007. IEEE 23rd International Conference on (pp. 996 -1005). IEEE.

Yu, H. (2011). Secure and highly-available aggregation queries in large-scale sensor networks via set

sampling.Distributed Computing, 23(5), 373-394.

Frikken, K. B., & Dougherty IV, J. A. (2008, March). An efficient integrity-preserving scheme for hierarchical

sensor aggregation. In Proceedings of the first ACM conference on Wireless network security (pp. 68-76). ACM.

Broch, J., Maltz, D. A., Johnson, D. B., Hu, Y. C., &Jetcheva, J. (1998, October). A performance comparison of

multi-hop wireless ad hoc network routing protocols. In Proceedings of the 4th annual ACM/IEEE international

conference on Mobile computing and networking (pp. 85-97). ACM.

Karp, B., & Kung, H. T. (2000, August). GPSR: Greedy perimeter stateless routing for wireless networks. In

Proceedings of the 6th annual international conference on Mobile computing and networking (pp. 243-254). ACM.

Arad, N., &Shavitt, Y. (2009). Minimizing recovery state in geographic ad hoc routing. Mobile Computing,

IEEE Transactions on, 8(2), 203-217.

Ganesan, D., Govindan, R., Shenker, S., &Estrin, D. (2001).Highly-resilient, energy-efficient multipath routing

in wireless sensor networks. ACM SIGMOBILE Mobile Computing and Communications Review, 5(4), 11-25.

Ye, Z., Krishnamurthy, S. V., &Tripathi, S. K. (2003, March). A framework for reliable routing in mobile ad

hoc networks.

In INFOCOM 2003. Twenty-Second Annual Joint Conference of the IEEE Computer and Communications. IEEE

Societies (Vol. 1, pp. 270-280). IEEE.

Most read articles by the same author(s)