Enhanced Path Reconstruction with Security in WSN

R.V.V.Gani Lakshmi, S N Ali Ansari

Abstract


Late remote sensor systems are winding up noticeably progressively complex with the developing system scale and the dynamic way of remote interchanges. Numerous estimation and analytic methodologies rely on upon per-parcel steering ways for precise and fine-grained examination of the mind boggling system practices. In this project, we propose enhanced iPath, a novel way surmising way to deal with remaking the per-bundle directing ways in powerful and extensive scale systems. The fundamental thought of iPath is to endeavor high way closeness to iteratively gather long ways from short ones. iPath begins with an underlying known arrangement of ways and performs way induction iteratively. iPath incorporates a novel outline of a lightweight hash work for check of the gathered ways., iPath includes a enhanced iterative  fast bootstrapping algorithm along with security mechanisim with ECC-256 bit algorithm to reconstruct the initial set of paths. 


References


M. Ceriottiet al., “Monitoring heritage buildings with wireless sensor networks: The Torre Aquila deployment,” in Proc. IPSN, 2009, pp. 277–288.

L. Mo et al., “Canopy closure estimates with GreenOrbs: Sustainable sensing in the forest,” in Proc. SenSys, 2009, pp. 99–112.

X. Mao et al., “CitySee: Urban CO2 monitoring with sensors,” in Proc. IEEE INFOCOM, 2012, pp. 1611–1619.

O. Gnawali, R. Fonseca, K. Jamieson, D. Moss, and P. Levis, “Collection tree protocol,” in Proc. SenSys, 2009, pp. 1–14.

D. S. J. D. Couto, D. Aguayo, J. Bicket, and R. Morris, “A highthroughput path metric for multi-hop wireless routing,” in Proc. MobiCom, 2003, pp. 134–146.

Z. Li, M. Li, J. Wang, and Z. Cao, “Ubiquitous data collection for mobile users in wireless sensor networks,” in Proc. IEEE INFOCOM, 2011, pp. 2246–2254.

X. Lu, D. Dong, Y. Liu, X. Liao, and L. Shanshan, “PathZip: Packet path tracing in wireless sensor networks,” in Proc. IEEE MASS, 2012, pp. 380–388.

M. Keller, J. Beutel, and L. Thiele, “How was your journey? Uncovering routing dynamics in deployed sensor networks with multi-hop network tomography,” in Proc. SenSys, 2012, pp. 15–28.

Y. Yang, Y. Xu, X. Li, and C. Chen, “A loss inference algorithm for wireless sensor networks to improve data reliability of digital ecosystems.,” IEEE Trans. Ind. Electron., vol. 58, no. 6, pp. 2126–2137, Jun. 2011.

Y. Liu, K. Liu, and M. Li, “Passive diagnosis for wireless sensor networks,” IEEE/ACM Trans. Netw., vol. 18, no. 4, pp. 1132–1144, Aug. 2010.

W. Dong, Y. Liu, Y. He, T. Zhu, and C. Chen, “Measurement and analysis on the packet delivery performance in a large-scale sensor network,” IEEE/ACM Trans. Netw., 2013, to be published.

J. Wang, W. Dong, Z. Cao, and Y. Liu, “On the delay performance analysis in a large-scale wireless sensor network,” in Proc. IEEE RTSS, 2012, pp. 305–314.

Y. Liang and R. Liu, “Routing topology inference for wireless sensor networks,” Comput. Commun. Rev., vol. 43, no. 2, pp. 21–28, 2013.

Y. Gaoet al., “Domo: Passive per-packet delay tomography in wireless ad-hoc networks,” in Proc. IEEE ICDCS, 2014, pp. 419–428.

M. Lee, S. Goldberg, R. R. Kompella, and G. Varghese, “Fine-grained latency and loss measurements in the presence of reordering,” in Proc.ACM SIGMETRICS, 2011, pp. 329–340.


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