Email this article To Improve The Inference Capability Using Traces From WSN Deployments
Abstract
WSNs are winding up noticeably progressively complex with the developing system scale and the dynamic idea of remote interchanges. Numerous estimation and analytic methodologies rely upon per-parcel directing ways for precise and fine-grained examination of the mind boggling system practices. In this we propose iPath, a novel way deduction approach to manage reproducing the per-package coordinating courses in intense and immense scale frameworks. The fundamental idea of iPath is to experience high path closeness to iteratively assemble long courses from short ones. iPath starts with a hidden known game plan of ways and performs way finding iteratively. iPath joins a novel arrangement of a lightweight hash work for check of the assembled ways. With a particular ultimate objective to furthermore upgrade the determination capacity and furthermore the execution profitability, iPath consolidates a speedy bootstrapping estimation to reproduce the basic course of action of ways. We moreover realize iPath and survey its execution using takes after from far reaching scale WSN courses of action and also wide diversions.
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.
Refbacks
- There are currently no refbacks.
Copyright © 2013, All rights reserved.| ijseat.com
International Journal of Science Engineering and Advance Technology is licensed under a Creative Commons Attribution 3.0 Unported License.Based on a work at IJSEat , Permissions beyond the scope of this license may be available at http://creativecommons.org/licenses/by/3.0/deed.en_GB.
Â