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Distributed maintenance of minimum-cost path information in wireless sensor networks

Published: 31 October 2011 Publication History

Abstract

The quality of the communication links in a Wireless Sensor Network often shows significant asymmetry and variation over time, due to, for example, heterogeneous settings of the transmission power, moving nodes or changing external interference. This makes it difficult for nodes to accurately maintain system-level properties, such as the minimum-energy path from the node to a given reference node, as required by many protocols. In this paper, we introduce a distributed service that allows nodes to maintain accurate information related to the minimum-cost path, such as its cost or parent on that path. Using controlled n-hop forwarding, to deal with asymmetric links, every node disseminates minimum-cost path and connectivity information allowing every connected node in the network to iteratively derive minimum-cost path information. This controlled n-hop forwarding is repeated to avoid stale information due to dynamic changes in link qualities. The parameters of the service allow a trade-off between the accuracy and overhead. We study the characteristics of a deployment that impact this trade-off and how the service should be parameterized accordingly. Extensive simulations and experiments for an actual deployment show a significant increase in the accuracy of the maintained minimum-cost path information, compared to the typically used local broadcasting approach.

References

[1]
N. Baccour et al. A comparative simulation study of line quality estimators in wireless sensor networks. MASCOTS. pages 1--10, 2009.
[2]
BSN website, ICL London. http://vip.doc.ic.ac.uk/bsn/m621.html.
[3]
A. Cerpa et al. Temporal properties of low power wireless links: modeling and implications on multi-hop routing. MobiHoc, pages 414--425, 2005.
[4]
J.-H. Chang and L. Tassiulas. Maximum lifetime routing in wireless sensor networks. IEEE/ACM Trans. Netw. 12(4):609--619, 2004.
[5]
J. Du, W. Shi, and K. Sha. Asymmetry-aware link layer services in wireless sensor networks. Journal of Embedded Computing, 3:141--154, 2009.
[6]
R. Fonseca et al. Tinyos tep 123: The collection tree protocol. August 2006.
[7]
E. Hyytia and J. Virtamo. Random waypoint mobility a model in cellular networks. Wirel. Netw., 13:177--188, 2007.
[8]
C. Intanagonwiwat et. al. Directed diffusion for wireless sensor networking. IEEE/ACM Trans. Netw., 11(1):2--16. 2003.
[9]
D. Kotz, C. Newport, and C. Elliott. The mistaken axioms of wireless network research. Technical Report TR2003--467. Dartmouth College, July 2003.
[10]
S. Lin et al. ATPC: adaptive transmission power control for wireless sensor networks. In SenSys, pages 223--236, 2006.
[11]
MiXiM website. mixim.sourceforge.net.
[12]
D. Niculescu and B. Nath. Ad hoc positioning system (APS). In GLOBECOM, volume 5, pages 2926--2931, 2001.
[13]
OMNeT++ website. www.omnetpp.org.
[14]
L. Sang, A. Arora, and H. Zhang. On link asymmetry and one-way estimation in wireless sensor networks. ACM Trans. Sen. Netw., 6(2), 2010.
[15]
C. Schurgers and M. Srivastava. Energy efficient routing in wireless sensor networks. MILCOM, 2001.
[16]
K. Srinivasan and P. Levis. RSSI is Under Appreciated. In EmNets, 2006.
[17]
I. Stojmenovic and X. Lin. Power-aware localized routing in wireless networks. IEEE Trans. Parallel Distrib. Syst. 12(11):1122--1133, 2001.
[18]
TelosB Datasheet, Crossbow Inc. www.xbow.com.
[19]
TinyOS website. www.tinyos.net.
[20]
A. Woo, T. Tong, and D. Culler. Taming the Underlying Challenges of Reliable Multihop Routing in Sensor Networks. In SenSys, pages 14--27, 2003.
[21]
F. Ye and A. Chen. A Scalable Solution to Minimum Cost Forwarding in Large Sensor Networks. In ICCCN, pages 304--309, 2001.
[22]
F. Ye et al. GRAdient broadcast: a robust data delivers protocol for large scale sensor networks. Wirel. Netw. 11(3):285--298, 2005.
[23]
J. Zhao and R. Govindan. Understanding packet delivers performance in dense wireless sensor networks. In SenSys. pages 1--13, 2003.
[24]
G. Zhou, T. He, S. Krishnamurthy, and J. A. Stankovic. Impact of Radio Irregularity on Wireless Sensor Networks. In MobiSYS, pages 125--138, 2004.

Cited By

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  • (2015)A Distributed Reconfiguration Approach for Quality-of-Service Provisioning in Dynamic Heterogeneous Wireless Sensor NetworksACM Transactions on Sensor Networks10.1145/266335411:2(1-41)Online publication date: 2-Mar-2015
  • (2012)A Distributed Feedback Control Mechanism for Quality-of-Service Maintenance in Wireless Sensor NetworksProceedings of the 2012 15th Euromicro Conference on Digital System Design10.1109/DSD.2012.1(739-742)Online publication date: 5-Sep-2012

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cover image ACM Conferences
PM2HW2N '11: Proceedings of the 6th ACM workshop on Performance monitoring and measurement of heterogeneous wireless and wired networks
October 2011
140 pages
ISBN:9781450309028
DOI:10.1145/2069087
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 31 October 2011

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  1. minimum-cost path
  2. wireless sensor networks

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Cited By

View all
  • (2015)A Distributed Reconfiguration Approach for Quality-of-Service Provisioning in Dynamic Heterogeneous Wireless Sensor NetworksACM Transactions on Sensor Networks10.1145/266335411:2(1-41)Online publication date: 2-Mar-2015
  • (2012)A Distributed Feedback Control Mechanism for Quality-of-Service Maintenance in Wireless Sensor NetworksProceedings of the 2012 15th Euromicro Conference on Digital System Design10.1109/DSD.2012.1(739-742)Online publication date: 5-Sep-2012

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