Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
skip to main content
10.1145/2068897.2068931acmconferencesArticle/Chapter ViewAbstractPublication PagesmswimConference Proceedingsconference-collections
research-article

Controlled potential-based routing for large-scale wireless sensor networks

Published: 31 October 2011 Publication History

Abstract

Improving the scalability of wireless sensor networks is an important task, and toward this end, much research on self-organization has been conducted. However, the problem remains that much larger networks based on pure self-organization cannot be guaranteed to behave as desired. In this paper, we propose a controlled potential-based routing protocol. This protocol is based on a novel concept: a "controlled self-organization scheme", which is a self-organization scheme accompanied by control from outside the system. This scheme ensures desired network behavior by controlling a portion of nodes operated in self-organization. Through simulation experiments with a multi-sink network, we show that traffic loads can be equalized among heterogeneously distributed sink nodes, and moreover, that load balancing among the relay nodes can bring about a 138% extension of network lifetime.

References

[1]
A. Basu, A. Lin, and S. Ramanathan. Routing Using Potentials: A Dynamic Traffic-Aware Routing Algorithm. In Proceedings of the 2003 Conference on Applications, Technologies, Architectures, and Protocols for Computer Communications, pages 37--48, Aug. 2003.
[2]
J. Branke, M. Mnif, C. Müller-Schloer, H. Prothmann, U. Richter, F. Rochner, and H. Schmeck. Organic Computing--Addressing Complexity by Controlled Self-Organization. In Second International Symposium on Leveraging Applications of Formal Methods, Verification and Validation (ISoLA), pages 185--191, 2006.
[3]
I. Dietrich and F. Dressler. On the Lifetime of Wireless Sensor Networks. ACM Transactions on Sensor Networks, 5(1):1--39, Feb. 2009.
[4]
F. Dressler. Self-Organization in Sensor and Actor Networks. Wiley, 2007.
[5]
S. Jung, M. Kserawi, D. Lee, and J.-K. K. Rhee. Distributed Potential Field Based Routing and Autonomous Load Balancing for Wireless Mesh Networks. IEEE Communications Letters, 13(6):429--431, 2009.
[6]
M. Kalantari and M. Shayman. Design Optimization of Multi-Sink Sensor Networks by Analogy to Electrostatic Theory. In Proceedings of the IEEE Wireless Communications and Networking Conference (WCNC), pages 431--438, Apr. 2006.
[7]
D. Kominami, M. Sugano, M. Murata, and T. Hatauchi. Energy-Efficient Receiver-Driven Wireless Mesh Sensor Networks. Sensors, 11(1):111--137, Jan. 2011.
[8]
P. Kumar, J. Kuri, P. Nuggehalli, M. Strasser, M. May, and B. Plattner. Connectivity-Aware Routing in Sensor Networks. In Proceedings of the International Conference on Sensor Technologies and Applications (SENSORCOMM), pages 387--392, Oct. 2007.
[9]
J. Li, S. Ji, H. Jin, and Q. Ren. Routing in Multi-Sink Sensor Networks Based on Gravitational Field. In International Conference of Embedded Software and Systems (ICESS), pages 368--375, July 2008.
[10]
H. Liu, Z.-L. Zhang, J. Srivastava, and V. Firoiu. PWave: A Multi-Source Multi-Sink Anycast Routing Framework for Wireless Sensor Networks. NETWORKING 2007. Ad Hoc and Sensor Networks, Wireless Networks, Next Generation Internet, pages 179--190, 2010.
[11]
Y. Liu and W. K. G. Seah. A Scalable Priority-Based Multi-Path Routing Protocol for Wireless Sensor Networks. International Journal of Wireless Information Networks, 12(1):23--33, Jan. 2005.
[12]
C. Müller-Schloer, H. Schmeck, and T. Ungerer. Organic Computing--A Paradigm Shift for Complex Systems. Birkhauser, 2011.
[13]
H. Ochiai and H. Esaki. Message Routing on Potential-fields in Forwarding-based DTNs. In Proceedings of the 3rd International Conference on Ubiquitous Information Management and Communication (ICUIMC), pages 185--193, Jan. 2009.
[14]
Y. Sun, O. Gurewitz, and D. B. Johnson. RI-MAC: A Receiver-Initiated Asynchronous Duty Cycle MAC Protocol for Dynamic Traffic Loads in Wireless Sensor Networks. In Proceedings of the 6th ACM conference on Embedded network sensor systems (Sensys), pages 1--14, Nov. 2008.
[15]
C. Wu, R. Yuan, and H. Zhou. A Novel Load Balanced and Lifetime Maximization Routing Protocol in Wireless Sensor Networks. In Proceedings of the IEEE Vehicular Technology Conference (VTC), pages 113--117, May 2008.
[16]
J. Zhang, Q. Wu, F. Ren, T. He, and C. Lin. Effective Data Aggregation Supported by Dynamic Routing in Wireless Sensor Networks. In Proceedings of the IEEE International Conference on Communications (ICC), pages 1--6, May 2010.

Cited By

View all
  • (2015)RPL-based routing protocols for multi-sink wireless sensor networks2015 IEEE 11th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob)10.1109/WiMOB.2015.7347997(452-459)Online publication date: Oct-2015
  • (2014)Self-organizing node deployment based on virtual spring mesh for mobile wireless sensor network2014 IEEE Wireless Communications and Networking Conference (WCNC)10.1109/WCNC.2014.6953018(3148-3153)Online publication date: Apr-2014
  • (2013)Combining sender- and receiver-driven MAC protocols for a large-scale metering system based on potential routing2013 10th International Conference and Expo on Emerging Technologies for a Smarter World (CEWIT)10.1109/CEWIT.2013.6713748(1-6)Online publication date: Oct-2013
  • Show More Cited By

Index Terms

  1. Controlled potential-based routing for large-scale wireless sensor networks

    Recommendations

    Comments

    Information & Contributors

    Information

    Published In

    cover image ACM Conferences
    MSWiM '11: Proceedings of the 14th ACM international conference on Modeling, analysis and simulation of wireless and mobile systems
    October 2011
    462 pages
    ISBN:9781450308984
    DOI:10.1145/2068897
    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]

    Sponsors

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 31 October 2011

    Permissions

    Request permissions for this article.

    Check for updates

    Author Tags

    1. controlled self-organization
    2. diffusion equation
    3. load balancing; robustness
    4. potential-based routing

    Qualifiers

    • Research-article

    Conference

    MSWiM '11
    Sponsor:

    Acceptance Rates

    Overall Acceptance Rate 398 of 1,577 submissions, 25%

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • Downloads (Last 12 months)1
    • Downloads (Last 6 weeks)1
    Reflects downloads up to 30 Jan 2025

    Other Metrics

    Citations

    Cited By

    View all
    • (2015)RPL-based routing protocols for multi-sink wireless sensor networks2015 IEEE 11th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob)10.1109/WiMOB.2015.7347997(452-459)Online publication date: Oct-2015
    • (2014)Self-organizing node deployment based on virtual spring mesh for mobile wireless sensor network2014 IEEE Wireless Communications and Networking Conference (WCNC)10.1109/WCNC.2014.6953018(3148-3153)Online publication date: Apr-2014
    • (2013)Combining sender- and receiver-driven MAC protocols for a large-scale metering system based on potential routing2013 10th International Conference and Expo on Emerging Technologies for a Smarter World (CEWIT)10.1109/CEWIT.2013.6713748(1-6)Online publication date: Oct-2013
    • (2012)Proposal and Evaluation of Ant-Based Routing with Autonomous Zoning for Convergence ImprovementProceedings of the 2012 15th International Conference on Network-Based Information Systems10.1109/NBiS.2012.39(290-297)Online publication date: 26-Sep-2012

    View Options

    Login options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    Figures

    Tables

    Media

    Share

    Share

    Share this Publication link

    Share on social media