Nothing Special   »   [go: up one dir, main page]

skip to main content
10.1145/2387238.2387303acmconferencesArticle/Chapter ViewAbstractPublication PagesmswimConference Proceedingsconference-collections
research-article

Adaptive neighbor discovery for mobile and low power wireless sensor networks

Published: 21 October 2012 Publication History

Abstract

Wireless Sensor Networks are by nature highly dynamic and communication between sensors is completely ad hoc, especially when mobile devices are part of the setup. Numerous protocols and applications proposed for such networks operate on the assumption that knowledge of the neighborhood is a priori available to all nodes. As a result, WSN deployments need to use or implement from scratch a neighborhood discovery mechanism. In this work we present a new protocol based on adaptive periodic beacon exchanges. We totally avoid continuous beaconing by adjusting the rate of broadcasts using the concept of consistency over the understanding of neighborhood that nearby devices share. We propose, implement and evaluate our adaptive neighborhood discovery protocol over our experimental testbed and using large scale simulations. Our results indicate that the new protocol operates more efficiently than existing reference implementations while it provides valid information to applications that use it. Extensive performance evaluation indicates that it successfully reduces generated network traffic by 90% and increases network lifetime by 20% compared to existing mechanisms that rely on continuous beaconing.

References

[1]
Coalesenses isense sensors. http://www.coalesenses.com/.
[2]
Semantic service provisioning for the internet of things using future internet research by experimentation, (SPITFIRE). http://spitfire-project.eu.
[3]
D. Amaxilatis, I. Chatzigiannakis, S. Dolev, C. Koninis, A. Pyrgelis, and P. Spirakis. Adaptive Hierarchical Network Structures for Wireless Sensor Networks. In Int. Conference on Ad Hoc Networks, AdHocNets '11.
[4]
A. D. Amis, R. Prakash, T. H. Vuong, D. T. Huynh, T. H. P, V. Dung, and T. Huynh. Max-min d-cluster formation in wireless ad hoc networks. In IEEE Information Communications Marketplace, INFOCOMM '00, pages 32--41.
[5]
D. J. Anthony, W. P. Bennett, M. C. Vuran, M. B. Dwyer, S. Elbaum, and F. Chavez-Ramirez. Simulating and testing mobile wireless sensor networks. In Int. Conference on Modeling, analysis, and simulation of wireless and mobile systems, MSWIM '10, pages 49--58.
[6]
A. Bamis, A. Boukerche, I. Chatzigiannakis, and S. Nikoletseas. A mobility aware protocol synthesis for efficient routing in ad hoc mobile networks. Computer Networks, 52(1):130 -- 154, 2008. MSWIM'06.
[7]
T. Baumgartner, I. Chatzigiannakis, S. Fekete, C. Koninis, A. Kroller, and A. Pyrgelis. Wiselib: A generic algorithm library for heterogeneous sensor networks. Computer Engineering, page 16, 2011.
[8]
K. Chantzis, C. Koninis, I. Chatzigiannakis, and J. Rolim. Design and evaluation of a lightweight tracking algorithm using wireless sensor networks. In Int. Conference on Mobile Ad-hoc and Sensor Systems, MASS '11.
[9]
I. Chatzigiannakis, C. Koninis, G. Mylonas, S. Fischer, and D. Pfisterer. WISEBED: an open large-scale wireless sensor network testbed. In Int. Conference on Sensor Networks Applications, Experimentation and Logistics, 2009.
[10]
I. Chatzigiannakis and P. Spirakis, editors. Distributed Self-organized Societies of Tiny Artefacts: Design & Implementation. FET Pervasive Adaptation Research, FRONTS Project, 2011.
[11]
G. Coulson, B. Porter, I. Chatzigiannakis, C. Koninis, S. Fischer, D. Pfisterer, D. Bimschas, T. Braun, P. Hurni, M. Anwander, G. Wagenknecht, S. Fekete, A. KrAuller, and T. Baumgartner. Flexible experimentation in wireless sensor networks. Communications of the ACM, 55(1):82--90, 2012.
[12]
S. P. Fekete, A. Kroller, S. Fischer, and D. Pfisterer. Shawn: The fast, highly customizable sensor network simulator. In Int. Conference on Networked Sensing Systems, INSS 2007.
[13]
V. Iyer, A. Pruteanu, and S. Dulman. Netdetect: Neighborhood discovery in wireless networks using adaptive beacons. In 5th Int. Conference Self-Adaptive and Self-Organizing Systems, SASO '11, pages 31--40.
[14]
G. Jakllari, W. Luo, and S. V. Krishnamurthy. An integrated neighbor discovery and mac protocol for ad hoc networks using directional antennas. In Int Symposium on a World of Wireless Mobile and Multimedia Networks, WoWMoM '05, pages 11--21.
[15]
N. Kushalnagar, G. Montenegro, and C. P. Schumacher. IPv6 over low-power wireless personal area networks (6LoWPANs): Overview, assumptions, problem statement, and goals. RFC 4919, RFC Editor, 2007.
[16]
P. Levis, N. Patel, D. Culler, and S. Shenker. Trickle: a self-regulating algorithm for code propagation and maintenance in wireless sensor networks. In Symposium on Networked Systems Design and Implementation, NSDI '04, pages 15--28.
[17]
P. Nie, Z. Jin, and Y. Gong. Mires++: a reliable, energy-aware clustering algorithm for wireless sensor networks. In Int. Conference on Modeling, analysis, and simulation of wireless and mobile systems, MSWIM '10, pages 178--186.
[18]
B. Pavkovic, F. Theoleyre, and A. Duda. Multipath opportunistic rpl routing over ieee 802.15.4. In Int. Conference on Modeling, analysis and simulation of wireless and mobile systems, MSWiM '11, pages 179--186.
[19]
J. Polastre, J. Hui, P. Levis, J. Zhao, D. Culler, S. Shenker, and I. Stoica. A unifying link abstraction for wireless sensor networks. In Int. Conference on Embedded networked sensor systems, SenSys '05, pages 76--89.
[20]
R. Steinmetz. Combining simulations, models and testbeds: possibilities and pitfalls. In Int. Conference on Modeling, analysis and simulation of wireless and mobile systems, MSWiM '09, pages 1--1.
[21]
C. K. Toh. Wireless ATM and Ad-hoc Networks: Protocols and Architectures. Kluwer Academic Publishers, 1997.
[22]
L. Wang, Y. Li, Z. Xu, and S. V. Krishnamurthy. A novel neighbor discovery protocol for ultraviolet wireless networks. In Int. Conference on Modeling, analysis and simulation of wireless and mobile systems, MSWiM '11, pages 135--142.
[23]
Z. R. Zaidi, M. Portmann, and W. L. Tan. Analysis of link break detection using hello messages. In Int. Conference on Modeling, analysis and simulation of wireless and mobile systems, MSWiM '11, pages 143--150.

Cited By

View all
  • (2022)Blender: Toward Practical Simulation Framework for BLE Neighbor DiscoveryProceedings of the 25th International ACM Conference on Modeling Analysis and Simulation of Wireless and Mobile Systems10.1145/3551659.3559052(103-110)Online publication date: 24-Oct-2022
  • (2018)Design and Analysis of Adaptive Hierarchical Low-Power Long-Range NetworksJournal of Sensor and Actuator Networks10.3390/jsan70400517:4(51)Online publication date: 27-Nov-2018
  • (2016)Competition: An Adaptive Protocol Stack for High-Dependability based on the Population Protocols ParadigmProceedings of the 2016 International Conference on Embedded Wireless Systems and Networks10.5555/2893711.2893779(291-292)Online publication date: 15-Feb-2016
  • Show More Cited By

Recommendations

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM Conferences
MSWiM '12: Proceedings of the 15th ACM international conference on Modeling, analysis and simulation of wireless and mobile systems
October 2012
428 pages
ISBN:9781450316286
DOI:10.1145/2387238
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: 21 October 2012

Permissions

Request permissions for this article.

Check for updates

Author Tags

  1. adaptive protocols
  2. experimental evaluation
  3. low power networks
  4. mobile networks
  5. neighborhood discovery
  6. protocol design
  7. wireless sensor networks

Qualifiers

  • Research-article

Conference

MSWiM '12
Sponsor:

Acceptance Rates

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

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)0
  • Downloads (Last 6 weeks)0
Reflects downloads up to 30 Jan 2025

Other Metrics

Citations

Cited By

View all
  • (2022)Blender: Toward Practical Simulation Framework for BLE Neighbor DiscoveryProceedings of the 25th International ACM Conference on Modeling Analysis and Simulation of Wireless and Mobile Systems10.1145/3551659.3559052(103-110)Online publication date: 24-Oct-2022
  • (2018)Design and Analysis of Adaptive Hierarchical Low-Power Long-Range NetworksJournal of Sensor and Actuator Networks10.3390/jsan70400517:4(51)Online publication date: 27-Nov-2018
  • (2016)Competition: An Adaptive Protocol Stack for High-Dependability based on the Population Protocols ParadigmProceedings of the 2016 International Conference on Embedded Wireless Systems and Networks10.5555/2893711.2893779(291-292)Online publication date: 15-Feb-2016
  • (2014)Symmetric Coherent Link Degree, Adaptive Throughput-Transmission Power for Wireless Sensor NetworksProceedings of the 2014 IEEE International Conference on Distributed Computing in Sensor Systems10.1109/DCOSS.2014.13(26-34)Online publication date: 26-May-2014

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