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A genetic approach for WSN lifetime maximization through dynamic linking and management

Published: 17 October 2010 Publication History

Abstract

Although some remarkable advancements have been achieved in the field of Wireless Sensors Networks concerning hardware configurations and networking, a shadow cone still overstays the research for general and effective software-design approaches, the main reason being the tight requirements and constraints peculiar of this class of distributed embedded systems. This paper presents a technique to optimize a sensor network under memory and energy constraints by dynamically allocating and managing cooperating functions. The proposed approach combines a genetic optimization of the functional allocation policy with a dynamic linking mechanism supporting it.

References

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C. Brandolese and W. Fornaciari. A framework for compile-time and run-time management of non-functional aspects in wsn's nodes. In Proc. of Euromicro DSD'09, Patras, Greece, Sep. 2009.
[2]
C. Brandolese, L. Rucco, and W. Fornaciari. A lightweight mechanism for dynamic linking in wireless sensor networks. In Proc. of LASCAS'10, Foz do Iguazu, Brazil, Feb. 2010
[3]
S. Brown. Updating software in wireless sensor networks: A survey. Tech. rep., National University of Ireland, 2006.
[4]
H.-S. Seo, S.-J. Oh, and C.-W. Lee. Evolutionary genetic algorithm for efficient clustering of wireless sensor networks. In Proc. of CCNC'09, Las Vegas, US, Jan. 2009.

Cited By

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  • (2012)Evolutionary and Principled Search Strategies for Sensornet Protocol OptimizationIEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics10.1109/TSMCB.2011.216146642:1(163-180)Online publication date: 1-Feb-2012

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cover image ACM Conferences
PE-WASUN '10: Proceedings of the 7th ACM workshop on Performance evaluation of wireless ad hoc, sensor, and ubiquitous networks
October 2010
114 pages
ISBN:9781450302760
DOI:10.1145/1868589

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 17 October 2010

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Author Tags

  1. genetic algorithm
  2. power optimization
  3. remote dynamic linking
  4. wireless sensor networks

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Overall Acceptance Rate 70 of 240 submissions, 29%

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  • (2012)Evolutionary and Principled Search Strategies for Sensornet Protocol OptimizationIEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics10.1109/TSMCB.2011.216146642:1(163-180)Online publication date: 1-Feb-2012

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