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Knowledge-based design space exploration of wireless sensor networks

Published: 07 October 2012 Publication History

Abstract

The complexity of Wireless Sensor Networks (WSNs) has been constantly increasing over the last decade, and the necessity of efficient CAD tools has been growing accordingly. In fact, the size of the design space of a WSN has become large, and an exploration conducted by using semi-random algorithms (such as the popular genetic or simulated annealing algorithms) requires an unacceptable amount of time to converge due to the high number of parameters involved. To address this issue, in this paper we introduce a knowledge-based design space exploration algorithm for the WSN domain, which is based on a discrete-space Markov decision process (MDP). In order to enhance the performance of the proposed algorithm and to increase its scalability, we tailor the classical MDP approach to the specific aspects that characterize the WSN domain. We exploit domain-specific knowledge to choose the best node-level configuration in WSNs using slotted star topology in order to reduce the exploration time. The proposed approach has been tested on IEEE 802.15.4 star networks with various configurations of the number of nodes and their packet rates. Experimental results show that the proposed algorithm reduces the number of simulations required to converge, with respect to state-of-the-art algorithms (e.g., NSGA-II, PMA and MOSA), from 60 to 87%

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Cited By

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  • (2024)Topology- and Resource-Based Distribution Scheme for Collaborative Security-Focused Design Space Exploration in Large-Scale Static WSNs2024 34th International Telecommunication Networks and Applications Conference (ITNAC)10.1109/ITNAC62915.2024.10815368(1-6)Online publication date: 27-Nov-2024
  • (2016)Eboracum: An extensible framework for high-level modeling and evaluation of reactive and adaptable WSNs2016 IEEE 21st International Conference on Emerging Technologies and Factory Automation (ETFA)10.1109/ETFA.2016.7733569(1-8)Online publication date: Sep-2016
  • (2016)Application modeling for performance evaluation on event-triggered wireless sensor networksDesign Automation for Embedded Systems10.1007/s10617-016-9177-120:4(269-287)Online publication date: 1-Dec-2016
  • Show More Cited By

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Published In

cover image ACM Conferences
CODES+ISSS '12: Proceedings of the eighth IEEE/ACM/IFIP international conference on Hardware/software codesign and system synthesis
October 2012
596 pages
ISBN:9781450314268
DOI:10.1145/2380445
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: 07 October 2012

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Author Tags

  1. design space exploration
  2. markov decision process
  3. wireless sensor networks

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  • Research-article

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ESWEEK'12
ESWEEK'12: Eighth Embedded System Week
October 7 - 12, 2012
Tampere, Finland

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CODES+ISSS '12 Paper Acceptance Rate 48 of 163 submissions, 29%;
Overall Acceptance Rate 280 of 864 submissions, 32%

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Cited By

View all
  • (2024)Topology- and Resource-Based Distribution Scheme for Collaborative Security-Focused Design Space Exploration in Large-Scale Static WSNs2024 34th International Telecommunication Networks and Applications Conference (ITNAC)10.1109/ITNAC62915.2024.10815368(1-6)Online publication date: 27-Nov-2024
  • (2016)Eboracum: An extensible framework for high-level modeling and evaluation of reactive and adaptable WSNs2016 IEEE 21st International Conference on Emerging Technologies and Factory Automation (ETFA)10.1109/ETFA.2016.7733569(1-8)Online publication date: Sep-2016
  • (2016)Application modeling for performance evaluation on event-triggered wireless sensor networksDesign Automation for Embedded Systems10.1007/s10617-016-9177-120:4(269-287)Online publication date: 1-Dec-2016
  • (2015)Impact of Temporal and Spatial Application Modeling on Event-Triggered Wireless Sensor Network EvaluationProceedings of the 2015 Brazilian Symposium on Computing Systems Engineering (SBESC)10.1109/SBESC.2015.13(30-35)Online publication date: 3-Nov-2015
  • (2015)A framework to support dependability evaluation of WSNs from AADL models2015 IEEE 20th Conference on Emerging Technologies & Factory Automation (ETFA)10.1109/ETFA.2015.7301560(1-6)Online publication date: Sep-2015
  • (2015)Markov Decision Processes With Applications in Wireless Sensor Networks: A SurveyIEEE Communications Surveys & Tutorials10.1109/COMST.2015.242068617:3(1239-1267)Online publication date: 1-Jul-2015

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