A one-shot dynamic optimization methodology for wireless sensor networks

Arslan Munir, Ann Gordon-Ross, Susan Lysecky, Roman L Lysecky

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Citations (Scopus)

Abstract

Wireless sensor networks (WSNs), consisting of autonomous sensor nodes, have emerged as ubiquitous networks which span diverse application domains (e.g., health care, logistics, defense) each with varying application requirements (e.g., lifetime, throughput). Sensor nodes possess tunable parameters (e.g., processor voltage, sensing frequency), which enable platform specialization for particular application requirements. WSN application design can be daunting for application developers, which are oftentimes not trained engineers (e.g., biologists, agriculturists) who wish to utilize the sensor-based systems within their given domain. Dynamic optimizations enable sensor-based platforms to tune parameters in-situ to automatically determine an operating state. However, rapidly changing application behavior and environmental stimuli necessitate a lightweight and highly responsive dynamic optimization methodology. In this paper, we propose One-Shot - A lightweight dynamic optimization methodology that determines initial tunable parameter settings to give a high-quality operating state in One-Shot for timecritical and highly constrained applications. Results reveal that One-Shot solution is within 5.92% of the optimal solution on average. To assist dynamic optimizations in determining an operating state, we propose an application metric estimation model to establish a relationship between application metrics (e.g., lifetime) and sensor-based platform parameters.

Original languageEnglish (US)
Title of host publicationUBICOMM 2010 - 4th International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies
Pages287-293
Number of pages7
StatePublished - 2010
Event4th International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies, UBICOMM 2010 - Florence, Italy
Duration: Oct 25 2010Oct 30 2010

Other

Other4th International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies, UBICOMM 2010
CountryItaly
CityFlorence
Period10/25/1010/30/10

Fingerprint

Wireless sensor networks
Sensor nodes
Sensors
Health care
Logistics
Throughput
Engineers
Electric potential

Keywords

  • Application metric estimation
  • Dynamic optimization
  • Wireless sensor networks

ASJC Scopus subject areas

  • Software

Cite this

Munir, A., Gordon-Ross, A., Lysecky, S., & Lysecky, R. L. (2010). A one-shot dynamic optimization methodology for wireless sensor networks. In UBICOMM 2010 - 4th International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies (pp. 287-293)

A one-shot dynamic optimization methodology for wireless sensor networks. / Munir, Arslan; Gordon-Ross, Ann; Lysecky, Susan; Lysecky, Roman L.

UBICOMM 2010 - 4th International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies. 2010. p. 287-293.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Munir, A, Gordon-Ross, A, Lysecky, S & Lysecky, RL 2010, A one-shot dynamic optimization methodology for wireless sensor networks. in UBICOMM 2010 - 4th International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies. pp. 287-293, 4th International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies, UBICOMM 2010, Florence, Italy, 10/25/10.
Munir A, Gordon-Ross A, Lysecky S, Lysecky RL. A one-shot dynamic optimization methodology for wireless sensor networks. In UBICOMM 2010 - 4th International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies. 2010. p. 287-293
Munir, Arslan ; Gordon-Ross, Ann ; Lysecky, Susan ; Lysecky, Roman L. / A one-shot dynamic optimization methodology for wireless sensor networks. UBICOMM 2010 - 4th International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies. 2010. pp. 287-293
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