Low duty-cycling with spline-based curve fitting of sensor data in wireless sensor networks

Rubina Sultan, Noor M. Khan, Muhammad Shafiq

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

Abstract

Traditionally, sensors in wireless sensor networks are designed to collect data from the area of interest and forward it to the base-station. In periodic sensing, the prior knowledge about the data collected by sensor helps in making the sensor more sophisticated. The proposed scheme verified through the simulations helps to conserve the highly constrained resources of the network through pro-active decision making by the sensor-node. A spline curve fitting model built using historical data of the sensor is installed on the sensor and the user-node. The model helps to predict the current observed value knowing the past readings of the sensor. If relative-error between the calculated and the observed value by sensor is less than certain threshold, the sensor could schedule itself to stay idle instead of being in transmission mode. The same model installed on the user-node could be used to obtain the approximated observed value. This paper contributes by exploring an untapped area for node scheduling in wireless sensor networks. The proposed scheme uses a decentralized scheduling algorithm which is generic and easy to implement.

Original languageEnglish
Title of host publicationProceedings - 4th International Conference on Networked Computing and Advanced Information Management, NCM 2008
Pages497-501
Number of pages5
Volume1
DOIs
Publication statusPublished - 2008
Event4th International Conference on Networked Computing and Advanced Information Management, NCM 2008 - Gyeongju, Korea, Republic of
Duration: Sep 2 2008Sep 4 2008

Other

Other4th International Conference on Networked Computing and Advanced Information Management, NCM 2008
CountryKorea, Republic of
CityGyeongju
Period9/2/089/4/08

Fingerprint

Curve fitting
Splines
Wireless sensor networks
Sensors
Scheduling algorithms
Sensor nodes
Base stations
Decision making
Scheduling

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems

Cite this

Sultan, R., Khan, N. M., & Shafiq, M. (2008). Low duty-cycling with spline-based curve fitting of sensor data in wireless sensor networks. In Proceedings - 4th International Conference on Networked Computing and Advanced Information Management, NCM 2008 (Vol. 1, pp. 497-501). [4624058] https://doi.org/10.1109/NCM.2008.44

Low duty-cycling with spline-based curve fitting of sensor data in wireless sensor networks. / Sultan, Rubina; Khan, Noor M.; Shafiq, Muhammad.

Proceedings - 4th International Conference on Networked Computing and Advanced Information Management, NCM 2008. Vol. 1 2008. p. 497-501 4624058.

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

Sultan, R, Khan, NM & Shafiq, M 2008, Low duty-cycling with spline-based curve fitting of sensor data in wireless sensor networks. in Proceedings - 4th International Conference on Networked Computing and Advanced Information Management, NCM 2008. vol. 1, 4624058, pp. 497-501, 4th International Conference on Networked Computing and Advanced Information Management, NCM 2008, Gyeongju, Korea, Republic of, 9/2/08. https://doi.org/10.1109/NCM.2008.44
Sultan R, Khan NM, Shafiq M. Low duty-cycling with spline-based curve fitting of sensor data in wireless sensor networks. In Proceedings - 4th International Conference on Networked Computing and Advanced Information Management, NCM 2008. Vol. 1. 2008. p. 497-501. 4624058 https://doi.org/10.1109/NCM.2008.44
Sultan, Rubina ; Khan, Noor M. ; Shafiq, Muhammad. / Low duty-cycling with spline-based curve fitting of sensor data in wireless sensor networks. Proceedings - 4th International Conference on Networked Computing and Advanced Information Management, NCM 2008. Vol. 1 2008. pp. 497-501
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