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Energy efficient staggered short transmissions (SST) protocol for wireless sensor networks (WSN)

SAMSUNG ELECTRONICS CO., LTD.
2017
Online Patent

Titel:
Energy efficient staggered short transmissions (SST) protocol for wireless sensor networks (WSN)
Autor/in / Beteiligte Person: SAMSUNG ELECTRONICS CO., LTD.
Link:
Veröffentlichung: 2017
Medientyp: Patent
Sonstiges:
  • Nachgewiesen in: USPTO Patent Grants
  • Sprachen: English
  • Patent Number: 9,788,224
  • Publication Date: October 10, 2017
  • Appl. No: 13/872002
  • Application Filed: April 26, 2013
  • Assignees: Samsung Electronics, Co., Ltd. (Suwon-si, KR)
  • Claim: 1. A method of wireless communication in a wireless sensor network (WSN) of sensor nodes, comprising: selecting an amount of measurement sample transmission from a sensor node in the WSN utilizing a transmission parameter, wherein battery energy savings of the sensor node decrease as the transmission parameter increases, and the transmission parameter comprises a phase shift for discarding certain measurement samples in a measurement space matrix from a transmission of measurement samples; discarding measurement samples from sensed measurement samples based on the transmission parameter; and transmitting the measurement samples from the sensor node without discarded measurement samples based on the transmission parameter.
  • Claim: 2. The method of claim 1 , further comprising: determining the transmission parameter based on a trade-off between energy savings and fidelity of reconstructed estimates for the discarded amount of measurement samples, wherein the transmission parameter is denoted as P, and 1 out of P measurement samples from a particular sensor node are discarded before the measurement samples are transmitted, where P is a positive integer.
  • Claim: 3. The method of claim 2 , further comprising: determining the transmission parameter a priori to the selecting of the amount of measurement sample transmission.
  • Claim: 4. The method of claim 2 , further comprising: determining the transmission parameter in real-time.
  • Claim: 5. The method of claim 1 , further comprising: each sensor node determining the amount of measurement sample transmission based on a particular transmission parameter and monitoring at least one of a physical condition and an environment condition.
  • Claim: 6. The method of claim 5 , further comprising: utilizing a random phase shift for a sensor node to begin discarding selected transmission of measurement samples in the measurement space matrix.
  • Claim: 7. The method of claim 1 , further comprising: each sensor node selecting the amount of measurement sample transmission; and causing estimates for the discarded amount of measurement samples to be reconstructed at a receiver based on the transmitted measurement samples, utilizing measurement sample correlation.
  • Claim: 8. The method of claim 1 , further comprising: each sensor node receiving assignment of the amount of measurement sample transmission.
  • Claim: 9. The method of claim 8 , further comprising: each sensor node selecting certain measurement samples to discard from the measurement space matrix based on assigned phase shifts.
  • Claim: 10. A non-transitory processor-readable medium that includes a program that when executed by a processor performs a method comprising: selecting an amount of measurement sample transmission from a sensor node in a wireless sensor network (WSN) utilizing a transmission parameter, wherein battery energy savings of the sensor node decrease as the transmission parameter increases, and the transmission parameter comprises a phase shift for discarding certain measurement samples in a measurement space matrix from a transmission of measurement samples; discarding measurement samples from the transmission of measurement samples; and transmitting the measurement samples from the sensor node without the discarded amount of measurement samples based on the transmission parameter.
  • Claim: 11. The non-transitory processor-readable medium of claim 10 , wherein the method further comprising: determining the transmission parameter based on a trade-off between energy savings and fidelity of reconstructed estimates for the discarded amount of measurement samples, wherein the transmission parameter is denoted as P, and 1 out of P measurement samples from a particular sensor node are discarded before the measurement samples are transmitted, where P is a positive integer.
  • Claim: 12. The non-transitory processor-readable medium of claim 11 , wherein the method further comprising: determining the transmission parameter a priori to the selecting of the amount of measurement samples.
  • Claim: 13. The non-transitory processor-readable medium of claim 11 , wherein the method further comprising: determining the transmission parameter in real-time; and reconstructing estimates for the discarded amount of measurement samples at a receiver based on received measurement samples, utilizing measurement sample correlation.
  • Claim: 14. The non-transitory processor-readable medium of claim 10 , wherein the method further comprising: each sensor node determining the amount of measurement sample transmission based on a particular transmission parameter and monitoring at least one of a physical condition and an environment condition.
  • Claim: 15. The non-transitory processor-readable medium of claim 14 , wherein the method further comprising: utilizing a random phase shift for a sensor node to begin discarding selected measurement samples in the measurement space matrix.
  • Claim: 16. The non-transitory processor-readable medium of claim 10 , wherein the method further comprising: each sensor node selecting the amount of measurement sample transmission; and reconstructing estimates for the discarded amount of measurement samples at a receiver based on received measurement samples, utilizing measurement sample correlation.
  • Claim: 17. The non-transitory processor-readable medium of claim 10 , wherein the method further comprising: each sensor node receiving assignment of the amount of measurement sample transmission.
  • Claim: 18. The non-transitory processor-readable medium of claim 17 , wherein the method further comprising: each sensor node selecting certain measurement samples to discard from the measurement space matrix based on assigned phase shifts.
  • Claim: 19. A wireless sensor for a wireless sensor network (WSN), comprising: a monitoring processor configured to monitor one or more sensor nodes and to generate measurement samples; and a transmitter configured to transmit measurement samples based on a transmission parameter, wherein battery energy savings of the one or more sensor nodes decrease as the transmission parameter increases, and the transmission parameter comprises a phase shift for discarding certain measurement samples in a measurement space matrix from a transmission of the measurement samples.
  • Claim: 20. The wireless sensor of claim 19 , wherein: the transmitter is configured to discard measurement samples from the transmission of measurement samples based on the transmission parameter, estimates for reconstruction of the discarded amount of measurement samples are based on the transmitted measurement samples, utilizing measurement sample correlation; and the transmission parameter is based on a trade-off between energy savings and fidelity of the reconstructed estimates for the discarded amount of measurement samples.
  • Claim: 21. The wireless sensor of claim 19 , wherein: the transmitter utilizes a random phase shift for the wireless sensor node to begin discarding selected measurement samples in the measurement matrix.
  • Claim: 22. The wireless sensor of claim 19 , wherein: the wireless sensor node selects certain measurement samples to discard from the measurement space matrix based on an assigned phase shift.
  • Patent References Cited: 6333917 December 2001 Lyon ; 7177304 February 2007 Mo et al. ; 9094916 July 2015 Hui ; 2007/0165566 July 2007 Khan et al. ; 2011/0319020 December 2011 Desai et al. ; 2013/0127637 May 2013 Seroussi et al.
  • Other References: Anonyomous, “EE 424 #1: Sampling and Reconstruction”, Jan. 13, 2011, pp. 1-30, Iowa State, United States (downloaded from http://www.ece.iastate.edu/˜namrata/EE424/11.pdf) cited by applicant ; Wang, Y., “EE3414 Multimedia Communication Systems—I, Sampling and Interpolation”, 2006, pp. 1-34, Polytechnic University, United States. cited by applicant ; Rehfeld, K. et al., “Comparison of correlation analysis techniques for irregularly sampled time series”, Jun. 23, 2011, pp. 1-2, Nonlinear Processes in Geophysics, United States. cited by applicant ; Ayaz, H., “Short notes on B-Spline Interpolation, Approximation and Reconstruction filters”, 2003, pp. 1-5, Bogazici University, Turkey. cited by applicant
  • Primary Examiner: Chung, Hoon J
  • Attorney, Agent or Firm: Sherman IP LLP ; Sherman, Kenneth L. ; Laut, Steven

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