Energy efficient cooperation in underlay RFID cognitive networks for a water smart home

Adnan Nasir, Syed Imtiaz Hussain, Boon Hee Soong, Khalid Qaraqe

Research output: Contribution to journalArticle

9 Citations (Scopus)

Abstract

Shrinking water resources all over the world and increasing costs of water consumption have prompted water users and distribution companies to come up with water conserving strategies. We have proposed an energy-efficient smart water monitoring application in [1], using low power RFIDs. In the home environment, there exist many primary interferences within a room, such as cell-phones, Bluetooth devices, TV signals, cordless phones and WiFi devices. In order to reduce the interference from our proposed RFID network for these primary devices, we have proposed a cooperating underlay RFID cognitive network for our smart application on water. These underlay RFIDs should strictly adhere to the interference thresholds to work in parallel with the primary wireless devices [2]. This work is an extension of our previous ventures proposed in [2,3], and we enhanced the previous efforts by introducing a new system model and RFIDs. Our proposed scheme is mutually energy efficient and maximizes the signal-to-noise ratio (SNR) for the RFID link, while keeping the interference levels for the primary network below a certain threshold. A closed form expression for the probability density function (pdf) of the SNR at the destination reader/writer and outage probability are derived. Analytical results are verified through simulations. It is also shown that in comparison to non-cognitive selective cooperation, this scheme performs better in the low SNR region for cognitive networks. Moreover, the hidden Markov model’s (HMM) multi-level variant hierarchical hidden Markov model (HHMM) approach is used for pattern recognition and event detection for the data received for this system [4]. Using this model, a feedback and decision algorithm is also developed. This approach has been applied to simulated water pressure data from RFID motes, which were embedded in metallic water pipes.

Original languageEnglish
Pages (from-to)18353-18369
Number of pages17
JournalSensors (Switzerland)
Volume14
Issue number10
DOIs
Publication statusPublished - 30 Sep 2014

Fingerprint

Radio Frequency Identification Device
Radio frequency identification (RFID)
Water
interference
signal to noise ratios
Signal-To-Noise Ratio
water
Equipment and Supplies
Signal to noise ratio
Hidden Markov models
water consumption
energy
water resources
water pressure
thresholds
readers
probability density functions
pattern recognition
Water Resources
rooms

Keywords

  • Cognitive networks
  • Leak detection
  • RFID
  • Selective cooperation
  • Smart homes
  • Underlay networks and water monitoring

ASJC Scopus subject areas

  • Analytical Chemistry
  • Atomic and Molecular Physics, and Optics
  • Biochemistry
  • Electrical and Electronic Engineering

Cite this

Energy efficient cooperation in underlay RFID cognitive networks for a water smart home. / Nasir, Adnan; Hussain, Syed Imtiaz; Soong, Boon Hee; Qaraqe, Khalid.

In: Sensors (Switzerland), Vol. 14, No. 10, 30.09.2014, p. 18353-18369.

Research output: Contribution to journalArticle

Nasir, Adnan ; Hussain, Syed Imtiaz ; Soong, Boon Hee ; Qaraqe, Khalid. / Energy efficient cooperation in underlay RFID cognitive networks for a water smart home. In: Sensors (Switzerland). 2014 ; Vol. 14, No. 10. pp. 18353-18369.
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