Macrodiversity in wireless sensor networks based on the generalized approach to signal processing

  • Authors:

  • Jai-Hoon Kim;Vyacheslav Tuzlukov;Won-Sik Yoon;Yong Deak Kim

  • Affiliations:

  • Department of Electrical and Computer Engineering, College of Information Technology, Ajou University, Suwon, Republic of Korea;Department of Electrical and Computer Engineering, College of Information Technology, Ajou University, Suwon, Republic of Korea;Department of Electrical and Computer Engineering, College of Information Technology, Ajou University, Suwon, Republic of Korea;Department of Electrical and Computer Engineering, College of Information Technology, Ajou University, Suwon, Republic of Korea

  • Venue:
  • ICCOM'05 Proceedings of the 9th WSEAS International Conference on Communications
  • Year:
  • 2005

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Abstract

The effect of correlated lognormal shadowing on the average probability of error performance of narrow-band wireless sensor network systems with micro-and macrodiversity reception in a Rician fading channel is investigated by considering a constant correlation model for the shadowed signals at the fusion center or sensor sink of wireless sensor network with radio channel. The performance degradation due to correlated shadowing is illustrated by considering both coherent and differentially coherent binary phase-shift keying schemes. Numerical results presented show that when the sensors in a wireless sensor network system are very closely spaced, the effect of correlated shadowing on system performance cannot be ignored. The obtained results allow us to define the lower and upper bounds on wireless sensor network system performance.