Distributed Estimation of IIR System’s Parameters in Sensor Network by Multihop Diffusion LMS Algorithm

  • Meera DashEmail author
  • Trilochan Panigrahi
  • Renu Sharma
Conference paper
Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 109)


In literature, distributed LMS algorithm for finite impulse response (FIR) systems has been studied as it is stable inherently. But infinite impulse response (IIR) systems are used in wireless sensor network (WSN) based application. Hence, adaptive IIR filter is assumed at each sensor node to estimate the parameters in the network. Diffusion mode of cooperation among the sensor nodes is incorporated. By doing this, the probability of trapping in local minima, which is the major drawback in IIR system, is reduced if each node is well connected to more number of neighbors. But the connectivity is reduced in sparse sensor network. Therefore, IIR multihop diffusion LMS (DLMS) algorithm is incorporated to the sparse sensor network. It is seen from the results of simulation that 2-hop DLMS provides best results by providing least steady-state mean square error and mean square deviation with minimum number of iterations. In order to minimize the communication overhead, block LMS is proposed.


IIR systems Diffusion LMS Distributed estimation Wireless sensor network Multihop diffusion 


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© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Department of Electronics and Communication EngineeringSOA (Deemed to be) UniversityBhubaneswarIndia
  2. 2.Department of Electrical EngineeringInstitute of Technical Education and Research, SOA (Deemed to be) UniversityBhubaneswarIndia

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