Login / Signup

Enhanced Message-Passing Based LEACH Protocol for Wireless Sensor Networks.

Jaeyoung KangIllsoo SohnSang Hyun Lee
Published in: Sensors (Basel, Switzerland) (2018)
This paper proposes a distributed energy-efficient clustering protocol for wireless sensor networks (WSNs). Based on low-energy adaptive clustering hierarchy (LEACH) protocol, the proposed LEACH-eXtended Message-Passing (LEACH-XMP) substantially improves a cluster formation algorithm, which is critical for WSN operations. Unlike the previous approaches, a realistic non-linear energy consumption model is considered, which renders the clustering optimization highly nonlinear and challenging. To this end, a state-of-the-art message-passing approach is introduced to develop an efficient distributed algorithm. The main benefits of the proposed technique are its inherent nature of a distributed algorithm and the saving of computational load imposed for each node. Thus, it proves useful for a practical deployment. In addition, the proposed algorithm rapidly converges to a very accurate solution within a few iterations. Simulation results ensure that the proposed LEACH-XMP maximizes the network lifetime and outperforms existing techniques consistently.
Keyphrases
  • neural network
  • machine learning
  • deep learning
  • randomized controlled trial
  • single cell
  • rna seq
  • lymph node
  • low cost