Adjusting sink location to reduce end-to-end delay in low-duty-cycle wireless sensor networks

Yu Yuan Lin, Kuo Feng Ssu, Hau Yu Chiang

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

Low-duty-cycle mechanisms can reduce the energy consumption significantly in wireless sensor networks (WSNs). Sensors stay dormant most of the time to save their energy and wake up based on their needs. However, such a technique, while prolonging the network lifetime, sets excessive challenges for reducing the end-to-end (E2E) delay within the network.In this paper, the centralized cluster-based location finding (CCLF) algorithm is proposed to reduce the high latency in low-duty-cycle WSNs by finding a suitable position for the sink. The algorithm is mainly composed of three steps: a) the cluster construction, b) the fast look-up table (FLU-table) construction, and c) the sink location decision. The simulation results show that the performance of the CCLF algorithm is significantly similar to that of the optimal algorithm. Moreover, the CCLF algorithm requires less operation time compared with the optimal algorithm.

Original languageEnglish
Pages (from-to)20-26
Number of pages7
JournalJournal of Electronic Science and Technology
Volume13
Issue number1
DOIs
Publication statusPublished - 2015 Jan 1

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All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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