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Energy-Efficient Algorithm for Multicasting in Duty-Cycled Sensor Networks.

Quan Chen1, Siyao Cheng2, Hong Gao3

  • 1School of Computer Science and Technology, Harbin Institute of Technology, 92 West Dazhi Street, Harbin 150001, China. chenquan@hit.edu.cn.

Sensors (Basel, Switzerland)
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Summary
This summary is machine-generated.

This study addresses minimum energy multicasting in asynchronous, duty-cycled wireless sensor networks. An efficient algorithm is proposed to reduce energy consumption and transmission redundancy for one-to-many communications.

Keywords:
Steiner treeduty cycleenergy optimizationmulticastingpower awarewireless sensor networks

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Area of Science:

  • Computer Science
  • Wireless Networks
  • Energy Efficiency

Background:

  • Multicasting is crucial for one-to-many communication in wireless sensor networks (WSNs).
  • Asynchronous duty-cycled operation in WSNs complicates energy-efficient multicasting due to repeated transmissions.
  • The minimum energy multicasting problem becomes NP-hard in these networks.

Purpose of the Study:

  • To address the Minimum Energy Multicasting with Adjusted Power (MEMAP) problem in duty-cycled WSNs.
  • To develop an efficient algorithm for minimum energy multicasting considering asynchronous duty cycles.
  • To reduce energy consumption and transmission redundancy in WSN multicasting.

Main Methods:

  • Introduced the concept of an auxiliary graph to integrate power/time scheduling and multicast tree construction.
  • Proposed a greedy algorithm for constructing the auxiliary graph.
  • Developed an approximate scheduling and constructing algorithm with an approximation ratio of 4 ln K.

Main Results:

  • The MEMAP problem was proven to be NP-hard.
  • The proposed auxiliary graph effectively integrates scheduling and construction aspects.
  • The approximate algorithm demonstrated efficiency in reducing energy cost and transmission redundancy.

Conclusions:

  • The developed algorithm offers an efficient solution for minimum energy multicasting in duty-cycled WSNs.
  • Theoretical analysis and experiments confirm the algorithm's effectiveness.
  • The approach successfully balances energy efficiency and communication reliability.